Google Scholar Citations Research Articles

Electrical energy by electrode placement for cardioversion of atrial fibrillation: a systematic review and meta-analysis

ObjectiveElectrode patch position may not be critical for success when cardioverting atrial fibrillation (AF), but the relevance of applied electrical energy is unclarified. Our objective was to perform a meta-analysis...

Online platforms and social networks for the creation of research profiles

Nowadays, scientific communication is enriched by the use of new ways of storing, publishing and disseminating research findings. Said new ways of scientific communication are known as the so-called academic profile platforms, which include Scopus author ID, ORCID, Publons and Kudos and -on the other hand- social research networks, including ResearchGate, Academia.edu and Google Scholar citations. These tools have a main objective: enhancing both visibility and impact of contents and publications. They are multidisciplinary web pages that contain individual research profiles with network hyperlinks to magazines, databases and other sources. In some cases, bibliometric indicators are included, which allow measuring the impact caused by studies based on literature. This study compares the main online platforms, as well as some of the social research networks that currently exist for the creation of research profiles.

The air traffic control training process: A review of research

Air traffic control (ATC) is a complex part of the air transport system. Training in this activity takes more than one year and requires special qualities and abilities from all participants in this process. Recent studies consider the learning process as one of the determining factors that further influences the efficiency of aviation personnel. The purpose of this review article was to describe the available researches on the ATC training process and related areas, to analyze them, to identify gaps and areas where further research can be conducted. The studies were divided into several areas: studies analyzing ATC training programs (at the FAA Academy and other organizations); research related to simulator training; instructor methods in ATC training; related to ATC instructor competence; interaction between the instructor and the student, etc. In preparing this review, literature sources were used in publications included in Scopus, Web of Science, Google Scholar, Cyberleninka and Russian Science Citation Index. Preference was given to sources published in the last 17 years. The work can be useful for researchers of psychological, pedagogical aspects of the work of ATC instructors, students, as well as all those who are interested in finding methods to improve the efficiency of ATC and reduce the impact of the human factor on their work.

Bibliometric Analysis of Msme Digitalization and Financial Literacy for Efforts to Increase Post-Pandemi Income in 2018-2023

Knowledge of financial literacy is an important aspect of life. In practice, there are several advantages that are obtained by MSMEs due to increased knowledge and ability to manage a business better. Apart from being able to boost financial benefits through increasing online sales and providing benefits for buyers with the opportunity to save costs, what is equally important is that MSME financial literacy will also open new spaces that can prevent MSME actors from collapsing in the economic crisis. This study aims to analyze scientific articles to map MSME digitization research and financial literacy by theme, location and research subject as well as the research methods used. This type of research is a qualitative approach. The research data collected in this study from the Google Scholar citation web page used the Harzing's Publish or Perish application. The results showed that the years 2018-2023 were indexed on Google Scholar the highest in 2022 which reached 467 publications (47.08%) . The most publications by type of article are as many as 929 (93.65%). The growing public awareness and need for understanding financial literacy is one of the factors in increasing financial literacy research.

Emotional Experience of People With Schizophrenia and People at Risk for Psychosis

Psychotic symptoms are associated with subjective reports of aberrant emotion, such as excessive fear or anhedonia, but whether these aberrations reflect aberrant emotional experience of normative stimuli is uncertain both for individuals with schizophrenia and those at risk for psychosis. To provide a meta-analysis of study samples of emotional experience in individuals with schizophrenia and those at risk for psychosis as assessed in laboratory-based emotion-induction studies. MEDLINE and PsycINFO databases were searched for articles published from January 1986 and Google Scholar citations of a relevant earlier meta-analysis until August 2022. Reference lists were manually searched for additional studies. Included studies measured positive or negative emotional experience in response to standardized emotionally evocative stimuli and compared participants diagnosed with schizophrenia or participants at risk for psychosis with healthy controls. The meta-analysis was registered with PROSPERO and followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses reporting guidelines. Data were extracted by 2 independent coders, and random-effects analyses were conducted. Outcomes were 3 scales of emotional experience (unipolar positive emotion, unipolar negative emotion, bipolar valence), analyzed separately for pleasant, neutral, and unpleasant stimuli. A meta-analysis was conducted for differences between the 2 clinical groups combined and controls. Subgroup differences (schizophrenia vs at risk) and the influence of several other variables were tested in moderator analyses. This systematic review and meta-analysis included data from 111 studies and 6913 participants (schizophrenia: 2848 [41.2%]; at risk: 877 [12.7%]; healthy controls: 3188 [46.1%]). Compared with controls, people with schizophrenia and those at risk for psychosis experienced pleasant stimuli as less positive (unipolar positive: standardized mean difference [SMD] Hedges g = -0.19; P =.001; bipolar valence: SMD Hedges g = -0.28; P <.001) and more negative (Hedges g = 0.52; P <.001), neutral stimuli as more negative (Hedges g = 0.55; P <.001), and unpleasant stimuli as both more positive (unipolar positive: SMD Hedges g = 0.23; P =.005; bipolar valence: Hedges g = 0.12; P =.01) and more negative (Hedges g = 0.22; P <.001). Moderator analyses indicated a less aberrant emotional experience for odors than for visual stimuli (unipolar negative, pleasant z score = -2.97; P =.003; unipolar negative, neutral z score = -2.70; P =.007), an association between higher negative symptoms and diminished positive emotion for pleasant stimuli in schizophrenia (z score = -2.98; P =.003), and that subgroup differences were limited to neutral stimuli. Results suggest a pattern of aberrant emotional experience of normative stimuli in schizophrenia and that this already was observable before disorder onset. In particular, the aberrant experience of pleasant stimuli needs to be considered as an intervention target.

Managing aspects of the implementation of the practice of dispatcher-assisted first aid for cardiac arrest in the Russian Federation (literature review)

High death rates in out-of-hospital cardiac arrest are mainly associated with failure of bystanders to provide lifesaving help before arrival of medical professionals. This constitutes a major problem for present-day Russia and determines the urgent need to take managing measures aimed at maximizing involvement of the lay public into the process of resuscitation and first aid provision. Based on an analysis of contemporary scientific literature, this paper provides a justification for creation and implementation of a unified coordinated program of dispatcher-assisted cardiopulmonary resuscitation (DA-CPR), when dispatchers of emergency services provide witnesses of cardiac arrest with instructions on how to perform resuscitation over the telephone in Russia. In particular, the article describes the foreign experience of implementation of DA-CPR programs that confirms a high effectiveness of the dispatcher support as it applies to outcomes of out-of-hospital cardiac arrest; it discusses a place of DA-CPR in current international guidelines on management of cardiac arrest; and it gives an analysis of managing and legal prerequisites for implementation of DA-CPR into the daily work of emergency medical services and 112-emergency system in Russia, including the existing dispatching infrastructure for implementation of the DA-CPR program, and current legal framework that regulates management and operation of the emergency services that provide remote consultations on health protection for the public. Based on the analysis, priority managing measures were identified aimed at effective and unified implementation of the DA-CPR in Russia. For relevant literature, we searched Medline, Scopus, Web of Science, Google Scholar and Russian Science Citation Index.

Analisis Bibliometrik Trend Penelitian Pemodelan Matematis Menggunakan Database Google Scholar, Publish or Perish, dan Vosviewer

This study aims to identify the topic of the study of mathematical modeling by highlighting publications on Google Scholar from 1951 to 2022. This study uses the Google Scholar citation database for 71 years to collect articles. The keyword used in this research is "mathematical modeling" with a filter of English documents. Simple statistical methods were used, and bibliometric analysis was performed using Publish or Perish and Vos-viewer software. This study visualizes the co-occurrence patterns of keywords and citations. This study reveals a significant research trend in the field of mathematical modeling from 71 years ago. Based on the visualization of the large cluster network map which includes mathematical modeling concepts, it is known that the health sector is dominant as the background for its presence. Study of the topic of mathematical modeling still revolves around theoretical developments, economics, industry and environment. However, there has been no study of mathematical modeling in the social and cultural fields. Moreover, by using the bibliometric method to re-identify keywords that are in accordance with the development of problem solving through mathematical models

Digital Display Preference of Electronic Gadgets for Visual Comfort: A Systematic Review.

Digital devices such as smartphones, tablets, computers, and laptops are used for various purposes. The digital display quality has been improved, making it less tiring and more favoured among users. This study aimed to review the visual comfort of digital devices and the preferences of digital display settings that enhance the visual comfort experienced by digital device users. A search of PubMed, EBSCO host MEDLINE Complete, Scopus database, Google Scholar, and manual citation review was conducted, covering the period between 2010 and 2022. The criteria were selected based on the PRISMA statements. The search mainly focused on finding the existing literature on digital devices that contribute to visual discomfort and digital device settings that provide better visual comfort. The database search resulted in 533 references via the application of Microsoft Excel. There were 28 studies included in the final assessment. Twelve studies accounted for digital devices that contributed to visual discomfort, while another sixteen studies for digital device settings provided better visual comfort. Digital displays with high luminance contrast, positive polarity and adequate colour were preferred for better visual comfort. Meanwhile, smaller fonts were preferred for desktops and laptops, while larger fonts were favoured for smartphones. This study provides insights for digital display developers to learn and improve their display technology to fit the preferences expressed.

Sodium-glucose Cotransporter-2 Inhibitors induced euglycemic diabetic ketoacidosis: A meta summary of case reports.

Sodium-glucose cotransporter-2 inhibitors (SGLT2i) are commonly prescribed to manage patients with diabetes mellitus. These agents may rarely lead to the development of euglycemic diabetic ketoacidosis (EDKA), which may complicate the disease course of these patients. To analyze the demographic profile, predisposing factors, symptomology, clinical interventions and outcomes of patients presenting with EDKA secondary to SGLT2i use by reviewing the published case reports and series. We performed a systematic search of PubMed, Science Direct, Google Scholar and Reference Citation Analysis databases using the terms "canagliflozin" OR "empagliflozin" OR "dapagliflozin" OR "SGLT2 inhibitors" OR "Sodium-glucose cotransporter-2" AND "euglycemia" OR "euglycemic diabetic ketoacidosis" OR "metabolic acidosis". The inclusion criteria were: (1) Case reports or case series with individual patient details; and (2) Reported EDKA secondary to SGLT2i. Furthermore, the data were filtered from the literature published in the English language and on adults (> 18 years). We excluded: (1) Conference abstracts; and (2) Case reports or series which did not have individual biochemical data. All the case reports and case series were evaluated. The data extracted included patient demographics, clinical symptomatology, clinical interventions, intensive care unit course, need for organ support and outcomes. Overall, 108 case reports and 17 cases series with 169 unique patients that met all the inclusion criteria were included. The majority of patients were females (54.4%, n = 92), and the commonly reported symptoms were gastrointestinal (nausea/vomiting 65.1%, abdominal pain 37.3%) and respiratory (breathlessness 30.8%). One hundred and forty-nine (88.2%) patients had underlying type II diabetes, and the most commonly involved SGLT-2 inhibitor reported was empagliflozin (46.8%). A triggering factor was reported in most patients (78.7%), the commonest being acute severe infection (37.9%), which included patients with sepsis, coronavirus disease 2019, other viral illnesses, and acute pancreatitis. 61.5% were reported to require intensive unit care, but only a minority of patients required organ support in the form of invasive mechanical ventilation (13%), vasopressors (6.5%) or renal replacement therapy (5.9%). The overall mortality rate was only 2.4%. Patients on SGLT2i may rarely develop EDKA, especially in the presence of certain predisposing factors, including severe acute infections and following major surgery. The signs and symptoms of EDKA may be similar to that of DKA but with normal blood sugar levels, which may make the diagnosis challenging. Outcomes of EDKA are good if recognized early and corrective actions are taken. Hence, physicians managing such patients must be aware of this potential complication and must educate their patients accordingly to ensure early diagnosis and management.

The Role of Social Media for Identifying Adverse Drug Events Data in Pharmacovigilance: Protocol for a Scoping Review.

Adverse drug events (ADEs) are a considerable public health burden resulting in disability, hospitalization, and death. Even those ADEs deemed nonserious can severely impact a patient's quality of life and adherence to intervention. Monitoring medication safety, however, is challenging. Social media may be a useful adjunct for obtaining real-world data on ADEs. While many studies have been undertaken to detect adverse events on social media, a consensus has not yet been reached as to the value of social media in pharmacovigilance or its role in pharmacovigilance in relation to more traditional data sources. The aim of the study is to evaluate and characterize the use of social media in ADE detection and pharmacovigilance as compared to other data sources. A scoping review will be undertaken. We will search 11 bibliographical databases as well as Google Scholar, hand-searching, and forward and backward citation searching. Records will be screened in Covidence by 2 independent reviewers at both title and abstract stage as well as full text. Studies will be included if they used any type of social media (such as Twitter or patient forums) to detect any type of adverse event associated with any type of medication and then compared the results from social media to any other data source (such as spontaneous reporting systems or clinical literature). Data will be extracted using a data extraction sheet piloted by the authors. Important data on the types of methods used (such as machine learning), any limitations of the methods used, types of adverse events and drugs searched for and included, availability of data and code, details of the comparison data source, and the results and conclusions will be extracted. We will present descriptive summary statistics as well as identify any patterns in the types and timing of ADEs detected, including but not limited to the similarities and differences in what is reported, gaps in the evidence, and the methods used to extract ADEs from social media data. We will also summarize how the data from social media compares to conventional data sources. The literature will be organized by the data source for comparison. Where possible, we will analyze the impact of the types of adverse events, the social media platform used, and the methods used. This scoping review will provide a valuable summary of a large body of research and important information for pharmacovigilance as well as suggest future directions of further research in this area. Through the comparisons with other data sources, we will be able to conclude the added value of social media in monitoring adverse events of medications, in terms of type of adverse events and timing. PRR1-10.2196/47068.

Kinesiology Review’s Scholarly Influence: An Audit of Its First Decade

This study documented the scholarly influence of the first 10 years (2012–2021) of Kinesiology Review (KR). Publication, indexing, and citation data were collected from Google Scholar, the KR editor and website, and two open services using Scopus bibliometric data. KR published 356 articles with recent acceptance rates and median initial review times of 30%–55% and 63–85 days, respectively. KR is indexed in five databases, with searches of Google Scholar indicating 92% have received citations by April 5, 2023. The top 36 (10%) cited articles received a total of 2,533 Google Scholar citations. Top cited KR articles had medians of 50 citations and eight citations/per year over 8 years since their publication, as well as 2021 SCImago Journal Rank and SNIP (source-normalized impact per paper) values similar to many kinesiology journals. There was broad subdisciplinary representation with top cited articles from Behavioral/Social Sciences, Biomedical Sciences, Interdisciplinary/Other, and Humanities. KR makes influential contributions synthesizing kinesiology’s interdisciplinarity knowledge.

A Popularity Contest? Exploring Predictors of Faculty Influence in Criminology and Criminal Justice

Our study analyzes the factors associated with the faculty influence. We explore Google Scholar citation counts of 226 faculty at the top 20 doctoral programs in criminology and criminal justice. Our multivariate models show that some of the publication-related factors matter; the number of journal articles, proportion of articles published in prestigious journals, and proportion of books published with prestigious publishers are all positively related to citation counts, while the proportion of solo-authored articles and the number of textbooks published are both negatively related to the citation counts. Among demographic factors, faculty rank, length of years since the Ph.D., and race are related to citation counts, while gender is not. Finally, institutional prestige is positively related to citation counts, while the field of specialization is not.

Google Scholar Profile for Institutions: A Sample Study

This study examines the Google Scholar profile for Gandhigram Rural Institute. Gandhigram Rural Institute (deemed to be university) has established a Google Scholar profile for their research. The Gandhigram Rural Institute’s faculty publications information was collected from Web of Science and Scopus as of 22 January 2021. After consolidating the data from Web of Science and Scopus, a Google Scholar profile was created. After generating a profile, missing publication data were added to the profile as a sample for the year 2020. The present study information was obtained from Gandhigram Rural Institute Google Scholar profile. It was examined using data from Google Scholar, Web of Science and Scopus. Department publications, Google Scholar citations, the top 15 highly cited papers, and the citations and h-index of the top 15 faculty members were all analysed. It is discovered that ‘Department of Chemistry’ has published 78 (33.77%) publications and has received the greatest number of citations from Google Scholar, 294 (64.19%) citations from Web of Science and 96 (50.79%) citations from the Scopus database. It is found that Faculty S. Meenakshi has received the highest number of 232 (27.10%) citations from Google Scholar, 134 (29.26%) citations from the Web of Science and 47 (28.87%) citations from Scopus. It concluded that having an institution profile in the Google Scholar profile makes it very difficult to update and strengthen all the data in the profile. A Google Scholar profile can be useful as an individual profile if the data are kept up-to-date and maintained.

A longitudinal analysis of highly cited papers in four CALL journals

AbstractThis study traces the evolution of computer-assisted language learning (CALL) by investigating published research articles (RAs) in four major CALL journals: ReCALL, Computer Assisted Language Learning, Language Learning &amp; Technology, and CALICO Journal. All 2,397 RAs published over four decades (1983–2019) were included in the pool of data, and the Google Scholar citation metric was adopted to assess the impact of the papers. By selecting the top 15% of widely cited papers from each individual year, we minimized the time bias between years, enabling a balanced narration of the history of CALL through a representative dataset of 426 high-impact RAs. To identify the evolution of research trends, the contexts, methodologies, theoretical underpinnings and research foci of all 426 RAs were investigated using NVivo 12 and AntConc. The analysis of the data yielded encouraging results such as the upward trend in the number of publications and the international reach of CALL in the last two decades, the physical or virtual presence of language learners with diverse language profiles, and the growing tendency to triangulate methodology for increased complexity. However, long-standing issues such as the heavy reliance on traditional research contexts, poor reporting practices of basic demographic information, the large number of atheoretical papers and the concentration on a limited number of research foci continue to pose challenges in CALL research. Based on the findings, the paper suggests solutions for the controversies and addresses key issues for future research in CALL.

Comparing Manually Added Research Labels and Automatically Extracted Research Keywords to Identify Specialist Researchers in Learning Analytics: A Case Study Using Google Scholar Researcher Profiles

Google Scholar (GS) has an interesting feature that allows researchers to manually assign certain research keywords to their profiles, referred to as research labels. These research labels may be used to find out and filter relevant resources, such as publications and authors. However, using manually appended research labels for identification may have limitations in terms of consistency, timeliness, objectivity, and mischaracterization. This paper aims to explore the difference between manually assigned research labels and automatically extracted keywords for identifying specialist Learning Analytics (LA) researchers. For this study, data were collected on 4732 publications from 1236 authors displaying “Learning Analytics” in their public GS profile labels, using their most cited publications since 2011. Our analysis methodology involved various text-mining techniques such as cosine similarity and text matching. The results showed that 446 of the 1236 authors were specialist researchers, 643 were occasional researchers, and 90 were interested researchers. The most interesting finding, using our methodology, was identifying 10 early career researchers independent of their GS citation count. Overall, while manually added research labels may provide some useful information about an author’s research interests, they should be used with caution and in conjunction with another source of information such as automatically extracted keywords to identify accurately specialist learning analytics researchers.

Group-based active artistic interventions for adults with primary anxiety and depression: a systematic review

ObjectivesThis systematic review examined the potential benefit of all group-based performing arts interventions for primary anxiety and/or depression.SettingScholarly literature from any country or countries globally.Data sourcesThree key bibliographic databases, Google...

Effects of Phytochemicals from Fermented Food Sources in Alzheimer's Disease In Vivo Experimental Models: A Systematic Review.

The socioeconomic burden of Alzheimer's Disease (AD) stems from its characteristic multifactorial etiology and, implicitly, the difficulties associated with its treatment. With the increase in life expectancy and health awareness, nutraceuticals and functional foods are filling in the gaps left by the limitation of classical medical treatment in chronic conditions associated with lifestyle factors, such as neurological disorders. Processes, such as fermentation that enhance food phytochemical content are garnering increased attention due to their functional and health-related properties. This systematic review aims to provide an overview of the evidence of phytochemicals from fermented food sources inducing therapeutic outcomes and cognitive benefits from in vivo experimental models of Alzheimer's Disease. The present systematic review was conducted in accordance with PRISMA guidelines. Searches were performed in the following databases: MEDLINE, Embase, Cochrane, Scopus, Google Scholar, and Science Citation Index Expanded (Web of Science) by two independent reviewers. Titles and abstracts yielded by the search were screened for eligibility against the inclusion criteria. The search strategy yielded 1899 titles, encompassing studies from 1948 to 2022. After the removal of duplicates, and screening of titles, abstracts, and full texts, thirty three studies obtained from the original search strategy and seven studies from references satisfied the inclusion criteria and were included in the present systematic review. Several studies have emphasized the potential of fermentation to yield small-molecule phytochemicals that are not present in raw products. When these phytochemicals are combined, their collective strength has demonstrated the ability to exceed the antioxidant, anti-inflammatory, and neuroprotective benefits of individual phytochemicals when given in their pure form. Among the various fermented foods that have been studied, soy isoflavones obtained through fermentation have shown the most substantial evidence of altering phytochemical content and improving outcomes in animal models of AD. While promising in initial results, other fermented foods and traditional medicines require more detailed research in order to establish their effectiveness and proper utilization. As is, many of the experimental designs lacked phytochemical analysis of the used fermented product or comparison with the non-fermented counterpart. This, coupled with proper reporting in animal studies, will significantly raise the quality of performed studies as well as the weight of obtained results.

A Curious Case of Eroded Citations and the Current Status of Top 50 Cited Articles by Indian Periodontists: A Bibliometric Analysis

Context: The bibliometric studies on topmost articles on many subjects are available and fascinating, but there is no research available analyzing the fate of top-cited articles. The citation to an article is a dynamic process which is dependent on a multitude of factors and may indicate the direction of research. Aims: The aim of this study was to analyze using bibliometric approach the current status of the top 50 cited articles by Indian periodontists based on the PubMed database published in 2014. Settings and Design: The study was conducted at the Departments of Periodontology at Dental Council of India recognized Maharashtra Institute of Dental Sciences &amp; Research, Latur. It is a comparative follow-up bibliometric citation analysis of publications by Indian Periodontists. Subjects and Methods: All the 50 top-cited articles were individually searched on PubMed and Google Scholar databases for their availability and citations. The citations received by these articles till November 25, 2022, by 11.00 a.m. Indian Standard Time were subjected to detailed analyses. Statistical Analysis Used: Descriptive statistics using mean, median, range, percentages, and proportions were used for analysis. Results: Total citations to the 50 articles were increased from 597 (2012) to 932 (2022) with an overall increase of 6.7 citations/article. Seventeen (34%) articles showed a decrease in citations as compared to 2012 numbers; a decline of 99 citations with an average of 5.8 citations/article. One article showed no change, and the rest 32 (64%) noted an increase by 434, averaging 13.6 citations/article. The topmost 2012 article was relegated to the 10th spot in 2022 while it remained at the 6th spot in Google Scholar citations. In 2022, the topmost article received 57 PubMed and 466 Google Scholar citations. Conclusions: A top-cited or classic article may not remain at that position through its lifecycle, but goes on receiving citations. There are instances of “erosion in citations” as well which needs to be recognized and awareness among researchers is necessary. There is a need to identify the current top 50 classic articles and compare them with these to understand the focus on current research topics.

Pioneering role of the Production and Operations Management in promoting empirical research in operations management

We describe the pioneering role of the Production and Operations Management ( POM) in promoting empirical research in innovation, operations, and supply chain management. We also review and discuss the most influential empirical papers published in POM based on each paper's Google Scholar citation counts. We selected the top 200 cited papers from the 2085 papers published or forthcoming in POM to identify the most influential empirical papers. We classify these 200 papers into three categories: (a) review and conceptual development, (b) analytical, and (c) empirical papers, and then compare these papers across the categories in terms of citation counts. Next we analyze the 75 empirical papers from the top 200 cited papers published in POM by covered topics, data sources, and data analysis methods. Focusing the analysis on empirical papers among the top 200 cited papers can underrepresent emerging themes among the more recently published empirical papers. Therefore, we also analyze 19 more recent empirical papers from 2016 to 2021 that are not covered in the top 200 cited papers but have been impactful given the brief time since their publication. We conclude by offering our thoughts on how editors, reviewers, and authors can work together to further enhance and ensure the quality and influence of future operations management (OM) empirical science research.

A Review on Geospatial Information Systems in Cloud Computing

Cloud computing technology is one of the most important technology in information systems (IS) today. It is an important alternative that ensures powerful data processing, storage and exchange. And as a result of the emergence of multiple sources of spatial data and their tremendous growth and the expansion of areas of use of Geospatial Information Systems (GIS), it became necessary to integrate these tow technologies to achieve the optimum benefit of these technologies to make Geospatial Information Systems capable of accommodating the large, rapid, and diverse amounts of spatial data available nowadays. Cloud computing is a new paradigm in Geographic Information Systems. Although there are many publications related to cloud computing in Geographic Information System, there is no systematic review of current research taxonomies .The purpose of this paper is to conduct a survey on GIS Cloud Computing. It addresses the different GIS Cloud frameworks or architectures. The search for articles carried out in general academic databases including the Scopus database, Web of Science Core Collection, and Google Scholar Citations. Retried articles are analysed according to inclusion and exclusion criteria, finally articles selected for review.