Number Of Citations For Publications Research Articles

Arts, Humanities, and Social Sciences: A Scoping Review of Uncited Research

The goal of this bibliometric analysis is to summarize publications on the contributions of a higher education university in arts, humanities, and social sciences and evaluate their citation status. Ninety-one publications were indexed in Scopus and WOS databases between 2018 and 2022. All publications appeared in 69 different journals, books, and conferences. About 51.6% of all studies were single-authored. The median number of publications per author was 27.01 ± 48.0 and that of citations was 223.0 ± 764.0. Positive correlations were observed between the journal’s CiteScore and authors’ count with citation number ( r2 = .625 and .207 respectively; p < .005). Publications written by ≥3 authors with international collaboration received the maximum number of citations ( p < .005). Moreover, the mean number of citations for publications written by associate or assistant professors was significantly higher than those composed by their peers ( p = .033). Defining the field of arts and humanities remains a difficult exercise, because of its blurry theoretical background. Thus, a repetitive evaluation of its current status remains essential.

Predicting the impact of no. of authors on no. of citations of research publications based on neural networks

Any work's citations are regarded as a key characteristic that leads to its appraisal and study. Citations are one of the most important indicators of a research publication's quality. Citations can have a favorable or bad impact on any piece of work or publication depending on a variety of circumstances, including author skill, publication venue, research topic, and so on. The goal of this study is to see how the number of co-authors affects the number of citations in research papers. There will be a correlation analysis between the number of co-authors and the number of citations for research articles, and we will observe how the number of co-authors affects the number of citations for publications. Citation data is gathered from databases such as DBLP, ACM, MAG (Microsoft Academic Graph), and others. There are 629,814 papers and 632,752 citations in the initial version. We use two methods to examine the impact of co-author count on the number of citations in a research paper: (i) Pearson’s correlation coefficient (PCC), and (ii) multiple regression (MR). To test the impact of co-author count on citation count of research publications, we calculate Pearson’s correlation coefficient (ra) between the two variables number of authors (NA) and citation count (CC). We also calculate Pearson’s correlation coefficient between the citation count (CC) and the most effective variables to compare between the impact of the number of authors and the impact of the other factors such as (i) rc between number of countries (NC) and citation count (CC). (ii) rv between venue category (VC) and citation count (CC). (iii) ry between Year_From (YF) and citation count (CC). Empirical evidence shows that co-authored publications achieve higher visibility and impact. To predict the number of citations from the previously mentioned factors (NA, NC, VC, and YF), we use multiple linear regression (MLR). The goal of multiple linear regression (MLR) is to model the linear relationship between the explanatory (independent) variables and response (dependent) variables. The higher R-square, the tight relationship exists between dependent variables and independent variables. It is observed that the R-square decreases in the case of removing NA which means that the NA is the most influential factor (the relation between NA and CC is the most powerful relation). The main originality of this paper is to introduce an effective prediction module (EPM) which uses probabilistic neural network (PNN) to predict the number of citations from the most effective factors (NA, NC, VC, and YF).

Global Research Trends in Revision Total Knee Arthroplasty: A Bibliometric and Visualized Study.

Revision total knee arthroplasty (TKA) is a longstanding area of research interest in orthopedics due to its increasing global demand and associated technical challenges. The present study aims to analyze and present the current state of research and trends in this active field. Articles on revision TKA published from inception to 2018 were retrieved from Web of Science. Bibliometric analysis was conducted using the metadata of the included articles. Visualized analysis was conducted using VOSviewer software to reveal global trends in revision TKA research, through analyses of bibliographic coupling, co-authorship, co-citation and co-occurrence. A total of 6027 articles were included. The number of publications and relative research interest in the field of revision TKA displayed strong upward growth over the time period examined. The USA had the highest number of citations for publications in this field, as well as the highest H-index. Studies in the field could be categorized into five clusters: prosthesis design, periprosthetic fracture, periprosthetic joint infection, risk factors for revision TKA, and survivorship of implants. Studies focused on infection and risk factors for revision TKA are likely to become the most popular research topics in the field. Global trends over the past few years suggest that the field of revision TKA research will continue to grow and lead to increasing rates of publication output over the coming years. Future developments in the field will likely include more preventative and etiological studies relating to revision TKA.

Quantifying research output on poverty and non-communicable disease behavioural risk factors in low-income and lower middle-income countries: a bibliometric analysis

ObjectivesLow-income and lower middle-income countries (LLMICs) bear a disproportionate burden of non-communicable diseases (NCDs). WHO has repeatedly called for more research on poverty and NCDs in these settings, but the...

An adjusted h-index: A new recipe to evaluate the researcher's productivity

Objectives: To present an equation that will solve some of the problems related to the utilization of h-index in researcher’s evaluation. Methods: Adjusted h-index TOTAL = (Ad h-index1) + (Ad h-index2) + (Ad h-index3) and so on till (Ad h-index N) (N = Number of last publication). (Ad h-index1: for the First (1) publication); (Ad h-index1) = (A1)*(B1)*(C1)/(D1); A1 = H –index of the journal where the publication (1) had been published; B1 = the number of citations for publication (1); C1 = {(number of authors +1) – (order of author)}/(number of authors for publication 1); D1 = 1 + current year-year of publication (1). Results: The obtained results enlightening the superiority of the new equation to furnish the appropriate recognition to a scientist. Conclusion: The proposed equation will solve many of the problems linked to the h-index.

Citation analysis of Canadian psycho-oncology and supportive care researchers

The purpose of this study was to conduct a historical review of psycho-oncology and supportive care research in Canada using citation analysis and to review the clinical impact of the research conducted by the most highly cited researchers. The lifetime journal publication records of 109 psycho-oncology and supportive care researchers in Canada were subject to citation analysis using the Scopus database, based on citations since 1996 of articles deemed relevant to psychosocial oncology and supportive care, excluding self-citations. Three primary types of analysis were performed for each individual: the number of citations for each journal publication, a summative citation count of all published articles, and the Scopus h-index. The top 20 psycho-oncology/supportive care researchers for each of five citation categories are presented: the number of citations for all publications; the number of citations for first-authored publications; the most highly cited first-authored publications; the Scopus h-index for all publications; and the Scopus h-index for first-authored publications. The three most highly cited Canadian psycho-oncology researchers are Dr. Kerry Courneya (University of Alberta), Dr. Lesley Degner, (University of Manitoba), and Dr. Harvey Chochinov (University of Manitoba). Citation analysis is useful for examining the research performance of psycho-oncology and supportive care researchers and identifying leaders among them.

Usefulness of Hirsch’s h-index to evaluate scientific research in Spain

Abstract The applicability of Hirsch’s h index (Hirsch, 2005) for evaluating scientific research in Spain has been investigated. A series of derivative indexes that take into account: i) the overall low scientific production in Spain before the’ 80s; ii) differences among areas due to size (overall number of citations for publications in a given area); and iii) the number of authors, are suggested. Their applicability has been tested for two different areas in the Biological Sciences. The proposed set of indexes accurately summarizes both the success and evolution of scientists’ careers in Spain, and it may be useful in the evaluation of other not well established national scientific research systems.