Strength Of Link Research Articles

JOB SATISFACTION: A BIBLIOMETRIC ANALYSIS

This study aims to conduct a bibliometric analysis of co-authorship, co-occurrence, and citation related to job satisfaction. The method used in this study involves selecting the keyword "job satisfaction" from ScienceDirect.com, resulting in a total of 30,839 filter records within the range of 2000-2023. After verification, 83 articles that met the criteria were obtained using VosViewer Journal application. The results revealed 70 clusters with the strongest link strength and total link, as well as keywords that are directly related to job satisfaction such as well-being, diversity, COVID-19, autonomy, stress, job fatigue, polynomial regression, and performance. The implications of this study are that it provides valuable insights into the factors and issues that affect job satisfaction, and these findings can be used to inform policies and practices that promote job satisfaction among employees.

Chemometric-empowered spectroscopic techniques in pharmaceutical fields: A bibliometric analysis and updated review

Undeniable increase in pharmaceutical demand has encouraged researchers to develop analytical techniques to analyze drugs and monitor their effects. Chemometrics enabled simple spectroscopic approaches (such as infrared or UV spectroscopy) to analyze complex samples, including drug formulations, excreted fluids and tissues of living organisms. The aim of this study was to evaluate the research trend of this combinatorial technique utilized for pharmaceutical-related sample analysis using a bibliometric analysis. Bibliometric data of published literature from the Scopus database on March 14, 2023 were retrieved using the keyword combinations of "multivariate", "chemometrics", "pattern recognition", "drug", "pharmaceutical" and "spectroscopy". Network visualization analysis was performed using VOSviewer on the co-occurring keywords and authorships, presenting data such as top cited papers (n=10). The literature review was performed based on the research trend revealed by the clusters that emerged in the network visualization. The analysis revealed that the first paper was published in 1973 (n=1) and a total of 3544 records have been published as of March 14, 2023, comprising original research articles (n=3144, 88.71%) and review articles (n=232, 6.55%). The keyword “chemometrics” with Total Link Strength (TLS) of 826 emerged as the most abundant, followed by “metabolomics” (TLS=388), “Raman spectroscopy” (TLS=280), “metabonomics” (TLS=272), “nuclear magnetic resonance” or “NMR” (TLS=271), and “multivariate analysis” (TLS=254). Network visualization revealed that the research falls into two general categories: (1) drug toxicity and efficacy monitoring and (2) quality control of drug manufacturing. The top cited paper (n=3269) was a review article published in 1999 describing the utility of nuclear magnetic resonance combined with multivariate statistics for metabolite profiling of biological samples. The chemometric-empowered spectroscopy techniques were expected to provide objective measurement during clinical studies and monitoring of therapeutic effects.

BIBLIOMETRIC REVIEW AND CO-CITATION ANALYSIS OF DOCUMENTS PUBLISHED IN THE DERIVATIVE MARKET: A STUDY BASED ON THE SCOPUS DATABASE

This article provides a bibliometric study of relevant papers on the derivative market. This study seeks to objectively evaluate research trends in the derivatives market by utilising bibliometric analysis. The direction for future study efforts has also been considered using the themes developed here. The data were collected from the Scopus database using specified search criteria. In-demand writers, publications, organizations, and nations were examined in this study of the derivatives market literature. This study also included co-citation analysis and co-occurrence of keyword analysis to provide a thorough understanding of the bibliographic pattern of literature in the derivative market. In this study,VOS Viewer and Microsoft Excel were used to assess co-authorship, co-occurrence, and citation patterns.The findings indicate that scientific study in this field has expanded quickly, especially after 2004. Fischer Black is the most prominent author in the derivatives market, according to Co-citation analysis, with 316 citations, 307 links, and 7652 total link strength. Other well-known authors in the area include Myron Scholes, Robert E. Whaley, and Doojin Ryu.

Detecting Narcissism From Older Adults' Daily Language Use: A Machine Learning Approach.

Narcissism has been associated with poorer quality social connections in late life, yet less is known about how narcissism is associated with older adults' daily social interactions. This study explored the associations between narcissism and older adults' language use throughout the day. Participants aged 65-89 (N = 281) wore electronically activated recorders which captured ambient sound for 30 s every 7 min across 5-6 days. Participants also completed the Narcissism Personality Inventory-16 scale. We used Linguistic Inquiry and Word Count to extract 81 linguistic features from sound snippets and applied a supervised machine learning algorithm (random forest) to evaluate the strength of links between narcissism and each linguistic feature. The random forest model showed that the top 5 linguistic categories that displayed the strongest associations with narcissism were first-person plural pronouns (e.g., we), words related to achievement (e.g., win, success), to work (e.g., hiring, office), to sex (e.g., erotic, condom), and that signal desired state (e.g., want, need). Narcissism may be demonstrated in everyday life via word use in conversation. More narcissistic individuals may have poorer quality social connections because their communication conveys an emphasis on self and achievement rather than affiliation or topics of interest to the other party.

Characteristics and evolution of knowledge innovation network in the Yangtze River Delta urban agglomeration--A case study of China National Knowledge Infrastructure.

With the development of economic globalization, urban agglomerations have become growth poles and core areas of economic development. By building knowledge innovation networks in urban agglomerations, we can effectively improve the strength of inter-city knowledge innovation links and better realize the integrated and synergistic development of the region. This study selected core cities in the Yangtze River Delta urban agglomeration as the study area, constructed the knowledge innovation network based on inter-city dissertation cooperation data from 2010 to 2020, and analyzed the characteristics and evolution of its knowledge network by combining social network analysis and geospatial analysis. The research results show that: (1) with changes in policies and investment in scientific research and innovation, intra-regional thesis cooperation in the Yangtze River Delta urban agglomeration has been increasing and the scale of the knowledge innovation cooperation network is growing; (2) in addition to the core cities radiating innovation resources outward to drive the development of other node cities, other cities are continuously improving their own innovation capabilities, taking the initiative to strengthen knowledge innovation cooperation with core cities and enhancing their own position in the network; (3) there are no longer isolated cities within the Yangtze River Delta urban agglomeration, and a multi-core knowledge network structure centered on Shanghai, Nanjing, Hangzhou, and Suzhou has initially formed, but the network is still spatially heterogeneous; (4) there are still problems within the Yangtze River Delta urban agglomeration such as uneven development of knowledge innovation and low participation of peripheral cities, which need to be addressed jointly by all regions. The article concludes with some suggestions for countermeasures to provide a reference for the Yangtze River Delta urban agglomeration to continuously strengthen intra-regional knowledge cooperation in the future, enhance regional competitiveness, and ultimately achieve synergistic development among cities.

A Bibliometric Study of Publications on Adoption of FinTech Using VOSviewer

More scholarly articles are being published as FinTech becomes more widely used. It is especially crucial to assess the quality of this large number of research articles and gather useful data. Thus, a bibliometric analysis of these articles may offer insight into current research trends and relevant themes. Globally existing literature about FinTech published between 2019 and 2022 was perused in the SCOPUS database. The articles’ bibliometric analysis was carried out using a VOSviewer. Of the 4,532 keywords, 463 met the threshold. The keywords that appeared most were “fintech” (total link strength 2,600), “blockchain” (total link strength 533), “financial inclusion” (total link strength 436), and “financial technology” (total link strength 325) which has a strong link with mobile banking, financial stability, and financial literacy. The present growth patterns indicate a significant rise in the number of international FinTech publications. Within this significant field, the United States produced the most noteworthy contribution.

FİZYOTERAPİ VE REHABİLİTASYONDA YAYINLANAN ÇİFT GÖREV ÇALIŞMALARININ BİBLİYOMETRİK ANALİZİ

OBJECTIVE: Dual-task is the ability to simultaneously perform two motor, behavioral, or cognitive tasks with different objectives at the same time. Most of daily life activities consist of dual-tasks. Dual-task training is commonly used in physiotherapy and rehabilitation. This study aimed to conduct a bibliometric analysis of dual-task studies in physiotherapy and rehabilitation to describe their progress and trends. MATERIAL AND METHODS: Data for bibliometric analysis were collected from the Web of Science. The topic search queries were TS=("dual-task" AND "physiotherapy" OR "dual task" AND "physiotherapy" OR "dual-task" AND “physical therapy” OR "dual task" AND "physical therapy"). RESULTS: As a result of the search, 98 publications were found. Mean number of citations for each publication was 27.29. The United States of America ranked first in terms of collaborative network (n=36) and publications (n=28). Nieuwboer (n=57) was the author who contributed the most to dual-task research (n=5). The keyword with the highest occurrence rate (OR) and total link strength (TLS) was “gait” (OR: 32, TLS: 75). The most commonly referred document among dual-task studies was the study of Folstein et al. (n=21). The document with the highest TLS was the study performed by Silsupadol et al. (n=22). CONCLUSIONS: It was observed that there are severe gaps in the literature in terms of dual-task studies in physiotherapy and rehabilitation. It is suggested that dual-task training should be diversified and applied in different populations.

The Studies on Chitosan for Sustainable Development: A Bibliometric Analysis.

Chitosan is a biocompatible polymer with vast applications in pharmacology, medicine, paper making, agriculture, and the food industry due to its low toxicity. Chitosan also plays an important role in the sustainable environment since chitosan is able to absorb greenhouse gases, harmful organic matter, and heavy ions. Therefore, this paper conducts a bibliometric analysis of chitosan for sustainable development using the Scopus database from 1976 to 2023. A performance analysis on the 8002 documents was performed with Harzing's Publish or Perish. Science mapping was conducted using VOSviewer. The annual publication on chitosan for sustainable development showed an upward trend in recent years as the annual publication peaked in 2022 with 1178 documents with most of the documents being articles and published in journals. Material science, chemistry, and engineering are tightly related subject areas. China had the highest publication of 1560 total documents while the United States had the most impactful publication with 55,019 total citations, 68.77 citations per document, 77.6 citations per cited document, h-index 110, and g-index of 211. India had the largest international collaboration with 572 total link strength. "International Journal of Biological Macromolecules", "Carbohydrate Polymers", and "Polymers" have been identified as the top three source titles that publish the most documents on chitosan for sustainable development. The emerging trends in chitosan on sustainable development focus on the application of chitosan as an antibacterial agent and biosorbent for contaminants, especially in water treatment.

Exploring the Dynamic Landscape of Performance Management: A Bibliometric Analysis of Emerging Trends

Abstract Performance management, as a systematic and continuous process of planning, measuring and improving performance, is an important endeavor for any organization, regardless of being private or public. To understand the current state of research on performance management, a comprehensive bibliometric study was conducted. This paper aims to provide a co-occurrence analysis to identify and explore clusters, prevailing and emerging themes, and future research directions. For this purpose data was collected from the WoS database and processed with VOSviewer and Microsoft Excel. The paper contains visual representations of clusters, keywords and their relationships, as well as an analysis of the novelty of the concepts. Based on the average published year (APY), the hottest keywords identified are Covid-19 (APY: 2021), followed by Industry 4.0 (APY: 2020.17), together with other 4IR tools (big data analytics, big data, machine learning, artificial intelligence, cloud, Iot, etc.). Resulting from the analysis of concepts with APY after 2017, in terms of their representativeness (occurrence), links, and total link strengths (TLS) with other items from the map, three concepts significantly emerged: framework (Cluster 1); public sector (Cluster 3); sustainability (Cluster 4). Based on the overall findings, new research directions were proposed.

Analisis Bibliometrik Tentang Qiraat Sab’ah Menggunakan VOSViewer Berbasis Data Google Scholar

This study aims to analyze and describe the publication of scientific articles with the research theme Qiraat Sab’ah." The Qiraat Sab’ah research analysis uses the VOSViewer through a bibliometric approach. Article references are obtained from databases with publication or perishability application support. The word 'Qiraat Sab’ah' becomes a reference in the research process. Found 42 articles considered relevant to this topic. The research period used in a document indexed by Google Scholar is the last 10 years (2012–2022). The search results focus on research and analysis of terms related to Qiraat Sab’ah and other data analysis. The keywords on 'Qiraat Sabah' are associated with 5 clusters and 149 links, resulting in a total link strength of 323. The results of the analysis of the development of Qiraat Sab’ah posts over the past 10 years as a whole are still fluctuating and even tend to be less desirable; the highest number of publications in 2021 is 14 articles, and at least in 2013, there were 0 articles. The researcher examines published articles on Qiraat Sab’ah and its relation to the issues using the VOSViewer. This study may be a starting point for research related to further research on Qiraat Sab’ah and further research developments on Ulumul Qur'an in the future.

Intellectualized Collection and Analysis of Multimedia Computer Teaching Based on the Fusion of Audio-visual Information

In the post-epidemic era, online classrooms and multimedia computers are increasingly connected. In order to efficiently conduct online teaching and answer questions after class, this paper intelligently collects and analyzes current multimedia computer teaching materials based on the latest audio-visual information fusion algorithm. First, the spatial frequency SF of the online classroom is selected as the input excitation of audio-visual information, and the direction information at the pixel is fixed as the link strength slice relationship of PCNN. Compared with traditional computer teaching, this method has many advantages. Multimedia electronic classrooms are very suitable for computer teaching, and the use of multimedia electronic classrooms can diversify the forms of computer teaching. Then, the source image is decomposed in a two-dimensional experience mode, and the obtained residual images are fused to complete the intelligent collection and analysis of the characteristics of teaching information; the function design is carried out under the framework of learning activities, and the functional upgrade of technical products requires the teaching and learning.

BIBLIOMETRIC ANALYSIS OF PUBLICATIONS ON GERMAN AS A FOREIGN LANGUAGE IN WOS EXAMPLE

In this study, publications on German as a foreign language in the Web of Science (WOS) database were analyzed by bibliometric method. The data obtained allowed to make a general case evaluation in the field of German as a foreign language. Accordingly, it was determined that the articles were prominent among the publications types on the related subject in the WOS database. German and English as the language of publication, America and Germany among the countries of publication, linguistics and educational sciences in terms of research areas, L.M. Kutch as the most productive author draw attention. The year with the highest number of publications is 2015, and the year with the highest number of citations is 2021. In addition, the article with the highest number of citations is G. Kasper's article entitled "Participant orientations in German conversation-for-learning" published in the “Modern Language journal” in 2004. Further, network maps were created by using the VOSviewer program to visualize bibliometric relationships in the study. In the clusters in the first of these maps, it was seen that “German as a foreign language”, “multilingualism”, “foreign language teaching”, “German”, “teaching German as a foreign language” were frequently repeated among the keywords of the publications selected as data. Following this, co-citation network map of the journals was created. Journals with the highest total link strength in the clusters of this map are “Modern Language Journal”, “Language Learning”, “Bilingualism: Language and Cognition”, “Language Testing”, “Foreign Language Annals” and “Deutsch als Fremdsprache”. Finally, it was understood that the authors with the highest total link strength in the clusters included in co-citation network map of authors are R. Ellis, Z. Dornyei, G. Neuner, C. Altmayer, T. Heift, K. Ehlich and N.C. Premawardhena.

A Bibliometric Analysis of Research Articles on Midwifery Based on the Web of Science.

This study aimed to bibliometrically analyse the main features of the 100 top-cited articles on the midwifery index on the Web of Science. Academic articles on midwifery' research published from 1985 to 2020 were included. VOSviewer 1.6.15, SPSS 22.0 software and a homemade applet were used to identify, analyse and visualise the citation ranking, publication year, journal, country and organisation of origin, authorship, journal impact factor and keywords along with the total link strength of countries, organisations and keywords. Among the 100 top-cited articles, the highest number of citations of the retrieved articles was 484. The median number of citations per year was 5.16 (interquartile range: 3.74-8.38). Almost two-thirds of the included articles (n = 61) centred on nursing and obstetrics/gynaecology. The top-cited articles were published in 38 different journals, the highest number of which was published by Midwifery (15%). Australia was the most productive country (24%). According to the total link strength, the sequence ran from the United States (28) to England (28) to Australia (19). The University of Technology Sydney and La Trobe University in Australia topped the list with four papers each. Hunter B was the most productive author (n = 4), and the average citations were positively related to the number of authors (r = 0.336, p < 0.05). This study identified the most influential articles on midwifery and documented the core journals and the most productive countries, organisations and authors along with future research hotspots for this field; the findings may be beneficial to researchers in their publication and scientific cooperation endeavours.

Food Insecurity and Dietary Deprivation: Migrant Households in Nairobi, Kenya.

The current study focuses on food consumption and dietary diversity among internal migrant households in Kenya using data from a city-wide household survey of Nairobi conducted in 2018. The paper examined whether migrant households are more likely to experience inferior diets, low dietary diversity, and increased dietary deprivation than their local counterparts. Second, it assesses whether some migrant households experience greater dietary deprivation than others. Third, it analyses whether rural-urban links play a role in boosting dietary diversity among migrant households. Length of stay in the city, the strength of rural-urban links, and food transfers do not show a significant relationship with greater dietary diversity. Better predictors of whether a household is able to escape dietary deprivation include education, employment, and household income. Food price increases also decrease dietary diversity as migrant households adjust their purchasing and consumption patterns. The analysis shows that food security and dietary diversity have a strong relationship with one another: food insecure households also experience the lowest levels of dietary diversity, and food secure households the highest.

A Bibliometric Analysis of Hybrid Maize Research using VOSviewer

Corn (Zea mays L.) is one of the most widely cultivated commodities in the world after rice. This study aims to (1) evaluate the most effective database available at Harzing's Publish or Perish software with a year-range search method and the use of additional keywords to obtain the highest number of manuscripts from journal sources relevant to maize hybrids in the field of plant science and agriculture and (2) assess the publication of articles and types of reviews on hybrid maize research related to plant science and agricultural by mapping and visualizing of bibliometric analysis. The data of bibliometric analysis was collected from PubMed, Google Scholar, Semantic Scholar, and CrossRef in Harzing's Publish or Perish software. The keyword used in this research was "hybrid maize" with the year of publication of the article 1962-2021. CrossRef has the highest number of total relevant manuscripts compared to the others. The search method for years is the most effective and efficient if the number of manuscripts is less than 1000. The topic of hybrid maize was mainly published in 2020. The journal that published the most on maize hybrid was Crop Science, especially from 1982- 2011. VOSviewer keyword analysis found that there were 5 clusters from 122 items, 1851 links, and total link strength of 5516. The topic of hybrid maize has been massively published since 2010. Apart from that, hybrid maize and gene were also the two most discussed topics.

Global research trends in palliative care for breast cancer from 2012 to 2022: A scientometric analysis.

We used bibliometric methods to evaluate the global scientific output of palliative care breast cancer research and to explore the current status and further research directions in the field over the past decade. All relevant publications from the year 2012 to 2022 were retrieved from Web of Science. We applied VOSviewer and Bibliometrix R v4.2.1 to obtain information on subject domains, annual publication output and citations, countries and authors with the highest productivity, influential journals and articles, and popular keywords. In total, 1529 publications were included in the final analysis. Health services and supportive care, pain and symptom management were the focus of the research in the field. From the year 2017 to 2021, the annual publication output was abundant and peaked in 2018. The systematic review by Fitzmaurice etal. in 2017 was the most-cited publication. The United States was the leading country with the maximum number of publications, citations, and link strengths with other countries. The most contributing institution was University of Toronto. E. Bruera was the most prolific author, ranking first among the authors in both the H and M index. The journal with the most publications was Palliative & Supportive Care. Keywords analysis indicated that exploring the significant degree of palliative care to reduce anxiety and depression in breast cancer patients may be a good research direction. In addition, how to assess the optimal timing of palliative care interventions and further exploring the specific contradiction between insufficient medical resources and palliative care are also possible research directions. Palliative care plays an important role in the treatment of breast cancer. With the help of a scientometric analysis in this field, researchers can clarify the current research status and hotspots worth fully exploring.

PCNN Model Guided by Saliency Mechanism for Image Fusion in Transform Domain.

In heterogeneous image fusion problems, different imaging mechanisms have always existed between time-of-flight and visible light heterogeneous images which are collected by binocular acquisition systems in orchard environments. Determining how to enhance the fusion quality is key to the solution. A shortcoming of the pulse coupled neural network model is that parameters are limited by manual experience settings and cannot be terminated adaptively. The limitations are obvious during the ignition process, and include ignoring the impact of image changes and fluctuations on the results, pixel artifacts, area blurring, and the occurrence of unclear edges. Aiming at these problems, an image fusion method in a pulse coupled neural network transform domain guided by a saliency mechanism is proposed. A non-subsampled shearlet transform is used to decompose the accurately registered image; the time-of-flight low-frequency component, after multiple lighting segmentation using a pulse coupled neural network, is simplified to a first-order Markov situation. The significance function is defined as first-order Markov mutual information to measure the termination condition. A new momentum-driven multi-objective artificial bee colony algorithm is used to optimize the parameters of the link channel feedback term, link strength, and dynamic threshold attenuation factor. The low-frequency components of time-of-flight and color images, after multiple lighting segmentation using a pulse coupled neural network, are fused using the weighted average rule. The high-frequency components are fused using improved bilateral filters. The results show that the proposed algorithm has the best fusion effect on the time-of-flight confidence image and the corresponding visible light image collected in the natural scene, according to nine objective image evaluation indicators. It is suitable for the heterogeneous image fusion of complex orchard environments in natural landscapes.

DEVELOPMENT OF A COMPUTER MODULE FOR KINEMATIC AND DYNAMIC ANALYSIS OF IMPORTANT MECHANISMS OF LIGHT INDUSTRIAL MACHINES, PROGRAMS FOR ASSESSING THE TENSION OF TECHNOLOGICAL PROCESSES

The development of a computer module for kinematic and dynamic analysis of the lever mechanisms of light industry machines allows determining the parameters that are used in the program to assess the intensity of technological processes of the light and textile industry when determining the change in the relative tension of the thread in the filling zones of the technological equipment. Kinematic and dynamic analysis of flat mechanisms plays a significant role in the design of new mechanisms and modernization of existing ones. The results obtained during these studies can be used to calculate the strength of individual links, their inertial characteristics, optimization of structural parameters of mechanisms, and minimization of consumed energy. A sharp increase in tension leads to a violation of the normal course of the technological process of thread processing. The imperfection of the structural elements of the feed system, thread tensioning devices and thread guides on knitting, textile and sewing machines will not allow thread processing with a sudden increase in input tension. The development of new schemes of the thread feeding system requires an operational assessment of the value of the tension in front of the working zone. To do this, it is effective to use specially developed programs for performing a computational experiment. The tension of the thread increases when moving through the refueling zones of the thread feeding system on the technological equipment. This increase is due to the interaction of the thread with the guides and tension devices. The maximum tension value will be in front of the working area. The development of special computer programs for determining the tension in the working area allows you to determine the necessary technological parameters, make adjustments to both the structure itself and the components of the thread feeding system to obtain the minimum necessary tension in the working area. The objective function in the problem is the minimum necessary tension, which is the minimum sum of the angles covered by the thread of guide surfaces that have a cylindrical, elliptical shape, discrete segments of a straight line. The use of a computer program allows you to determine tensions and changes in relative tension in the filling zones of light and textile industry machines, which allows you to optimize the shape of the thread supply line even at the stage of designing the technological process. The development of application packages of computer programs allows to reduce the time for the design of technological processes in the light and textile industry as much as possible. This is due to the modernization of the thread filling line on the technological equipment, which allows to minimize thread tension in the working area. Minimization of tension is ensured by optimization of the shape of the thread filling line, in which the total angle of coverage of the guides will be minimal. Computer determination of kinematic and dynamic parameters of flat mechanisms allows to determine the parameters used in determining the intensity of technological processes.

The Characteristics and the Influencing Factors of Rural Elders’ Social Networks: Evidence from China

Due to the immature formal care system, social networks have provided a new way to solve the support dilemma for Chinese rural elders. With few studies exploring social networks from a multi-dimensional perspective, this study aimed to comprehensively explore the characteristics and associated factors of rural elders’ social networks in China. Data were drawn from a national survey of 1126 rural elders in China. An Ordinary Least Squares linear regression model was used to analyze the factors associated with network size, network heterogeneity, and network strength (the weak link strength). The results showed that rural elders’ social networks in China presented the characteristics of a smaller size, a lower heterogeneity, and a weaker strength of “the weak link” (that is, the tendency to associate with external network members). Individual factors, family factors, and community factors, especially income, marital status, and number of children, were important influencing factors of characteristics of China’s rural elders’ social networks. These findings highlighted the importance of family, children, and formal support in rural China, offering implications for policy-making and service delivery. More attention should be paid to the relevant factors to enrich the social networks of rural elders and to ensure their happy lives in later years.

Efficient and Reliable Multihop Routing for IoT Healthcare Applications

A wireless body area network (WBAN) collects several tiny sensor nodes in the human body. They are intended to observe data constantly forward and perform as critical structures for remote healthcare monitoring and healing. These protect the preferred reliability and efficiency of data transmissions of individual body sensors. However, with the restricted sensor energy, unreliable link connection, and complex channel environment, the design of efficient routing in Multihop WBANs is demanding. This article, Efficient and Reliable Multihop Routing (ERMR) for IoT Healthcare Applications, is proposed. The main concept is to incorporate a fuzzy-logic system to handle multiple cross-layer input variables independently. This approach uses the fuzzy logic method to select the optimal route in the WBAN. The fuzzy input like sensor node distance, link strength, energy, and node quality of Service and produce the output is a reliable forwarder selection. Simulation results demonstrate the proposed approach increases the network throughput and minimizes the network delay in the WBAN.