A Bibliometric Analysis on Performance Appraisal

Francis, Brenda Ranee; Ahmad, Rusli; Abdullah, Siti Mariam binti

doi:10.6007/ijarbss/v11-i9/11253

Cited by 4 publications

(5 citation statements)

References 18 publications

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“…The approaches for bibliometric investigation fall into two groups: performance analysis and science mapping. Science mapping places more emphasis on the connections between research aspects than performance analysis, which primarily examines the contributions of research components [ 76 ]. The approaches for analysis methods and scientific mapping, which are illustrated in Figure 12 .…”

Section: Bibliometric Analysis and Resultsmentioning

confidence: 99%

Apple Leave Disease Detection Using Collaborative ML/DL and Artificial Intelligence Methods: Scientometric Analysis

Bonkra

Bhatt

Rosak-Szyrocka

et al. 2023

IJERPH

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Infection in apple leaves is typically brought on by unanticipated weather conditions such as rain, hailstorms, draughts, and fog. As a direct consequence of this, the farmers suffer a significant loss of productivity. It is essential to be able to identify apple leaf diseases in advance in order to prevent the occurrence of this disease and minimise losses to productivity caused by it. The research offers a bibliometric analysis of the effectiveness of artificial intelligence in diagnosing diseases affecting apple leaves. The study provides a bibliometric evaluation of apple leaf disease detection using artificial intelligence. Through an analysis of broad current developments, publication and citation structures, ownership and cooperation patterns, bibliographic coupling, productivity patterns, and other characteristics, this scientometric study seeks to discover apple diseases. Nevertheless, numerous exploratory, conceptual, and empirical studies have concentrated on the identification of apple illnesses. However, given that disease detection is not confined to a single field of study, there have been very few attempts to create an extensive science map of transdisciplinary studies. In bibliometric assessments, it is important to take into account the growing amount of research on this subject. The study synthesises knowledge structures to determine the trend in the research topic. A scientometric analysis was performed on a sample of 214 documents in the subject of identifying apple leaf disease using a scientific search technique on the Scopus database for the years 2011–2022. In order to conduct the study, the Bibliometrix suite’s VOSviewer and the web-based Biblioshiny software were also utilised. Important journals, authors, nations, articles, and subjects were chosen using the automated workflow of the software. Furthermore, citation and co-citation checks were performed along with social network analysis. In addition to the intellectual and social organisation of the meadow, this investigation reveals the conceptual structure of the area. It contributes to the body of literature by giving academics and practitioners a strong conceptual framework on which to base their search for solutions and by making perceptive recommendations for potential future research areas.

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Section: Bibliometric Analysis and Resultsmentioning

confidence: 99%

Apple Leave Disease Detection Using Collaborative ML/DL and Artificial Intelligence Methods: Scientometric Analysis

Bonkra

Bhatt

Rosak-Szyrocka

et al. 2023

IJERPH

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“…This simply shows that density maps are based on a data network linked to co-written objects and the accuracy of each point in the article was determined using natural colors such as blue, green, and yellow. The greater number of elements around the point and the weight of the neighboring features were determined based on the closeness of the dot color to gold (Francis et al, 2021).…”

Section: Resultsmentioning

confidence: 99%

Bibliometric: Social Media Marketing and Adoption in Indonesia

Sary

Hudayah

Abidin

et al. 2022

jss

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This study conducts a bibliometric analysis of social media marketing and adoption in tourism development by reviewing previous studies in the world and Indonesia published in the Scopus database. The data obtained were analyzed using a quantitative approach to provide a representative picture in line with the practicality of bibliometric analysis in assessing the output, organization, authorship, and characteristics of topics. The focus was placed on the articles published between 2012 and 2021 and the findings showed an increasing interest in the studies related to social media marketing and social media adoption as well as an evolution of related academic research.

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“…(Bahoo, 2020;Bretas & Alon, 2021;Rosalinda et al, 2022). (Akbari et al, 2020;Francis et al, 2021;Rosalinda et al, 2022), so that it can be our consideration to develop related topics .…”

Section: Visualization Of Inquiry Research Trends Based On Vosviewer ...mentioning

confidence: 99%

“…Bibliometrics is a branch of information science commonly used in the library field to find out in detail the year of publication, citations, and images and graphics in the text of the article (Akbari et al, 2020;Bahoo, 2020;Francis et al, 2021). Bibliometrics is widely used to study the interaction between science and technology; investigate the development of new knowledge in a particular field; and produce mapping of fields of science (Bretas & Alon, 2021;Hudha et al, 2020;Li et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Inquiry research trends through bibliometric analysis (2020-2023)

Lismaya,

Wiyanto,

Ridlo

2024

Biosfer

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This article aims to analyze the trend of Inquiry research through bibliometrics in the Google schoolar database from 2020 to 2023. The article consists of a total of 993 articles, then sorted into 788 suitable articles and analyzed. The method used in this research is article analysis using bibliometrics with the following stages: keyword search, initial search results, refining search results, compiling initial data, and data analysis. The results show that publications in scientific articles regarding Inquiry vary every year. Then, the description in Education research trends produces seven clusters, namely science process skills, science teacher, argument driven inquiry, framework, experience, critical thinking skills, and senior high school. The findings of this study are expected to help other researchers who are interested in studying and researching related to Inquiry research trends and recommend directions for further research

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A Bibliometric Analysis on Performance Appraisal

Cited by 4 publications

References 18 publications

Apple Leave Disease Detection Using Collaborative ML/DL and Artificial Intelligence Methods: Scientometric Analysis

Apple Leave Disease Detection Using Collaborative ML/DL and Artificial Intelligence Methods: Scientometric Analysis

Bibliometric: Social Media Marketing and Adoption in Indonesia

Inquiry research trends through bibliometric analysis (2020-2023)

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