J. V. Bibal Benifa

422 total citations
22 papers, 255 citations indexed

About

J. V. Bibal Benifa is a scholar working on Artificial Intelligence, Information Systems and Health Information Management. According to data from OpenAlex, J. V. Bibal Benifa has authored 22 papers receiving a total of 255 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 6 papers in Information Systems and 4 papers in Health Information Management. Recurrent topics in J. V. Bibal Benifa's work include Artificial Intelligence in Healthcare (4 papers), Spam and Phishing Detection (3 papers) and AI in cancer detection (3 papers). J. V. Bibal Benifa is often cited by papers focused on Artificial Intelligence in Healthcare (4 papers), Spam and Phishing Detection (3 papers) and AI in cancer detection (3 papers). J. V. Bibal Benifa collaborates with scholars based in India, South Korea and Saudi Arabia. J. V. Bibal Benifa's co-authors include Abdullah Y. Muaad, Channabasava Chola, Mugahed A. Al–antari, Md Belal Bin Heyat, Taha Alfakih, D. S. Guru, Amerah Alabrah, Nagwan Abdel Samee, Mufeed Ahmed Naji Saif and Hussain AlSalman and has published in prestigious journals such as Sensors, Mobile Networks and Applications and Wireless Personal Communications.

In The Last Decade

J. V. Bibal Benifa

20 papers receiving 240 citations

Peers

J. V. Bibal Benifa
Comparison fields: 5 of 73
  • Artificial Intelligence 129
  • Information Systems 103
  • Computer Networks and Communications 83
  • Computer Vision and Pattern Recognition 42
  • Radiology, Nuclear Medicine and Imaging 22
Replace Mohit Kumar with:
Mohit Kumar India
R. Satheesh Kumar India
Vivek Veeraiah India
M. Shamim Kaiser Bangladesh
Esfandiar Mohammadi Germany
Sajedul Talukder United States
Kranthi Kumar Singamaneni India
Mohammad Atique India
Shailesh Khapre India
Baiwu Zhang Canada
Mohit Kumar India View profile →
Citations per field, relative to J. V. Bibal Benifa
J. V. Bibal Benifa · 1×
Citations per year, relative to J. V. Bibal Benifa
J. V. Bibal Benifa · 1×

Countries citing papers authored by J. V. Bibal Benifa

Since Specialization
Citations

This map shows the geographic impact of J. V. Bibal Benifa's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by J. V. Bibal Benifa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. V. Bibal Benifa more than expected).

Fields of papers citing papers by J. V. Bibal Benifa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. V. Bibal Benifa. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by J. V. Bibal Benifa. The network helps show where J. V. Bibal Benifa may publish in the future.

Co-authorship network of co-authors of J. V. Bibal Benifa

This figure shows the co-authorship network connecting the top 25 collaborators of J. V. Bibal Benifa. A scholar is included among the top collaborators of J. V. Bibal Benifa based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J. V. Bibal Benifa. J. V. Bibal Benifa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 16
3 1
4 7
5 2
6 1
7 2
8 35
9 4
10 31
11 5
12 23
13 1
14 21
15 11
16 18
17 7
18 53
19 13
20 0

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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