M. Sunil Kumar

94 total papers · 1.1k total citations
44 papers, 523 citations indexed

About

M. Sunil Kumar is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, M. Sunil Kumar has authored 44 papers receiving a total of 523 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Networks and Communications, 10 papers in Information Systems and 10 papers in Artificial Intelligence. Recurrent topics in M. Sunil Kumar's work include IoT and Edge/Fog Computing (5 papers), Smart Agriculture and AI (5 papers) and AI in cancer detection (3 papers). M. Sunil Kumar is often cited by papers focused on IoT and Edge/Fog Computing (5 papers), Smart Agriculture and AI (5 papers) and AI in cancer detection (3 papers). M. Sunil Kumar collaborates with scholars based in India, Canada and Saudi Arabia. M. Sunil Kumar's co-authors include Yelena Glinka, Gérald J. Prud’homme, Rizwan Patan, Suresh Kallam, Nepton Soltani, Fadi Al‐Turjman, V. Natarajan, Wei‐Yang Lu, Yaoyu Zhang and Huansheng Dong and has published in prestigious journals such as Diabetologia, Gene Therapy and Multimedia Tools and Applications.

In The Last Decade

M. Sunil Kumar

29 papers receiving 464 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
M. Sunil Kumar 119 88 85 79 71 44 523
Yang‐Yi Chen 27 0.2× 223 2.5× 39 0.5× 51 0.6× 163 2.3× 30 613
Jingchao Wang 65 0.5× 92 1.0× 84 1.0× 52 0.7× 35 0.5× 51 487
Michele Bevilacqua 78 0.7× 82 0.9× 8 0.1× 25 0.3× 176 2.5× 44 617
Yuanyuan Liu 42 0.4× 213 2.4× 26 0.3× 38 0.5× 31 0.4× 36 574
Eunjung Ko 34 0.3× 166 1.9× 37 0.4× 38 0.5× 37 0.5× 53 603
Yameng Liu 33 0.3× 132 1.5× 107 1.3× 13 0.2× 33 0.5× 34 529
Yuqing Tian 15 0.1× 171 1.9× 34 0.4× 58 0.7× 99 1.4× 33 481
Ayesha Maqbool 23 0.2× 92 1.0× 11 0.1× 32 0.4× 51 0.7× 69 579
Yujie Cao 20 0.2× 172 2.0× 113 1.3× 84 1.1× 23 0.3× 32 619
Juan Antonio Navarro 55 0.5× 33 0.4× 18 0.2× 13 0.2× 68 1.0× 40 548

Countries citing papers authored by M. Sunil Kumar

Since Specialization
Citations

This map shows the geographic impact of M. Sunil Kumar'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 M. Sunil Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Sunil Kumar more than expected).

Fields of papers citing papers by M. Sunil Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Sunil Kumar. 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 M. Sunil Kumar. The network helps show where M. Sunil Kumar may publish in the future.

Co-authorship network of co-authors of M. Sunil Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of M. Sunil Kumar. A scholar is included among the top collaborators of M. Sunil Kumar 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 M. Sunil Kumar. M. Sunil Kumar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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