Revathi Sundarasekar

18 total papers · 1.7k total citations
9 papers, 769 citations indexed

About

Revathi Sundarasekar is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Revathi Sundarasekar has authored 9 papers receiving a total of 769 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Networks and Communications, 3 papers in Information Systems and 3 papers in Artificial Intelligence. Recurrent topics in Revathi Sundarasekar's work include IoT and Edge/Fog Computing (4 papers), Artificial Intelligence in Healthcare (1 paper) and Data Stream Mining Techniques (1 paper). Revathi Sundarasekar is often cited by papers focused on IoT and Edge/Fog Computing (4 papers), Artificial Intelligence in Healthcare (1 paper) and Data Stream Mining Techniques (1 paper). Revathi Sundarasekar collaborates with scholars based in India, United States and Taiwan. Revathi Sundarasekar's co-authors include Gunasekaran Manogaran, R. Varatharajan, Priyan Malarvizhi Kumar, Chandu Thota, Daphne Lopez, Ching‐Hsien Hsu, V. Vijayakumar, BalaAnand Muthu, C. B. Sivaparthipan and A. Shanthini and has published in prestigious journals such as Future Generation Computer Systems, Journal of Medical Systems and Personal and Ubiquitous Computing.

In The Last Decade

Revathi Sundarasekar

9 papers receiving 730 citations

Hit Papers

A new architecture of Int... 2017 2026 2020 2023 2017 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Revathi Sundarasekar 301 192 190 131 121 9 769
A. H. Mohsin 190 0.6× 140 0.7× 258 1.4× 196 1.5× 66 0.5× 14 761
Omar Hussein Salman 205 0.7× 105 0.5× 108 0.6× 124 0.9× 152 1.3× 23 704
Prabal Verma 457 1.5× 153 0.8× 261 1.4× 165 1.3× 115 1.0× 23 831
Revathi Sundarasekar 242 0.8× 217 1.1× 202 1.1× 137 1.0× 34 0.3× 8 803
Nicholas Constant 436 1.4× 89 0.5× 210 1.1× 163 1.2× 53 0.4× 13 815
J. Uthayakumar 229 0.8× 306 1.6× 122 0.6× 186 1.4× 123 1.0× 23 839
Mohamed Abdulnabi 162 0.5× 95 0.5× 202 1.1× 112 0.9× 79 0.7× 14 645
Gokulnath Chandra Babu 213 0.7× 292 1.5× 165 0.9× 173 1.3× 179 1.5× 27 825
Alex Page 348 1.2× 127 0.7× 155 0.8× 164 1.3× 63 0.5× 19 760
Muhammad Saleem 213 0.7× 243 1.3× 205 1.1× 132 1.0× 93 0.8× 36 880

Countries citing papers authored by Revathi Sundarasekar

Since Specialization
Citations

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

Fields of papers citing papers by Revathi Sundarasekar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Revathi Sundarasekar. 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 Revathi Sundarasekar. The network helps show where Revathi Sundarasekar may publish in the future.

Co-authorship network of co-authors of Revathi Sundarasekar

This figure shows the co-authorship network connecting the top 25 collaborators of Revathi Sundarasekar. A scholar is included among the top collaborators of Revathi Sundarasekar 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 Revathi Sundarasekar. Revathi Sundarasekar 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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