S. Lokesh

111 total papers · 873 total citations
40 papers, 393 citations indexed

About

S. Lokesh is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, S. Lokesh has authored 40 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Electrical and Electronic Engineering, 8 papers in Computer Networks and Communications and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in S. Lokesh's work include Vehicular Ad Hoc Networks (VANETs) (5 papers), COVID-19 diagnosis using AI (4 papers) and IoT and Edge/Fog Computing (4 papers). S. Lokesh is often cited by papers focused on Vehicular Ad Hoc Networks (VANETs) (5 papers), COVID-19 diagnosis using AI (4 papers) and IoT and Edge/Fog Computing (4 papers). S. Lokesh collaborates with scholars based in India and Saudi Arabia. S. Lokesh's co-authors include R. Varatharajan, P. Parthasarathy, Gokulnath Chandra Babu, Priyan Malarvizhi Kumar, Aswathy Ravikumar, Rajesh Kumar, P. Chandrasekaran, Sudeshna Chakraborty, K. Murugan and Kumaravel Selvakumar and has published in prestigious journals such as Future Generation Computer Systems, Computer Networks and Journal of Medical Systems.

In The Last Decade

S. Lokesh

31 papers receiving 359 citations

Hit Papers

Cloud and IoT based disea... 2018 2026 2020 2023 2018 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
S. Lokesh 137 99 92 67 64 40 393
A. Harshavardhan 80 0.6× 76 0.8× 112 1.2× 64 1.0× 62 1.0× 33 391
Ketan Gupta 85 0.6× 71 0.7× 102 1.1× 90 1.3× 37 0.6× 41 430
K. Saikumar 115 0.8× 97 1.0× 80 0.9× 52 0.8× 66 1.0× 55 412
Qurat-ul-ain Mastoi 156 1.1× 121 1.2× 81 0.9× 48 0.7× 43 0.7× 24 343
Soonhyun Kwon 136 1.0× 48 0.5× 51 0.6× 49 0.7× 25 0.4× 29 343
Zhenfei Wang 84 0.6× 60 0.6× 123 1.3× 88 1.3× 62 1.0× 55 427
Sally M. Elghamrawy 132 1.0× 79 0.8× 165 1.8× 34 0.5× 41 0.6× 36 397
R. Prabha 100 0.7× 61 0.6× 72 0.8× 25 0.4× 79 1.2× 59 424
Sanggil Kang 64 0.5× 94 0.9× 148 1.6× 70 1.0× 78 1.2× 48 433
Richa Sharma 61 0.4× 71 0.7× 130 1.4× 198 3.0× 51 0.8× 42 440

Countries citing papers authored by S. Lokesh

Since Specialization
Citations

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

Fields of papers citing papers by S. Lokesh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Lokesh

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