Ramesh Sekaran

414 citations
24 papers · 272 · h-index 10

Impact in

Papers in

Ramesh Sekaran

21 papers receiving 255 citations

Peers

Ramesh Sekaran
Comparison fields: 5 of 59
  • Computer Networks and Communications 154
  • Health Informatics 4
  • Health Information Management 13
  • Information Systems 42
  • Artificial Intelligence 54
Replace Koyel Datta Gupta with:
Koyel Datta Gupta India
Shaila Afrin Bangladesh
Jyrki Huusko Finland
R Santhakumar India
Mario Sanz Spain
Rashi Kohli India
Shaofeng Cai China
Raghubir Singh United Kingdom
C. Balasubramanian India
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Citations per field
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Citations per year

Countries citing papers authored by Ramesh Sekaran

Since Specialization
Citations

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

Fields of papers citing papers by Ramesh Sekaran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Ramesh Sekaran, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ramesh Sekaran Line = papers co-authored together Ramesh Sekaran links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202073
2 202071
3 202118
4 202018
5 202314
6 202213
7 202110
8 20149
9 20229
10 20149
11 20218
12 20226
13 20233
14 20222
15 20232
16 20232
17 20251
18 20221
19 20211
20 20241

About Ramesh Sekaran

Ramesh Sekaran is a scholar working on Computer Networks and Communications, Artificial Intelligence, Electrical and Electronic Engineering, Radiology, Nuclear Medicine and Imaging and Information Systems, having authored 24 papers that have together received 272 indexed citations. Recurring topics across this work include Mobile Ad Hoc Networks (6 papers), IoT and Edge/Fog Computing (4 papers), Energy Efficient Wireless Sensor Networks (4 papers), Advanced MIMO Systems Optimization (3 papers), Opportunistic and Delay-Tolerant Networks (3 papers), COVID-19 diagnosis using AI (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Security in Wireless Sensor Networks (2 papers). The work is most often cited by research in Computer Networks and Communications (154 citations), Health Informatics (4 citations), Health Information Management (13 citations), Information Systems (42 citations) and Artificial Intelligence (54 citations). Ramesh Sekaran has collaborated with scholars based in India, Saudi Arabia and Cyprus. Frequent co-authors include Rizwan Patan, Deepak Gupta, Jafar A. Alzubi, G S Pradeep Ghantasala, R. Manikandan, Vinayakumar Ravi, Fadi Al‐Turjman, L. Jani Anbarasi, Suresh Kallam and Malathy Jawahar. Their work appears in journals such as ACM Transactions on Internet Technology, Wireless Communications and Mobile Computing, Multimedia Tools and Applications, Computer Networks and Sustainability.

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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