Sriram Chellappan

2.2k citations
108 papers · 1.4k · h-index 19

Impact in

Papers in

Sriram Chellappan

99 papers receiving 1.4k citations

Peers

Sriram Chellappan
Comparison fields: 5 of 133
  • Computer Networks and Communications 627
  • Signal Processing 127
  • Computer Vision and Pattern Recognition 223
  • Transportation 67
  • Applied Psychology 43
Replace Yan Wan with:
Yan Wan United States
Long Hu China
Constandinos X. Mavromoustakis Cyprus
Fazlullah Khan Pakistan
Aleksandr Ometov Finland
George Mastorakis Greece
Fakhri Karray Canada
Pascal Poupart Canada
Faisal Jamil South Korea
Lalit Garg Malta
Sriram Chellappan relative to Yan Wan United States Yan Wan's profile →
Citations per field
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Citations per year

Countries citing papers authored by Sriram Chellappan

Since Specialization
Citations

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

Fields of papers citing papers by Sriram Chellappan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sriram Chellappan, 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 Sriram Chellappan Line = papers co-authored together Sriram Chellappan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 108 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002150
2 201599
3 200784
4 201878
5 200776
6 201258
7 201849
8 202237
9 200536
10 200532
11 201131
12 200828
13 200828
14 201827
15 200825
16 202024
17 202022
18 200522
19 200819
20 201417

About Sriram Chellappan

Sriram Chellappan is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering and Information Systems, having authored 108 papers that have together received 1.4k indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (21 papers), Security in Wireless Sensor Networks (15 papers), Mobile Ad Hoc Networks (15 papers), Network Security and Intrusion Detection (15 papers), Internet Traffic Analysis and Secure E-voting (8 papers), Peer-to-Peer Network Technologies (7 papers), User Authentication and Security Systems (7 papers) and Indoor and Outdoor Localization Technologies (7 papers). The work is most often cited by research in Computer Networks and Communications (627 citations), Signal Processing (127 citations), Computer Vision and Pattern Recognition (223 citations), Transportation (67 citations) and Applied Psychology (43 citations). Sriram Chellappan has collaborated with scholars based in United States, Bangladesh and Canada. Frequent co-authors include Pratool Bharti, Ali Haghani, Dong Xuan, Xiaole Bai, Sajal K. Das, Debraj De, Wenjun Gu, Bin Ma, Wei Yu and Vamsi Paruchuri. Their work appears in journals such as IEEE Transactions on Parallel and Distributed Systems, Pervasive and Mobile Computing, IEEE Transactions on Mobile Computing, IEEE Journal of Biomedical and Health Informatics and Proceedings of the ACM on Human-Computer Interaction.

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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