C. Senthilkumar

750 citations
56 papers · 461 · h-index 12

Impact in

Papers in

C. Senthilkumar

44 papers receiving 428 citations

Peers

C. Senthilkumar
Comparison fields: 5 of 90
  • Computer Networks and Communications 129
  • Computer Vision and Pattern Recognition 82
  • Media Technology 30
  • Analytical Chemistry 25
  • Industrial and Manufacturing Engineering 25
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Citations per year

Countries citing papers authored by C. Senthilkumar

Since Specialization
Citations

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

Fields of papers citing papers by C. Senthilkumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202143
2 202143
3 202342
4 201639
5 202335
6 202130
7 202128
8 202225
9 202315
10 201914
11 202013
12 202212
13 202211
14 202210
15 202010
16 20197
17
An Effective Citrus Disease Detection And Classification Using Deep Learning Based Inception Resnet V2 Model
20216
18 20246
19 20176
20 20245

About C. Senthilkumar

C. Senthilkumar is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Computer Vision and Pattern Recognition, Mechanical Engineering and Plant Science, having authored 56 papers that have together received 461 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (13 papers), IoT-based Smart Home Systems (9 papers), Mobile Ad Hoc Networks (9 papers), Advanced Machining and Optimization Techniques (6 papers), Smart Agriculture and AI (6 papers), Spectroscopy and Chemometric Analyses (4 papers), IoT Networks and Protocols (4 papers) and Energy Harvesting in Wireless Networks (4 papers). The work is most often cited by research in Computer Networks and Communications (129 citations), Computer Vision and Pattern Recognition (82 citations), Media Technology (30 citations), Analytical Chemistry (25 citations) and Industrial and Manufacturing Engineering (25 citations). C. Senthilkumar has collaborated with scholars based in India, Thailand and Pakistan. Frequent co-authors include G. Ramkumar, G Anitha, M. Ayyadurai, Suresh Kumar Muthuvel, S. Navaneethan, D. Hemanand, Justin Patton, Yibo Lyu, T. Roppel and Jian Zhang. Their work appears in journals such as International Journal of Machining and Machinability of Materials, Wireless Communications and Mobile Computing, Canadian Metallurgical Quarterly, Big Data Mining and Analytics and Journal of Adhesion Science and Technology.

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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