S. Manoj Kumar

474 citations
38 papers · 302 · h-index 11

Impact in

Papers in

S. Manoj Kumar

34 papers receiving 288 citations

Peers

S. Manoj Kumar
Comparison fields: 5 of 52
  • Computer Networks and Communications 150
  • Hardware and Architecture 24
  • Computer Vision and Pattern Recognition 65
  • Automotive Engineering 28
  • Signal Processing 23
Replace Lionel Nkenyereye with:
Lionel Nkenyereye South Korea
Anas Al-Roubaiey Saudi Arabia
Ahmad Khademzadeh Iran
Hwang Soo Lee South Korea
Phaklen Ehkan Malaysia
Zeqing Li China
Roberto Guizzetti France
Edgard Jamhour Brazil
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Citations per field
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Citations per year

Countries citing papers authored by S. Manoj Kumar

Since Specialization
Citations

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

Fields of papers citing papers by S. Manoj Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside S. Manoj Kumar, 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 S. Manoj Kumar Line = papers co-authored together S. Manoj Kumar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202235
2 200230
3 201729
4 201926
5 202223
6 202115
7 202213
8 202312
9 201310
10 201910
11 201310
12 201110
13 20139
14 20139
15 20217
16 20227
17 20146
18 20126
19 20235
20 20215

About S. Manoj Kumar

S. Manoj Kumar is a scholar working on Computer Networks and Communications, Artificial Intelligence, Electrical and Electronic Engineering, Information Systems and Computer Vision and Pattern Recognition, having authored 38 papers that have together received 302 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (9 papers), Security in Wireless Sensor Networks (9 papers), Advanced Steganography and Watermarking Techniques (4 papers), Chaos-based Image/Signal Encryption (4 papers), IoT and Edge/Fog Computing (3 papers), Internet Traffic Analysis and Secure E-voting (3 papers), IoT-based Smart Home Systems (3 papers) and Mobile Ad Hoc Networks (3 papers). The work is most often cited by research in Computer Networks and Communications (150 citations), Hardware and Architecture (24 citations), Computer Vision and Pattern Recognition (65 citations), Automotive Engineering (28 citations) and Signal Processing (23 citations). S. Manoj Kumar has collaborated with scholars based in India, United States and Malaysia. Frequent co-authors include Sajal K. Das, R. Biswas, Eric J. Carlson, Dylan C. Erb, Sanjay E. Sarma, M. Saravanan, Anirban Mitra, H. Roy, Joseph Conroy and Rajasekaran Thangaraj. Their work appears in journals such as Wireless Personal Communications, Neural Processing Letters, Journal of Energy Storage, Multimedia Tools and Applications and Transactions on Emerging Telecommunications Technologies.

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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