K. S. Arikumar

479 citations
24 papers · 279 · h-index 9

Impact in

Papers in

K. S. Arikumar

21 papers receiving 258 citations

Peers

K. S. Arikumar
Comparison fields: 5 of 70
  • Health Informatics 14
  • Computer Networks and Communications 92
  • Artificial Intelligence 107
  • Computer Vision and Pattern Recognition 44
  • Automotive Engineering 25
Replace Y. C. A. Padmanabha Reddy with:
Y. C. A. Padmanabha Reddy India
Ashish Rauniyar Norway
Seifeddine Messaoud Tunisia
Shamim Ahmed Bangladesh
Pilar Pozos-Parra Mexico
Majed Alsafyani Saudi Arabia
Badraddin Alturki Saudi Arabia
Bhupesh Kumar Dewangan India
Hussain Falih Mahdi Iraq
T. Poongodi India
K. S. Arikumar relative to Y. C. A. Padmanabha Reddy India Y. C. A. Padmanabha Reddy's profile →
Citations per field
00.5×2.8×
Y. C. A. Padmanabha Reddy · 1×
Citations per year

Countries citing papers authored by K. S. Arikumar

Since Specialization
Citations

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

Fields of papers citing papers by K. S. Arikumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside K. S. Arikumar, 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 K. S. Arikumar Line = papers co-authored together K. S. Arikumar 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 2022102
2 202238
3 202228
4 202025
5 202310
6 202310
7 202210
8 20119
9 20238
10 20247
11 20176
12 20245
13 20244
14 20164
15 20243
16 20252
17 20172
18 20242
19 20251
20 20231

About K. S. Arikumar

K. S. Arikumar is a scholar working on Computer Networks and Communications, Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems and Electrical and Electronic Engineering, having authored 24 papers that have together received 279 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (3 papers), Blockchain Technology Applications and Security (3 papers), Privacy-Preserving Technologies in Data (3 papers), Advanced Authentication Protocols Security (2 papers), IoT-based Smart Home Systems (2 papers), Water Quality Monitoring Technologies (2 papers), Advanced Neural Network Applications (2 papers) and IoT and Edge/Fog Computing (2 papers). The work is most often cited by research in Health Informatics (14 citations), Computer Networks and Communications (92 citations), Artificial Intelligence (107 citations), Computer Vision and Pattern Recognition (44 citations) and Automotive Engineering (25 citations). K. S. Arikumar has collaborated with scholars based in India, China and Brazil. Frequent co-authors include Sahaya Beni Prathiba, Thippa Reddy Gadekallu, Sharnil Pandya, Mamoun Alazab, Javed Masood Khan, V. Natarajan, Suresh Chandra Satapathy, Gunasekaran Raja, Kapal Dev and Sudha Anbalagan. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, IEEE Access, Electronics, IEEE Transactions on Network Science and Engineering and Applied Sciences.

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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