K. Premkumar

441 citations
17 papers · 311 · h-index 5

Impact in

Papers in

K. Premkumar

16 papers receiving 296 citations

Peers

K. Premkumar
Comparison fields: 5 of 62
  • Industrial and Manufacturing Engineering 88
  • Oceanography 74
  • Atmospheric Science 58
  • Computer Networks and Communications 54
  • Global and Planetary Change 45
Replace Motoki Amagasaki with:
Motoki Amagasaki Japan
Jiwen Wang China
Alexey Nekrasov Russia
Mohammad Jahanbakht Iran
Enrico Ragaini Italy
Jiuyuan Huo China
Yuan Xie China
Lanxue Dang China
Emily M. Craparo United States
K. Premkumar relative to Motoki Amagasaki Japan Motoki Amagasaki's profile →
Citations per field
00.5×5×10×14.7×
Motoki Amagasaki · 1×
Citations per year

Countries citing papers authored by K. Premkumar

Since Specialization
Citations

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

Fields of papers citing papers by K. Premkumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside K. Premkumar, 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. Premkumar Line = papers co-authored together K. Premkumar links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2019160
2
First results from a new observational system over the Indian seas
200083
3 200833
4 202210
5 20125
6 20214
7 20144
8 20242
9 20242
10
CUSUM Based Distributed Detection in WSNs
20082
11 20211
12 20241
13 20251
14 20251
15 20221
16 20221
17 20250

About K. Premkumar

K. Premkumar is a scholar working on Computer Networks and Communications, Industrial and Manufacturing Engineering, Electrical and Electronic Engineering, Statistics, Probability and Uncertainty and Aerospace Engineering, having authored 17 papers that have together received 311 indexed citations. Recurring topics across this work include Distributed Sensor Networks and Detection Algorithms (3 papers), Energy Harvesting in Wireless Networks (3 papers), Advanced Wireless Network Optimization (3 papers), Antenna Design and Analysis (3 papers), Industrial Vision Systems and Defect Detection (3 papers), Advanced MIMO Systems Optimization (3 papers), Advanced Statistical Process Monitoring (2 papers) and Cognitive Radio Networks and Spectrum Sensing (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (88 citations), Oceanography (74 citations), Atmospheric Science (58 citations), Computer Networks and Communications (54 citations) and Global and Planetary Change (45 citations). K. Premkumar has collaborated with scholars based in India, Ireland and United States. Frequent co-authors include Sreekumar Muthuswamy, Debasis Sengupta, Sulochana Gadgil, Muthalagu Ravichandran, Vinod Sharma, Anurag Kumar, Joy Kuri, Douglas J. Leith, Machavaram Venkata Kartikeyan and Sreenath Reddy Thummaluru. Their work appears in journals such as IEEE Wireless Communications Letters, Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture, IEEE Transactions on Electromagnetic Compatibility, IEEE Transactions on Vehicular Technology and IEEE/ACM Transactions on Networking.

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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