Jeevan Kanesan

84 papers receiving 1.3k citations

Peers

Jeevan Kanesan
Comparison fields: 5 of 113
  • Health Information Management 74
  • Computational Mechanics 264
  • Artificial Intelligence 321
  • Mechanical Engineering 317
  • Computer Vision and Pattern Recognition 152
Replace Muhammad Nomani Kabir with:
Muhammad Nomani Kabir Malaysia
Chee Khiang Pang Singapore
Ehab Mahmoud Mohamed Egypt
Mohammed Alswaitti Malaysia
Hani Alquhayz Saudi Arabia
Gang Hu China
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Citations per field
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Citations per year

Countries citing papers authored by Jeevan Kanesan

Since Specialization
Citations

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

Fields of papers citing papers by Jeevan Kanesan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202383
2 201182
3 201279
4 201878
5 201875
6 200970
7 201164
8 201660
9 202250
10 201750
11 202341
12 201841
13 202240
14 201332
15 200531
16 201530
17 202229
18 201725
19 201824
20 200223

About Jeevan Kanesan

Jeevan Kanesan is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Mechanical Engineering, Computer Vision and Pattern Recognition and Biomedical Engineering, having authored 90 papers that have together received 1.4k indexed citations. Recurring topics across this work include Radio Frequency Integrated Circuit Design (13 papers), Heat Transfer and Optimization (11 papers), Advanced Neural Network Applications (8 papers), Advanced Power Amplifier Design (8 papers), VLSI and FPGA Design Techniques (7 papers), Electric Power System Optimization (6 papers), Advanced Battery Technologies Research (6 papers) and Advanced Multi-Objective Optimization Algorithms (6 papers). The work is most often cited by research in Health Information Management (74 citations), Computational Mechanics (264 citations), Artificial Intelligence (321 citations), Mechanical Engineering (317 citations) and Computer Vision and Pattern Recognition (152 citations). Jeevan Kanesan has collaborated with scholars based in Malaysia, India and United States. Frequent co-authors include Joon Huang Chuah, Irfan Anjum Badruddin, N.J. Salman Ahmed, Chee‐Onn Chow, Harikrishnan Ramiah, Z.A. Zainal, Graham Kendall, Sarfaraz Kamangar, Abdullah A.A.A. Al‐Rashed and H. M. T. Khaleed. Their work appears in journals such as IEEE Access, Applied Soft Computing, International Journal of Heat and Mass Transfer, IEEE Transactions on Intelligent Transportation Systems and Engineering Applications of Artificial Intelligence.

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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