Rahul Krishnan

843 citations
80 papers · 518 · h-index 13

Impact in

  • Software top 10%
    • Software Testing and Debugging Techniques
    • Software Reliability and Analysis Research
    • Antenna Design and Analysis

Papers in

Rahul Krishnan

66 papers receiving 483 citations

Peers

Rahul Krishnan
Comparison fields: 5 of 78
  • Software 39
  • Aerospace Engineering 149
  • Health Informatics 7
  • Artificial Intelligence 129
  • Radiation 31
Replace Fernanda Lima Kastensmidt with:
Fernanda Lima Kastensmidt Brazil
Frank Hannig Germany
Istvan Haller United Kingdom
Yu T. Su Taiwan
Adam W. Hall Canada
Rolf Kraemer Germany
Bowen Zheng China
Ruoyu Zhang China
Rahul Krishnan relative to Fernanda Lima Kastensmidt Brazil Fernanda Lima Kastensmidt's profile →
Citations per field
00.5×3.1×
Fernanda Lima Kastensmidt · 1×
Citations per year

Countries citing papers authored by Rahul Krishnan

Since Specialization
Citations

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

Fields of papers citing papers by Rahul Krishnan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199963
2 200739
3 199937
4 201835
5 202028
6 198623
7 201619
8 201017
9 201716
10 202014
11 198714
12 201913
13 201113
14 201410
15 202110
16 20219
17 20168
18 20218
19 19868
20 20198

About Rahul Krishnan

Rahul Krishnan is a scholar working on Electrical and Electronic Engineering, Aerospace Engineering, Biomedical Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 80 papers that have together received 518 indexed citations. Recurring topics across this work include Antenna Design and Analysis (18 papers), Wireless Body Area Networks (12 papers), Microwave Imaging and Scattering Analysis (11 papers), Microwave Engineering and Waveguides (9 papers), Advanced Antenna and Metasurface Technologies (7 papers), Vehicle License Plate Recognition (6 papers), Handwritten Text Recognition Techniques (6 papers) and Cryptography and Residue Arithmetic (6 papers). The work is most often cited by research in Software (39 citations), Aerospace Engineering (149 citations), Health Informatics (7 citations), Artificial Intelligence (129 citations) and Radiation (31 citations). Rahul Krishnan has collaborated with scholars based in India, United States and Canada. Frequent co-authors include Proma Bhattacharya, G. Sivakumar, G.A. Jullien, William C. Miller, P. H. Rao, S.D. Dhole, V.N. Bhoraskar, R. Ganesh Babu, C. A. Malarvizhi and O. Shanker. Their work appears in journals such as Applied Radiation and Isotopes, Annals of Nuclear Energy, Microwave and Optical Technology Letters, IEEE Transactions on Nuclear Science and Pattern Recognition.

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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