Krishna Kumar

37 papers receiving 697 citations

Peers

Krishna Kumar
Comparison fields: 5 of 90
  • Signal Processing 355
  • Computational Mechanics 400
  • Computational Mathematics 3
  • Energy Engineering and Power Technology 13
  • Control and Systems Engineering 84
Replace Huawei Chen with:
Huawei Chen China
Ata Ur Rehman Pakistan
Santosh Kumar Behera India
Jinghu Yu China
S. Väliviita Finland
Jitong Ma China
Ravinder Venugopal United States
Gilberto Pin Italy
Mohammadreza Azimi Iran
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Citations per field
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Citations per year

Countries citing papers authored by Krishna Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Krishna Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202181
2 202173
3 201455
4 202049
5 202042
6 202241
7 202040
8 202039
9 202037
10 202134
11 202131
12 202123
13 202215
14 200413
15 202313
16 201913
17
Synthesis and characterization of polyaniline nano-fibers
201312
18 200311
19 198811
20 202410

About Krishna Kumar

Krishna Kumar is a scholar working on Computational Mechanics, Signal Processing, Civil and Structural Engineering, Mechanical Engineering and Electrical and Electronic Engineering, having authored 41 papers that have together received 706 indexed citations. Recurring topics across this work include Advanced Adaptive Filtering Techniques (14 papers), Speech and Audio Processing (13 papers), Blind Source Separation Techniques (12 papers), High-Velocity Impact and Material Behavior (5 papers), Structural Response to Dynamic Loads (4 papers), Advanced Battery Technologies Research (2 papers), Conducting polymers and applications (2 papers) and Advanced Sensor and Energy Harvesting Materials (2 papers). The work is most often cited by research in Signal Processing (355 citations), Computational Mechanics (400 citations), Computational Mathematics (3 citations), Energy Engineering and Power Technology (13 citations) and Control and Systems Engineering (84 citations). Krishna Kumar has collaborated with scholars based in India, United States and Malaysia. Frequent co-authors include Nithin V. George, Sankha Subhra Bhattacharjee, Rahul Kumar Verma, Puneet Mahajan, Sanjay Singh Bora, N. Tandon, B. Murali Manohar, T. Balakrishna Bhat, Satya Parida and A. Thangavelu. Their work appears in journals such as IEEE Transactions on Circuits & Systems II Express Briefs, Signal Processing, IEEE Signal Processing Letters, Applied Acoustics and Journal of Materials Engineering and Performance.

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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