Shireesh Kumar

788 citations
61 papers · 586 · h-index 15

Impact in

Papers in

    • Advanced Memory and Neural Computing 30
    • Advancements in Semiconductor Devices and Circuit Design 23
    • CCD and CMOS Imaging Sensors 11
    • Low-power high-performance VLSI design 10
    • Radio Frequency Integrated Circuit Design 8
    • Analog and Mixed-Signal Circuit Design 23

Shireesh Kumar

56 papers receiving 578 citations

Peers

Shireesh Kumar
Comparison fields: 5 of 33
  • Electrical and Electronic Engineering 492
  • Cellular and Molecular Neuroscience 132
  • Statistical and Nonlinear Physics 64
  • Artificial Intelligence 132
  • Biomedical Engineering 155
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Citations per field
00.5×4.6×
Shubha Ramakrishnan · 1×
Citations per year

Countries citing papers authored by Shireesh Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Shireesh Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202060
2 202158
3 202050
4 202034
5 202127
6 201520
7 202219
8 202118
9 202017
10 201517
11 202217
12 202316
13 201515
14 202114
15 202214
16 202113
17 20249
18 20229
19 20169
20 20248

About Shireesh Kumar

Shireesh Kumar is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Artificial Intelligence, Cellular and Molecular Neuroscience and Computer Vision and Pattern Recognition, having authored 61 papers that have together received 586 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (30 papers), Advancements in Semiconductor Devices and Circuit Design (23 papers), Analog and Mixed-Signal Circuit Design (23 papers), Neural Networks and Reservoir Computing (16 papers), CCD and CMOS Imaging Sensors (11 papers), Low-power high-performance VLSI design (10 papers), Radio Frequency Integrated Circuit Design (8 papers) and Neuroscience and Neural Engineering (7 papers). The work is most often cited by research in Electrical and Electronic Engineering (492 citations), Cellular and Molecular Neuroscience (132 citations), Statistical and Nonlinear Physics (64 citations), Artificial Intelligence (132 citations) and Biomedical Engineering (155 citations). Shireesh Kumar has collaborated with scholars based in India and Belgium. Frequent co-authors include Rishikesh Pandey, Maneesha Gupta, Bhawna Aggarwal, Navneet Sharma, Bharat Garg, Anshul Gupta, Aashish Kumar, Manoj Kumar, Akanksha Arora and Rupam Das. Their work appears in journals such as Wireless Personal Communications, Analog Integrated Circuits and Signal Processing, Optik, International Journal of Circuit Theory and Applications and Journal of Computational Electronics.

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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