Shireesh Kumar

739 citations
57 papers · 528 · h-index 13

Impact in

Papers in

    • Advanced Memory and Neural Computing 31
    • 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

53 papers receiving 516 citations

Peers

Shireesh Kumar
Comparison fields: 5 of 33
  • Electrical and Electronic Engineering 473
  • Cellular and Molecular Neuroscience 129
  • Statistical and Nonlinear Physics 60
  • Artificial Intelligence 129
  • Biomedical Engineering 152
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Citations per field
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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 10 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 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202156
2 202055
3 202044
4 202030
5 202125
6 201520
7 202219
8 202017
9 201517
10 202116
11 201515
12 202214
13 202213
14 202112
15 202312
16 202111
17 20169
18 20228
19 20247
20 20237

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 57 papers that have together received 528 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (31 papers), Analog and Mixed-Signal Circuit Design (23 papers), Advancements in Semiconductor Devices and 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 (8 papers). The work is most often cited by research in Electrical and Electronic Engineering (473 citations), Cellular and Molecular Neuroscience (129 citations), Statistical and Nonlinear Physics (60 citations), Artificial Intelligence (129 citations) and Biomedical Engineering (152 citations). Shireesh Kumar has collaborated with scholars based in India. Frequent co-authors include Rishikesh Pandey, Maneesha Gupta, Bhawna Aggarwal, Navneet Sharma, Bharat Garg, Aashish Kumar, Anshul Gupta, Akanksha Arora, Rupam Das and Satya P. Singh. Their work appears in journals such as Wireless Personal Communications, Analog Integrated Circuits and Signal Processing, International Journal of Circuit Theory and Applications, Journal of Computational Electronics and Optik.

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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