Kunal Banerjee

880 citations
45 papers · 306 indexed · h-index 9

Impact in

    • Embedded Systems Design Techniques
    • Parallel Computing and Optimization Techniques
  • Software top 10%
    • Software Testing and Debugging Techniques

Papers in

    • Embedded Systems Design Techniques 12
    • Parallel Computing and Optimization Techniques 9
    • Real-Time Systems Scheduling 3
    • Software Testing and Debugging Techniques 10

Kunal Banerjee

38 papers receiving 295 citations

Peers

Kunal Banerjee
Comparison fields: 5 of 57
  • Hardware and Architecture 107
  • Software 52
  • Radiological and Ultrasound Technology 69
  • Computational Mathematics 7
  • Computational Theory and Mathematics 71
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Citations per field
00.5×10×13.8×
Mani Chandy · 1×
Citations per year

Countries citing papers authored by Kunal Banerjee

Since Specialization
Citations

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

Fields of papers citing papers by Kunal Banerjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20230
4 20220
5 20221
6 20210
7 20194
8
Mixed Precision Training of Convolutional Neural Networks using Integer Operations
201815
9 20181
10 20180
11 20172
12 20163
13 20162
14 20161
15 20146
16 20135
17 20128
18 201113
19 20117
20 201060

About Kunal Banerjee

Kunal Banerjee is a scholar working on Hardware and Architecture, Software, Computational Mathematics, Computational Theory and Mathematics and Computer Vision and Pattern Recognition, having authored 45 papers that have together received 306 indexed citations. Recurring topics across this work include Formal Methods in Verification (13 papers), Embedded Systems Design Techniques (12 papers), Software Testing and Debugging Techniques (10 papers), Parallel Computing and Optimization Techniques (9 papers), Logic, programming, and type systems (4 papers), Advanced Neural Network Applications (4 papers), Cryptographic Implementations and Security (3 papers) and Real-Time Systems Scheduling (3 papers). The work is most often cited by research in Hardware and Architecture (107 citations), Software (52 citations), Radiological and Ultrasound Technology (69 citations), Computational Mathematics (7 citations) and Computational Theory and Mathematics (71 citations). Kunal Banerjee has collaborated with scholars based in India, United States and Switzerland. Frequent co-authors include Chittaranjan Mandal, Dipankar Sarkar, Chandan Karfa, Y. S. Mayya, J.J. Gaware, Bijay Kumar Sahoo, B.K. Sapra, H.S. Kushwaha, C.J. van Westen and Alexander Heinecke. Their work appears in journals such as IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Radiation Measurements, Information Sciences, Formal Aspects of Computing and ACM SIGPLAN Notices.

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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2026