Rajat Kumar Pal
- Artificial Intelligence top 5%
- Human-Computer Interaction top 10%
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- Advanced Graph Theory Research 11
- Hardware and Architecture top 10%
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- Electrowetting and Microfluidic Technologies 26
- VLSI and FPGA Design Techniques 20
- Photonic and Optical Devices 10
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- Interconnection Networks and Systems 17
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- Modular Robots and Swarm Intelligence 16
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- Microfluidic and Capillary Electrophoresis Applications 14
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- Gene Regulatory Network Analysis 13
- Co-authors
- Chiranjit ChangdarG. S. MahapatraDilip Kumar GayenJitendra Nath RoyAbhay Sankar ChakrabortiGoutam SahaT. KandaArnab Kumar Maji
- Partner nations
- IndiaUnited StatesCameroon
In The Last Decade
Rajat Kumar Pal
112 papers receiving 852 citations
Peers
Comparison fields: 5 of 124
- Industrial and Manufacturing Engineering 111
- Artificial Intelligence 240
- Human-Computer Interaction 34
- Computational Theory and Mathematics 94
- Hardware and Architecture 38
Countries citing papers authored by Rajat Kumar Pal
This map shows the geographic impact of Rajat Kumar Pal'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 Rajat Kumar Pal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rajat Kumar Pal more than expected).
Fields of papers citing papers by Rajat Kumar Pal
This network shows the impact of papers produced by Rajat Kumar Pal. 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 Rajat Kumar Pal. The network helps show where Rajat Kumar Pal may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rajat Kumar Pal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 20 | |
| 6 | 2023 | 4 | |
| 7 | 2022 | 2 | |
| 8 | 2021 | 3 | |
| 9 | 2021 | 1 | |
| 10 | 2020 | 3 | |
| 11 | 2018 | 4 | |
| 12 | 2018 | 3 | |
| 13 | 2016 | 1 | |
| 14 | 2016 | 0 | |
| 15 | 2016 | 0 | |
| 16 | 2014 | 57 | |
| 17 | All-optical binary coded decimal (BCD) adder | 2009 | 0 |
| 18 | A New Algorithm to Represent a Given k-ary Tree into Its Equivalent Binary Tree Structure | 2008 | 0 |
| 19 | Algorithms for Reducing Crosstalk in Two-Layer Channel Routing | 2006 | 3 |
| 20 | 2004 | 4 |
About Rajat Kumar Pal
Rajat Kumar Pal is a scholar working on Industrial and Manufacturing Engineering, Hardware and Architecture and Electrical and Electronic Engineering, having authored 141 papers that have together received 923 indexed citations. Recurring topics across this work include Electrowetting and Microfluidic Technologies (26 papers), VLSI and FPGA Design Techniques (20 papers), Interconnection Networks and Systems (17 papers), Modular Robots and Swarm Intelligence (16 papers), Microfluidic and Capillary Electrophoresis Applications (14 papers), Gene Regulatory Network Analysis (13 papers), Advanced Graph Theory Research (11 papers) and Photonic and Optical Devices (10 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (111 citations), Artificial Intelligence (240 citations) and Human-Computer Interaction (34 citations). Rajat Kumar Pal has collaborated with scholars based in India, United States and Cameroon. Frequent co-authors include Chiranjit Changdar, G. S. Mahapatra, Dilip Kumar Gayen, Jitendra Nath Roy, Abhay Sankar Chakraborti, Goutam Saha, T. Kanda, Arnab Kumar Maji, J. B. Kitzmiller and Sudip Mandal. Their work appears in journals such as PLoS ONE, Expert Systems with Applications and IEEE Access.
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.