Rajat Kumar Pal

258 total papers · 1.6k total citations
141 papers, 918 citations indexed

About

Rajat Kumar Pal is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Rajat Kumar Pal has authored 141 papers receiving a total of 918 indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Electrical and Electronic Engineering, 30 papers in Artificial Intelligence and 29 papers in Biomedical Engineering. Recurrent topics in Rajat Kumar Pal's work include Electrowetting and Microfluidic Technologies (26 papers), VLSI and FPGA Design Techniques (20 papers) and Interconnection Networks and Systems (17 papers). Rajat Kumar Pal is often cited by papers focused on Electrowetting and Microfluidic Technologies (26 papers), VLSI and FPGA Design Techniques (20 papers) and Interconnection Networks and Systems (17 papers). Rajat Kumar Pal collaborates with scholars based in India, United States and Cameroon. Rajat Kumar Pal's co-authors include Chiranjit Changdar, G. S. Mahapatra, Jitendra Nath Roy, Dilip Kumar Gayen, Goutam Saha, Abhay Sankar Chakraborti, J. B. Kitzmiller, T. Kanda, Arnab Kumar Maji and Sudip Mandal and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and IEEE Access.

In The Last Decade

Rajat Kumar Pal

112 papers receiving 848 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Rajat Kumar Pal 287 239 112 111 110 141 918
Junfeng Chen 168 0.6× 451 1.9× 158 1.4× 56 0.5× 64 0.6× 88 991
Weidong Yang 222 0.8× 180 0.8× 193 1.7× 96 0.9× 182 1.7× 107 959
Salim Chıkhı 175 0.6× 346 1.4× 239 2.1× 117 1.1× 61 0.6× 92 889
Yang Wang 125 0.4× 289 1.2× 102 0.9× 179 1.6× 146 1.3× 41 847
Gaganpreet Kaur 160 0.6× 336 1.4× 95 0.8× 34 0.3× 67 0.6× 93 1.0k
Juan M. Sánchez‐Pérez 217 0.8× 281 1.2× 202 1.8× 89 0.8× 33 0.3× 78 816
Gang Chen 183 0.6× 264 1.1× 62 0.6× 27 0.2× 128 1.2× 104 1.0k
Salvatore Cavalieri 155 0.5× 139 0.6× 271 2.4× 402 3.6× 48 0.4× 114 1.1k
Hong Xie 146 0.5× 274 1.1× 222 2.0× 59 0.5× 75 0.7× 125 1.1k
Che‐Lun Hung 77 0.3× 142 0.6× 92 0.8× 58 0.5× 55 0.5× 81 851

Countries citing papers authored by Rajat Kumar Pal

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Rajat Kumar Pal

This figure shows the co-authorship network connecting the top 25 collaborators of Rajat Kumar Pal. A scholar is included among the top collaborators of Rajat Kumar Pal based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rajat Kumar Pal. Rajat Kumar Pal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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