Rajat Kumar Pal

1.6k total citations
141 papers, 923 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 923 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, Dilip Kumar Gayen, Jitendra Nath Roy, Abhay Sankar Chakraborti, Goutam Saha, T. Kanda, Arnab Kumar Maji, J. B. Kitzmiller 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 852 citations

Peers

Rajat Kumar Pal
Rajat Kumar Pal
Citations per year, relative to Rajat Kumar Pal Rajat Kumar Pal (= 1×) peers Kunyuan Hu

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

20 of 20 papers shown
1.
Pal, Rajat Kumar, et al.. (2025). Multilevel Digital Contact Tracing. Chaos Solitons & Fractals. 200. 116903–116903. 1 indexed citations
2.
Pal, Rajat Kumar, et al.. (2025). Advanced fault detection and localization in cross-referencing digital micro-fluidic biochips. Integration. 104. 102440–102440.
3.
Nandi, Utpal, et al.. (2024). aMacP: An adaptive optimization algorithm for Deep Neural Network. Neurocomputing. 620. 129242–129242.
5.
Roy, Utpal, et al.. (2023). Imbalanced ensemble learning in determining Parkinson’s disease using Keystroke dynamics. Expert Systems with Applications. 217. 119522–119522. 20 indexed citations
6.
Dey, Arindam, et al.. (2023). Computing with words for solving the fuzzy transportation problem. Soft Computing. 4 indexed citations
7.
Pal, Rajat Kumar, et al.. (2022). A 588 nW, 1 nA current reference circuit with extremely low (0.002%/V) line sensitivity over a wide supply voltage range and low temperature coefficient. International Journal of Numerical Modelling Electronic Networks Devices and Fields. 35(4). 2 indexed citations
8.
Pal, Rajat Kumar, et al.. (2021). Divide-and-conquer based all spanning tree generation algorithm of a simple connected graph. Theoretical Computer Science. 900. 35–52. 3 indexed citations
9.
Biswas, Sampa, et al.. (2021). A comparison of bacterial variability across biogeographic regions based on PGPR. International Journal of Environment Agriculture and Biotechnology. 6(6). 64–72. 1 indexed citations
10.
Chakraborty, Arpan, et al.. (2020). A Predictive Model for Fluid-Control Codesign of Paper-Based Digital Biochips Following a Machine Learning Approach. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 28(12). 2584–2597. 3 indexed citations
11.
Chakraborty, Arpan, et al.. (2018). A New Fluid-Chip Co-Design for Digital Microfluidic Biochips Considering Cost Drivers and Design Convergence. 4(4). 548–564. 4 indexed citations
12.
Saha, Goutam, et al.. (2018). An approach for reduction of false predictions in reverse engineering of gene regulatory networks. Journal of Theoretical Biology. 445. 9–30. 3 indexed citations
13.
Saha, Goutam, et al.. (2016). A Survey on Recurrent Neural Network Based Modelling of Gene Regulatory Network. 4(3). 1 indexed citations
14.
Pal, Rajat Kumar, et al.. (2016). A Re-router for Reducing Wire Length in Multi- Layer No-Dogleg Channel Routing. International Journal of Computer Trends and Technology. 38(2). 110–118.
16.
Das, Suvadra, et al.. (2014). Engineered Silybin Nanoparticles Educe Efficient Control in Experimental Diabetes. PLoS ONE. 9(7). e101818–e101818. 57 indexed citations
17.
Gayen, Dilip Kumar, Arunava Bhattacharyya, Rajat Kumar Pal, & Jitendra Nath Roy. (2009). All-optical binary coded decimal (BCD) adder. 1–4.
18.
Ghosh, Sumit, et al.. (2008). A New Algorithm to Represent a Given k-ary Tree into Its Equivalent Binary Tree Structure.
19.
Mandal, Tarak Nath, et al.. (2006). Algorithms for Reducing Crosstalk in Two-Layer Channel Routing. 3 indexed citations
20.
Mitra, Pralay, et al.. (2004). A graph theoretic approach to minimize total wire length in channel routing. 2. 414–418. 4 indexed citations

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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