Debapriya Chatterjee

402 citations
22 papers · 291 · h-index 8

Impact in

Papers in

Debapriya Chatterjee

20 papers receiving 282 citations

Peers

Debapriya Chatterjee
Comparison fields: 5 of 32
  • Hardware and Architecture 259
  • Management Science and Operations Research 55
  • Software 15
  • Computer Networks and Communications 81
  • Electrical and Electronic Engineering 152
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Countries citing papers authored by Debapriya Chatterjee

Since Specialization
Citations

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

Fields of papers citing papers by Debapriya Chatterjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Debapriya Chatterjee, 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 Debapriya Chatterjee Line = papers co-authored together Debapriya Chatterjee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200980
2 200942
3 201136
4 201135
5 201227
6 201119
7 20128
8 20128
9 20106
10 20135
11 20234
12 20084
13
Approximating Checkers for Simulation Acceleration
20133
14 20113
15 20133
16 20092
17 20242
18 20142
19 20141
20 20221

About Debapriya Chatterjee

Debapriya Chatterjee is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering, Computational Theory and Mathematics, Management Science and Operations Research and Control and Systems Engineering, having authored 22 papers that have together received 291 indexed citations. Recurring topics across this work include Embedded Systems Design Techniques (7 papers), Parallel Computing and Optimization Techniques (7 papers), Radiation Effects in Electronics (7 papers), VLSI and Analog Circuit Testing (6 papers), Formal Methods in Verification (6 papers), Simulation Techniques and Applications (5 papers), Semiconductor materials and devices (4 papers) and Real-time simulation and control systems (3 papers). The work is most often cited by research in Hardware and Architecture (259 citations), Management Science and Operations Research (55 citations), Software (15 citations), Computer Networks and Communications (81 citations) and Electrical and Electronic Engineering (152 citations). Debapriya Chatterjee has collaborated with scholars based in United States, Italy and Israel. Frequent co-authors include Valeria Bertacco, Andrew DeOrio, Sara Vinco, Franco Fummi, Nicola Bombieri, Avi Ziv, Amir Nahir, Shaunak Chatterjee, Chang-Hong Hsu and B. Kartikeyan. Their work appears in journals such as International Journal of Remote Sensing, ACM Transactions on Design Automation of Electronic Systems, Indian Journal of Ophthalmology, Design, Automation, and Test in Europe and International Conference on Computer Aided Design.

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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