Sujay Deb

98 papers receiving 1.5k citations

Peers

Sujay Deb
Comparison fields: 5 of 64
  • Hardware and Architecture 519
  • Computer Networks and Communications 1.1k
  • Electrical and Electronic Engineering 835
  • Electronic, Optical and Magnetic Materials 231
  • Biomedical Engineering 247
Replace Igor Loi with:
Igor Loi Italy
G. Torelli Italy
David Fick United States
Nitin Borkar United States
Tony Tae-Hyoung Kim Singapore
J. van Meerbergen Netherlands
Alyssa Apsel United States
Amlan Ganguly United States
Kiichi Niitsu Japan
David Blaauw United States
Sujay Deb relative to Igor Loi Italy Igor Loi's profile →
Citations per field
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Citations per year

Countries citing papers authored by Sujay Deb

Since Specialization
Citations

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

Fields of papers citing papers by Sujay Deb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 106 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012231
2 2010226
3 2012163
4 201294
5 201074
6 201652
7 201137
8 201632
9 201230
10 201629
11 201426
12 201422
13 202120
14 201620
15 201719
16 201418
17 201617
18 201417
19 201815
20 201215

About Sujay Deb

Sujay Deb is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Hardware and Architecture, Biomedical Engineering and Cardiology and Cardiovascular Medicine, having authored 106 papers that have together received 1.6k indexed citations. Recurring topics across this work include Interconnection Networks and Systems (55 papers), Parallel Computing and Optimization Techniques (19 papers), Low-power high-performance VLSI design (15 papers), Advanced Memory and Neural Computing (13 papers), Analog and Mixed-Signal Circuit Design (12 papers), Supercapacitor Materials and Fabrication (12 papers), Embedded Systems Design Techniques (11 papers) and Graphene research and applications (11 papers). The work is most often cited by research in Hardware and Architecture (519 citations), Computer Networks and Communications (1.1k citations), Electrical and Electronic Engineering (835 citations), Electronic, Optical and Magnetic Materials (231 citations) and Biomedical Engineering (247 citations). Sujay Deb has collaborated with scholars based in India, United States and Portugal. Frequent co-authors include Amlan Ganguly, Partha Pratim Pande, Benjamin J. Belzer, Deukhyoun Heo, Kevin K. Chang, Christof Teuscher, Xinmin Yu, Suman P. Sah, Shobha Sundar Ram and A V Subramanyam. Their work appears in journals such as IEEE Transactions on Computers, ACM Transactions on Design Automation of Electronic Systems, ACM Journal on Emerging Technologies in Computing Systems, IEEE Transactions on Emerging Topics in Computing and IEEE Journal on Emerging and Selected Topics in Circuits and Systems.

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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