Sujit Kumar Dey

5.8k citations
189 papers · 4.3k · h-index 36

Impact in

Papers in

Sujit Kumar Dey

181 papers receiving 4.2k citations

Peers

Sujit Kumar Dey
Comparison fields: 5 of 143
  • Hardware and Architecture 1.7k
  • Computer Networks and Communications 1.7k
  • Computer Vision and Pattern Recognition 960
  • Electrical and Electronic Engineering 1.9k
  • Signal Processing 371
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Lei He United States
Assaf Schuster Israel
Osman Hasan Pakistan
Christian Poellabauer United States
Aleksandar Milenković United States
Lingjia Tang United States
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Massimo Poncino Italy
Fadi Aloul United Arab Emirates
Karl Koscher United States
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Citations per field
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Citations per year

Countries citing papers authored by Sujit Kumar Dey

Since Specialization
Citations

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

Fields of papers citing papers by Sujit Kumar Dey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sujit Kumar Dey. 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 Sujit Kumar Dey. The network helps show where Sujit Kumar Dey may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 189 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014233
2 1998198
3 2001163
4 2013151
5 1999146
6 2015112
7 2021102
8 200390
9 201288
10 200187
11 200986
12 199685
13 201578
14 201077
15 201775
16 202173
17 202072
18 200066
19 200066
20 200462

About Sujit Kumar Dey

Sujit Kumar Dey is a scholar working on Hardware and Architecture, Computer Vision and Pattern Recognition, Computer Networks and Communications, Signal Processing and Electrical and Electronic Engineering, having authored 189 papers that have together received 4.3k indexed citations. Recurring topics across this work include VLSI and Analog Circuit Testing (41 papers), Image and Video Quality Assessment (31 papers), Low-power high-performance VLSI design (31 papers), Video Coding and Compression Technologies (26 papers), Integrated Circuits and Semiconductor Failure Analysis (24 papers), Embedded Systems Design Techniques (22 papers), Radiation Effects in Electronics (20 papers) and VLSI and FPGA Design Techniques (17 papers). The work is most often cited by research in Hardware and Architecture (1.7k citations), Computer Networks and Communications (1.7k citations), Computer Vision and Pattern Recognition (960 citations), Electrical and Electronic Engineering (1.9k citations) and Signal Processing (371 citations). Sujit Kumar Dey has collaborated with scholars based in United States, Japan and India. Frequent co-authors include Anand Raghunathan, Shaoxuan Wang, Hasti Ahlehagh, Niraj Kumar Jha, Po-Han Chiang, Xiaoliang Bai, Kanishka Lahiri, Xueshi Hou, Miodrag Potkonjak and Yao Liu. Their work appears in journals such as IEEE Access, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, IEEE Transactions on Vehicular Technology, IEEE Transactions on Multimedia and Multimedia Tools and Applications.

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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