Abhrajit Sengupta

21 papers receiving 590 citations

Peers

Abhrajit Sengupta
Comparison fields: 5 of 38
  • Hardware and Architecture 520
  • Cellular and Molecular Neuroscience 168
  • Electrical and Electronic Engineering 463
  • Artificial Intelligence 216
  • Signal Processing 49
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Citations per year

Countries citing papers authored by Abhrajit Sengupta

Since Specialization
Citations

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

Fields of papers citing papers by Abhrajit Sengupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Abhrajit Sengupta, 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 Abhrajit Sengupta Line = papers co-authored together Abhrajit Sengupta links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017233
2 201770
3 202161
4 202051
5 201848
6 198422
7 201720
8 201915
9 201515
10 202114
11 201812
12 20149
13 20209
14 20186
15 19875
16 19855
17 20173
18 20242
19 20221
20 20241

About Abhrajit Sengupta

Abhrajit Sengupta is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Artificial Intelligence and Signal Processing, having authored 21 papers that have together received 603 indexed citations. Recurring topics across this work include Physical Unclonable Functions (PUFs) and Hardware Security (15 papers), Integrated Circuits and Semiconductor Failure Analysis (11 papers), Neuroscience and Neural Engineering (7 papers), Cryptographic Implementations and Security (6 papers), Phytochemistry and Bioactive Compounds (3 papers), Advanced Malware Detection Techniques (3 papers), Phytochemistry and Bioactivity Studies (2 papers) and Advanced Memory and Neural Computing (2 papers). The work is most often cited by research in Hardware and Architecture (520 citations), Cellular and Molecular Neuroscience (168 citations), Electrical and Electronic Engineering (463 citations), Artificial Intelligence (216 citations) and Signal Processing (49 citations). Abhrajit Sengupta has collaborated with scholars based in United States, India and United Arab Emirates. Frequent co-authors include Ozgur Sinanoglu, Muhammad Yasin, Mohammed Ashraf, Jeyavijayan Rajendran, Mohammed Nabeel, Nimisha Limaye, Yiorgos Makris, Benjamin Carrión Schäfer, Johann Knechtel and Satwik Patnaik. Their work appears in journals such as IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Phytochemistry, IACR Transactions on Cryptographic Hardware and Embedded Systems, Archives of Biochemistry and Biophysics and Lecture notes in computer science.

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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