Debayan Das

56 papers receiving 1.2k citations

Peers

Debayan Das
Comparison fields: 5 of 66
  • Hardware and Architecture 466
  • Signal Processing 213
  • Artificial Intelligence 570
  • Computer Vision and Pattern Recognition 248
  • Computer Networks and Communications 248
Replace Frank K. Gürkaynak with:
Frank K. Gürkaynak Switzerland
Cong‐Kha Pham Japan
Hubert Kaeslin Switzerland
Yajun Ha Singapore
Mehdi Kamal Iran
N. Felber Switzerland
Bah‐Hwee Gwee Singapore
Yuan Cao China
Muhammad Abdullah Hanif Austria
Swagath Venkataramani United States
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Citations per field
00.5×3.7×
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Citations per year

Countries citing papers authored by Debayan Das

Since Specialization
Citations

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

Fields of papers citing papers by Debayan Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018203
2 201887
3 201976
4 201974
5 201866
6 201955
7 201750
8 201944
9 201639
10 202038
11 202036
12 202034
13 202030
14 202126
15 201725
16 202124
17 202224
18 202124
19 202121
20 202020

About Debayan Das

Debayan Das is a scholar working on Artificial Intelligence, Hardware and Architecture, Computer Vision and Pattern Recognition, Biomedical Engineering and Electrical and Electronic Engineering, having authored 62 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cryptographic Implementations and Security (33 papers), Physical Unclonable Functions (PUFs) and Hardware Security (31 papers), Chaos-based Image/Signal Encryption (18 papers), Wireless Body Area Networks (16 papers), Molecular Communication and Nanonetworks (9 papers), Bluetooth and Wireless Communication Technologies (7 papers), Energy Harvesting in Wireless Networks (4 papers) and Advanced Malware Detection Techniques (4 papers). The work is most often cited by research in Hardware and Architecture (466 citations), Signal Processing (213 citations), Artificial Intelligence (570 citations), Computer Vision and Pattern Recognition (248 citations) and Computer Networks and Communications (248 citations). Debayan Das has collaborated with scholars based in United States, India and Belgium. Frequent co-authors include Shreyas Sen, Shovan Maity, Baibhab Chatterjee, Santosh Ghosh, Arijit Raychowdhury, Josef Danial, Mayukh Nath, Soumen Moulik, Sudip Misra and Saad Bin Nasir. Their work appears in journals such as IEEE Journal of Solid-State Circuits, IEEE Design and Test, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, IEEE Microwave and Wireless Components Letters and IEEE Transactions on Biomedical Engineering.

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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