Debayan Das

53 papers receiving 1.1k citations

Peers

Debayan Das
Comparison fields: 5 of 59
  • Hardware and Architecture 431
  • Signal Processing 180
  • Artificial Intelligence 513
  • Computer Vision and Pattern Recognition 225
  • Computer Networks and Communications 227
Replace Cong‐Kha Pham with:
Cong‐Kha Pham Japan
Frank K. Gürkaynak Switzerland
Hubert Kaeslin Switzerland
Yajun Ha Singapore
Mehdi Kamal Iran
N. Felber Switzerland
Yuan Cao China
Muhammad Abdullah Hanif Austria
Himanshu Kaul United States
B.F. Cockburn Canada
Debayan Das relative to Cong‐Kha Pham Japan Cong‐Kha Pham's profile →
Citations per field
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Cong‐Kha Pham · 1×
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 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018181
2 201885
3 201970
4 201861
5 201960
6 201748
7 201947
8 201941
9 201637
10 202036
11 202033
12 202032
13 202026
14 201725
15 202224
16 202124
17 202123
18 202121
19 202120
20 200217

About Debayan Das

Debayan Das is a scholar working on Hardware and Architecture, Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing and Computer Networks and Communications, having authored 58 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cryptographic Implementations and Security (32 papers), Physical Unclonable Functions (PUFs) and Hardware Security (30 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 (431 citations), Signal Processing (180 citations), Artificial Intelligence (513 citations), Computer Vision and Pattern Recognition (225 citations) and Computer Networks and Communications (227 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, Josef Danial, Arijit Raychowdhury, 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 Microwave and Wireless Components Letters, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems and Scientific Reports.

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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