Monodeep Kar

1.0k citations
48 papers · 625 indexed · h-index 15
Topics
Cryptographic Implementations and Security (21 papers)Physical Unclonable Functions (PUFs) and Hardware Security (21 papers)Chaos-based Image/Signal Encryption (12 papers)

In The Last Decade

Monodeep Kar

46 papers receiving 616 citations

Peers

Monodeep Kar
Comparison fields: 5 of 30
  • Artificial Intelligence 386
  • Hardware and Architecture 374
  • Electrical and Electronic Engineering 259
  • Computer Vision and Pattern Recognition 186
  • Signal Processing 58
Replace Arvind Singh with:
Arvind Singh United States
Siavash Bayat-Sarmadi Iran
Philippe Maurine France
Yu‐ichi Hayashi Japan
Xuan‐Tu Tran Vietnam
Kwen‐Siong Chong Singapore
Daniel Ziener Germany
Van‐Phuc Hoang Vietnam
Masaya Yoshikawa Japan
Monodeep Kar relative to Arvind Singh United States Arvind Singh's profile →
Citations per field
00.5×1.6×
Arvind Singh · 1×
Citations per year

Countries citing papers authored by Monodeep Kar

Since Specialization
Citations

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

Fields of papers citing papers by Monodeep Kar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Monodeep Kar

This figure shows the co-authorship network connecting the top 25 collaborators of Monodeep Kar. A scholar is included among the top collaborators of Monodeep Kar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Monodeep Kar. Monodeep Kar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 0
3 17
4 3
5 3
6 3
7 2
8 39
9 50
10 19
11 3
12 54
13 5
14 3
15 35
16 6
17 14
18 3
19 10
20 5

About Monodeep Kar

Monodeep Kar is a scholar working on Hardware and Architecture, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 48 papers that have together received 625 indexed citations. Recurring topics across this work include Cryptographic Implementations and Security (21 papers), Physical Unclonable Functions (PUFs) and Hardware Security (21 papers) and Chaos-based Image/Signal Encryption (12 papers). The work is most often cited by research in Hardware and Architecture (374 citations), Artificial Intelligence (386 citations) and Computer Vision and Pattern Recognition (186 citations). Monodeep Kar has collaborated with scholars based in United States, India and Switzerland. Frequent co-authors include Saibal Mukhopadhyay, Arvind Singh, Vivek De, Anand Prem Rajan, Sanu Mathew, Jong Hwan Ko, Venkata Chaitanya Krishna Chekuri, Mark Anders, Himanshu Kaul and Amit Agarwal. Their work appears in journals such as IEEE Transactions on Power Electronics, IEEE Journal of Solid-State Circuits and IEEE Internet of Things Journal.

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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