Mridul Nandi

2.1k citations
69 papers · 322 · h-index 8

Impact in

Papers in

Mridul Nandi

62 papers receiving 310 citations

Peers

Mridul Nandi
Comparison fields: 5 of 21
  • Artificial Intelligence 308
  • Computer Vision and Pattern Recognition 196
  • Hardware and Architecture 31
  • Signal Processing 21
  • Discrete Mathematics and Combinatorics 3
Replace Christophe De Cannière with:
Christophe De Cannière Belgium
Jérémy Jean France
Christof Beierle Germany
Christina Boura France
Jie Guan China
Kazuhiko Minematsu Japan
Yu Sasaki Japan
Yosuke Todo Japan
Siang Meng Sim Singapore
Stefan Kölbl Japan
Mridul Nandi relative to Christophe De Cannière Belgium Christophe De Cannière's profile →
Citations per field
00.5×10×14.8×
Christophe De Cannière · 1×
Citations per year

Countries citing papers authored by Mridul Nandi

Since Specialization
Citations

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

Fields of papers citing papers by Mridul Nandi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201838
2 200722
3 201822
4 201919
5 201617
6 202015
7 201814
8 201713
9 20177
10 20176
11 20206
12 20186
13 20086
14 20206
15 20186
16 20215
17 20165
18 20165
19 20175
20 20185

About Mridul Nandi

Mridul Nandi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Molecular Biology and Hardware and Architecture, having authored 69 papers that have together received 322 indexed citations. Recurring topics across this work include Cryptographic Implementations and Security (59 papers), Coding theory and cryptography (49 papers), Chaos-based Image/Signal Encryption (33 papers), Cryptography and Data Security (27 papers), graph theory and CDMA systems (7 papers), DNA and Biological Computing (4 papers), Physical Unclonable Functions (PUFs) and Hardware Security (3 papers) and Complexity and Algorithms in Graphs (2 papers). The work is most often cited by research in Artificial Intelligence (308 citations), Computer Vision and Pattern Recognition (196 citations), Hardware and Architecture (31 citations), Signal Processing (21 citations) and Discrete Mathematics and Combinatorics (3 citations). Mridul Nandi has collaborated with scholars based in India, Japan and Germany. Frequent co-authors include Nilanjan Datta, Kan Yasuda, Avijit Dutta, Douglas R. Stinson, Cuauhtémoc Mancillas-López, Eik List, Goutam Paul, Kazuhiko Minematsu, Tetsu Iwata and Bart Mennink. Their work appears in journals such as IACR Transactions on Symmetric Cryptology, Journal of Mathematical Cryptology, IEEE Transactions on Information Theory, Cryptography and Communications and Designs Codes and Cryptography.

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.

Explore authors with similar magnitude of impact