Sumit Pandey

1.1k citations
51 papers · 780 · h-index 14

Impact in

Papers in

Sumit Pandey

45 papers receiving 745 citations

Peers

Sumit Pandey
Comparison fields: 5 of 102
  • Computer Vision and Pattern Recognition 363
  • Artificial Intelligence 563
  • Hardware and Architecture 108
  • Human-Computer Interaction 34
  • Signal Processing 40
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Citations per field
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Citations per year

Countries citing papers authored by Sumit Pandey

Since Specialization
Citations

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

Fields of papers citing papers by Sumit Pandey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017277
2
GIFT: A Small Present Towards Reaching the Limit of Lightweight Encryption
201789
3 201876
4 202350
5 201124
6 202323
7 201422
8 201621
9 201919
10 202218
11 201116
12 201615
13 201813
14 201813
15
The Child-to-Child (C2C) Method: Participatory Design for, with and by Children in a Children's Museum
201310
16 20156
17
‘Pop-up’ Maker-spaces: Catalysts for Creative Participatory Culture
20166
18 20156
19 20076
20 20186

About Sumit Pandey

Sumit Pandey is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Information Systems and Human-Computer Interaction, having authored 51 papers that have together received 780 indexed citations. Recurring topics across this work include Cryptographic Implementations and Security (15 papers), Coding theory and cryptography (14 papers), graph theory and CDMA systems (8 papers), Cryptography and Data Security (7 papers), Chaos-based Image/Signal Encryption (6 papers), Innovative Human-Technology Interaction (6 papers), Advanced Authentication Protocols Security (3 papers) and Advanced Neural Network Applications (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (363 citations), Artificial Intelligence (563 citations), Hardware and Architecture (108 citations), Human-Computer Interaction (34 citations) and Signal Processing (40 citations). Sumit Pandey has collaborated with scholars based in India, Singapore and United Kingdom. Frequent co-authors include Yu Sasaki, Yosuke Todo, Thomas Peyrin, Subhadeep Banik, Siang Meng Sim, Palash Goyal, Kishan Chand Gupta, Kuan‐Fu Chen, Erik B. Dam and Susanta Kumar Samanta. Their work appears in journals such as Designs Codes and Cryptography, Advances in Mathematics of Communications, Lecture notes in computer science, Journal of Mathematical Cryptology and Eksploatacja i Niezawodnosc - Maintenance and Reliability.

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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