Sanjoy Das

1.4k citations
58 papers · 947 indexed · h-index 18

Sanjoy Das

57 papers receiving 903 citations

Peers

Sanjoy Das
Comparison fields: 5 of 117
  • Media Technology 210
  • Computer Vision and Pattern Recognition 462
  • Artificial Intelligence 312
  • Computational Theory and Mathematics 68
  • Industrial and Manufacturing Engineering 40
Replace Jorge Gálvez with:
Jorge Gálvez Mexico
Zhikai Xing China
Moussa Diaf Algeria
Swarnajit Ray India
Krishna Gopal Dhal India
Xiaofeng Wang China
Xiaoxu Peng China
Manoj Kumar Naik India
Minghao Chen China
Taotao Lai China
Sanjoy Das relative to Jorge Gálvez Mexico Jorge Gálvez's profile →
Citations per field
00.5×12×
Jorge Gálvez · 1×
Citations per year

Countries citing papers authored by Sanjoy Das

Since Specialization
Citations

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

Fields of papers citing papers by Sanjoy Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20212
3 20207
4 20201
5 201924
6 201915
7 20191
8
An Information Hiding Scheme in Wavelet Domain using Chaos Dynamics
20182
9 201888
10 201812
11 20187
12 201821
13 20184
14 20182
15 20171
16 201719
17 201713
18 201514
19 201015
20 200458

About Sanjoy Das

Sanjoy Das is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Hardware and Architecture, having authored 58 papers that have together received 947 indexed citations. Recurring topics across this work include Image Enhancement Techniques (18 papers), Metaheuristic Optimization Algorithms Research (8 papers), Cloud Computing and Resource Management (7 papers), Distributed and Parallel Computing Systems (7 papers), Parallel Computing and Optimization Techniques (7 papers), Advanced Image Fusion Techniques (6 papers), Image and Signal Denoising Methods (6 papers) and Remote-Sensing Image Classification (6 papers). The work is most often cited by research in Media Technology (210 citations), Computer Vision and Pattern Recognition (462 citations) and Artificial Intelligence (312 citations). Sanjoy Das has collaborated with scholars based in India, Mexico and Bangladesh. Frequent co-authors include Krishna Gopal Dhal, Swarnajit Ray, Arunita Das, Jorge Gálvez, Arunita Das, A.K. Chattopadhyay, Sujoy K. Guha, Yunlong Zhang, Tarun Kumar Ghosh and Santanu Das. Their work appears in journals such as Archives of Computational Methods in Engineering, Proceedings of the Institution of Mechanical Engineers Part J Journal of Engineering Tribology, Evolving Systems, Multimedia Tools and Applications and Journal of Scientific & Industrial Research.

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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