Ayan Biswas

43 papers receiving 437 citations

Peers

Ayan Biswas
Comparison fields: 5 of 93
  • Computer Graphics and Computer-Aided Design 79
  • Computer Vision and Pattern Recognition 186
  • Signal Processing 65
  • Computational Mathematics 2
  • Artificial Intelligence 107
Replace Mahsa Mirzargar with:
Mahsa Mirzargar United States
Janusz S. Kulpa Poland
G. Peano Italy
Isabel Beichl United States
Liang Deng China
Jiřı́ Bittner Czechia
Gerhard Zumbusch Germany
Ernesto Bonomi Italy
Werner Benger United States
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Countries citing papers authored by Ayan Biswas

Since Specialization
Citations

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

Fields of papers citing papers by Ayan Biswas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201356
2 201843
3 201639
4 201334
5 201727
6 201821
7 201819
8 201818
9 201518
10 202317
11 202016
12 202015
13 201514
14 201513
15 20199
16
Hiding Data in Text Through Changing in Alphabet Letter Patterns (CALP)
20119
17 20247
18 20147
19 20176
20 20136

About Ayan Biswas

Ayan Biswas is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Signal Processing and Computer Graphics and Computer-Aided Design, having authored 47 papers that have together received 455 indexed citations. Recurring topics across this work include Data Visualization and Analytics (10 papers), Computer Graphics and Visualization Techniques (7 papers), Advanced Data Storage Technologies (6 papers), Gaussian Processes and Bayesian Inference (5 papers), Data Management and Algorithms (4 papers), Scientific Computing and Data Management (3 papers), Time Series Analysis and Forecasting (3 papers) and Chaos-based Image/Signal Encryption (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (79 citations), Computer Vision and Pattern Recognition (186 citations), Signal Processing (65 citations), Computational Mathematics (2 citations) and Artificial Intelligence (107 citations). Ayan Biswas has collaborated with scholars based in United States, India and Netherlands. Frequent co-authors include Han‐Wei Shen, Soumya Dutta, James Ahrens, Jonathan Woodring, Chunming Chen, Jayasimha Atulasimha, Xiaotong Liu, Supriyo Bandyopadhyay, Guang Lin and Earl Lawrence. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Computing in Science & Engineering, Journal of Synchrotron Radiation, Journal of Environmental Management and Applied Physics Letters.

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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