Ayan Biswas

644 citations
43 papers · 420 indexed · h-index 14

Ayan Biswas

38 papers receiving 404 citations

Peers

Ayan Biswas
Comparison fields: 5 of 92
  • Computer Graphics and Computer-Aided Design 74
  • Computer Vision and Pattern Recognition 181
  • Signal Processing 62
  • Computational Mathematics 2
  • Information Systems and Management 22
Replace Christoph Schulz with:
Christoph Schulz Germany
Al Globus United States
Chenhui Li China
Janusz S. Kulpa Poland
Jiřı́ Bittner Czechia
Thomas Malzbender United States
Werner Benger United States
Isabel Beichl United States
Ayan Biswas relative to Christoph Schulz Germany Christoph Schulz's profile →
Citations per field
00.5×1.5×2.2×
Christoph Schulz · 1×
Citations per year

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-authorship network

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
#Work
1 20245
2 20241
3 20230
4 202313
5 20222
6 20220
7 20211
8 20203
9 20200
10 20198
11 201841
12 20182
13 20175
14 20175
15 20161
16 201513
17 201354
18 201334
19
Text Steganography using CALP with High Embedding Capacity
20114
20
Hiding Data in Text Through Changing in Alphabet Letter Patterns (CALP)
20119

About Ayan Biswas

Ayan Biswas is a scholar working on Computer Graphics and Computer-Aided Design, Acoustics and Ultrasonics, Computer Vision and Pattern Recognition, Signal Processing and Information Systems and Management, having authored 43 papers that have together received 420 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 (3 papers), Scientific Computing and Data Management (3 papers), Effects and risks of endocrine disrupting chemicals (3 papers) and Time Series Analysis and Forecasting (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (74 citations), Computer Vision and Pattern Recognition (181 citations), Signal Processing (62 citations), Computational Mathematics (2 citations) and Information Systems and Management (22 citations). Ayan Biswas has collaborated with scholars based in United States, India and Bangladesh. Frequent co-authors include Han‐Wei Shen, Soumya Dutta, James Ahrens, Jonathan Woodring, Jayasimha Atulasimha, Xiaotong Liu, Chunming Chen, 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, The International Journal of High Performance Computing Applications, Applied Physics Letters and Journal of Applied Physics.

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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2026