Ayan Acharya
Impact in
- Artificial Intelligence top 10%
- Advanced Clustering Algorithms Research
- Metaheuristic Optimization Algorithms Research
- Text and Document Classification Technologies
Papers in
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- Face and Expression Recognition 3
- Medical Image Segmentation Techniques 2
- Image and Object Detection Techniques 2
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- Metaheuristic Optimization Algorithms Research 5
- Domain Adaptation and Few-Shot Learning 3
- Bayesian Methods and Mixture Models 2
- Data Stream Mining Techniques 2
- Co-authors
- Joydeep GhoshAmit KonarEduardo R. HruschkaR. JanarthananLuiz F.S. ColettaMoacir Antonelli PontiMingyuan ZhouRaymond J. Mooney
- Journals
- ACM Transactions on Knowledge Discovery from Data (1 paper)IEEE Transactions on Visualization and Computer Graphics (1 paper)Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (1 paper)International Journal of Bio-Inspired Computation (1 paper)Integrated Computer-Aided Engineering (1 paper)
- Partner nations
- United StatesIndiaBrazil
In The Last Decade
Ayan Acharya
19 papers receiving 336 citations
Peers
Comparison fields: 5 of 82
- Artificial Intelligence 181
- Computational Mathematics 3
- Modeling and Simulation 22
- Control and Systems Engineering 100
- Computer Vision and Pattern Recognition 87
Countries citing papers authored by Ayan Acharya
This map shows the geographic impact of Ayan Acharya'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 Acharya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ayan Acharya more than expected).
Fields of papers citing papers by Ayan Acharya
This network shows the impact of papers produced by Ayan Acharya. 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 Acharya. The network helps show where Ayan Acharya may publish in the future.
Co-authorship network
The 16 scholars most cited alongside Ayan Acharya, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2019 | 24 | |
| 3 | 2018 | 4 | |
| 4 | Nonparametric Bayesian Factor Analysis for Dynamic Count Matrices | 2015 | 9 |
| 5 | 2015 | 11 | |
| 6 | 2015 | 1 | |
| 7 | 2015 | 5 | |
| 8 | 2015 | 28 | |
| 9 | 2014 | 18 | |
| 10 | 2014 | 10 | |
| 11 | 2013 | 1 | |
| 12 | 2012 | 3 | |
| 13 | Transfer Learning with Cluster Ensembles. | 2011 | 5 |
| 14 | 2011 | 124 | |
| 15 | Energy Efficient Data Gathering Schemes in Wireless Sensor Networks Using Ant Colony Optimization | 2009 | 3 |
| 16 | 2008 | 10 | |
| 17 | 2008 | 94 | |
| 18 | 2008 | 1 | |
| 19 | 2008 | 4 | |
| 20 | 2008 | 3 |
About Ayan Acharya
Ayan Acharya is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Transportation and Media Technology, having authored 20 papers that have together received 359 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (5 papers), Face and Expression Recognition (3 papers), Domain Adaptation and Few-Shot Learning (3 papers), Bayesian Methods and Mixture Models (2 papers), Medical Image Segmentation Techniques (2 papers), Advanced Control Systems Design (2 papers), Data Stream Mining Techniques (2 papers) and Image and Object Detection Techniques (2 papers). The work is most often cited by research in Artificial Intelligence (181 citations), Computational Mathematics (3 citations), Modeling and Simulation (22 citations), Control and Systems Engineering (100 citations) and Computer Vision and Pattern Recognition (87 citations). Ayan Acharya has collaborated with scholars based in United States, India and Brazil. Frequent co-authors include Joydeep Ghosh, Amit Konar, Eduardo R. Hruschka, R. Janarthanan, Luiz F.S. Coletta, Moacir Antonelli Ponti, Mingyuan Zhou, Raymond J. Mooney, A. Banerjee and Abhishek Bhattacharyya. Their work appears in journals such as ACM Transactions on Knowledge Discovery from Data, IEEE Transactions on Visualization and Computer Graphics, Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery, International Journal of Bio-Inspired Computation and Integrated Computer-Aided Engineering.
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.