Ankan Saha
Impact in
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- Complex Network Analysis Techniques
Papers in
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- Stochastic Gradient Optimization Techniques 3
- Machine Learning and Algorithms 2
- Advanced Text Analysis Techniques 2
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- Web Data Mining and Analysis 2
- Recommender Systems and Techniques 2
- Co-authors
- Vikas Sindhwani (2 shared papers)Ambuj Tewari (2 shared papers)Xinhua Zhang (1 shared paper)S. V. N. Vishwanathan (4 shared papers)M. M. A. Hashem (1 shared paper)Shaunak Chatterjee (1 shared paper)S. K. Mandal (1 shared paper)Siyuan Gao (1 shared paper)
- Journals
- Theoretical Computer Science (1 paper)SIAM Journal on Optimization (1 paper)Lecture notes in computer science (1 paper)JOURNAL OF CLINICAL AND DIAGNOSTIC RESEARCH (1 paper)International Conference on Artificial Intelligence and Statistics (1 paper)
- Partner nations
- United StatesCanadaBangladesh
In The Last Decade
Ankan Saha
13 papers receiving 227 citations
Peers
Comparison fields: 5 of 60
- Computational Mathematics 8
- Statistical and Nonlinear Physics 58
- Artificial Intelligence 157
- Numerical Analysis 17
- General Social Sciences 9
Countries citing papers authored by Ankan Saha
This map shows the geographic impact of Ankan Saha'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 Ankan Saha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ankan Saha more than expected).
Fields of papers citing papers by Ankan Saha
This network shows the impact of papers produced by Ankan Saha. 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 Ankan Saha. The network helps show where Ankan Saha may publish in the future.
Co-authors
The 11 scholars most cited alongside Ankan Saha, 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 | 2012 | 112 | |
| 2 | 2013 | 63 | |
| 3 | 2012 | 25 | |
| 4 | Improved Regret Guarantees for Online Smooth Convex Optimization with Bandit Feedback | 2011 | 20 |
| 5 | Dynamic NMFs with Temporal Regularization for Online Analysis of Streaming Text | 2011 | 5 |
| 6 | Lower Bounds on Rate of Convergence of Cutting Plane Methods | 2010 | 4 |
| 7 | Efficient Approximation Algorithms for Minimum Enclosing Convex Shapes | 2009 | 3 |
| 8 | 2017 | 3 | |
| 9 | 2013 | 3 | |
| 10 | 2021 | 2 | |
| 11 | 2011 | 2 | |
| 12 | 2023 | 1 | |
| 13 | 2026 | 1 | |
| 14 | 2020 | 1 | |
| 15 | 2024 | 0 | |
| 16 | 2024 | 0 | |
| 17 | 2021 | 0 |
About Ankan Saha
Ankan Saha is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Computer Networks and Communications and Computational Mechanics, having authored 17 papers that have together received 245 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (3 papers), Stochastic Gradient Optimization Techniques (3 papers), Machine Learning and Algorithms (2 papers), Digital Marketing and Social Media (2 papers), Advanced Neural Network Applications (2 papers), Web Data Mining and Analysis (2 papers), Recommender Systems and Techniques (2 papers) and Advanced Text Analysis Techniques (2 papers). The work is most often cited by research in Computational Mathematics (8 citations), Statistical and Nonlinear Physics (58 citations), Artificial Intelligence (157 citations), Numerical Analysis (17 citations) and General Social Sciences (9 citations). Ankan Saha has collaborated with scholars based in United States, Canada and Bangladesh. Frequent co-authors include Vikas Sindhwani, Ambuj Tewari, Xinhua Zhang, S. V. N. Vishwanathan, Xinhua Zhang, Xinhua Zhang, M. M. A. Hashem, Shaunak Chatterjee, S. K. Mandal and Siyuan Gao. Their work appears in journals such as Theoretical Computer Science, SIAM Journal on Optimization, Lecture notes in computer science, JOURNAL OF CLINICAL AND DIAGNOSTIC RESEARCH and International Conference on Artificial Intelligence and Statistics.
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.