Ankan Saha

461 citations
16 papers · 218 · h-index 5

Impact in

Papers in

Ankan Saha

12 papers receiving 201 citations

Peers

Ankan Saha
Comparison fields: 5 of 57
  • Computational Mathematics 6
  • Artificial Intelligence 141
  • Statistical and Nonlinear Physics 51
  • Numerical Analysis 16
  • Computational Mechanics 49
Replace Eden Chlamtáč with:
Eden Chlamtáč United States
Kush Bhatia United States
Tasuku Soma Japan
Ian En-Hsu Yen United States
Anand Louis United States
Kiyohito Nagano Japan
Haihao Lu United States
Abbas Mehrabian Canada
Vassilis N. Ioannidis United States
Ankan Saha relative to Eden Chlamtáč United States Eden Chlamtáč's profile →
Citations per field
00.5×3.8×
Eden Chlamtáč · 1×
Citations per year

Countries citing papers authored by Ankan Saha

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ankan Saha Line = papers co-authored together Ankan Saha links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 201296
2 201359
3 201224
4
Improved Regret Guarantees for Online Smooth Convex Optimization with Bandit Feedback
201119
5
Lower Bounds on Rate of Convergence of Cutting Plane Methods
20104
6
Efficient Approximation Algorithms for Minimum Enclosing Convex Shapes
20093
7 20173
8
Dynamic NMFs with Temporal Regularization for Online Analysis of Streaming Text
20113
9 20212
10 20132
11 20231
12 20261
13 20201
14 20240
15 20240
16 20210

About Ankan Saha

Ankan Saha is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 16 papers that have together received 218 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (3 papers), Stochastic Gradient Optimization Techniques (3 papers), Digital Marketing and Social Media (2 papers), Web Data Mining and Analysis (2 papers), Recommender Systems and Techniques (2 papers), Advanced Text Analysis Techniques (2 papers), Complex Network Analysis Techniques (2 papers) and Network Packet Processing and Optimization (1 paper). The work is most often cited by research in Computational Mathematics (6 citations), Artificial Intelligence (141 citations), Statistical and Nonlinear Physics (51 citations), Numerical Analysis (16 citations) and Computational Mechanics (49 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, Parag Agrawal, S. K. Mandal, M. M. A. Hashem and Shaunak Chatterjee. Their work appears in journals such as SIAM Journal on Optimization, Theoretical Computer Science, JOURNAL OF CLINICAL AND DIAGNOSTIC RESEARCH, neural information processing systems 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.

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