Ankan Saha

458 total citations
14 papers, 216 citations indexed

About

Ankan Saha is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Ankan Saha has authored 14 papers receiving a total of 216 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in Computer Networks and Communications and 3 papers in Information Systems. Recurrent topics in Ankan Saha's work include Sparse and Compressive Sensing Techniques (3 papers), Stochastic Gradient Optimization Techniques (3 papers) and Complex Network Analysis Techniques (2 papers). Ankan Saha is often cited by papers focused on Sparse and Compressive Sensing Techniques (3 papers), Stochastic Gradient Optimization Techniques (3 papers) and Complex Network Analysis Techniques (2 papers). Ankan Saha collaborates with scholars based in United States, Canada and India. Ankan Saha's co-authors include Vikas Sindhwani, Ambuj Tewari, S. V. N. Vishwanathan, Xinhua Zhang, Xinhua Zhang, Xinhua Zhang, Shaunak Chatterjee, Parag Agrawal, S. K. Mandal and Siyuan Gao and has published in prestigious journals such as SIAM Journal on Optimization, Theoretical Computer Science and JOURNAL OF CLINICAL AND DIAGNOSTIC RESEARCH.

In The Last Decade

Ankan Saha

12 papers receiving 200 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ankan Saha United States 5 140 51 49 35 32 14 216
Ian En-Hsu Yen United States 10 279 2.0× 24 0.5× 16 0.3× 60 1.7× 92 2.9× 24 327
Kush Bhatia United States 6 279 2.0× 12 0.2× 24 0.5× 44 1.3× 78 2.4× 12 341
Abhay Harpale United States 5 157 1.1× 24 0.5× 29 0.6× 94 2.7× 40 1.3× 7 308
Shengbo Guo United States 8 124 0.9× 14 0.3× 29 0.6× 60 1.7× 40 1.3× 8 227
Srinivas Vadrevu United States 9 202 1.4× 18 0.4× 24 0.5× 137 3.9× 55 1.7× 17 287
Yevgeny Seldin Germany 10 215 1.5× 9 0.2× 21 0.4× 12 0.3× 25 0.8× 30 266
Tasuku Soma Japan 7 62 0.4× 21 0.4× 14 0.3× 12 0.3× 8 0.3× 15 169
Anand Louis United States 7 97 0.7× 64 1.3× 8 0.2× 10 0.3× 37 1.2× 15 197
Salman Salamatian United States 7 208 1.5× 8 0.2× 17 0.3× 21 0.6× 23 0.7× 15 276

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-authorship network of co-authors of Ankan Saha

This figure shows the co-authorship network connecting the top 25 collaborators of Ankan Saha. A scholar is included among the top collaborators of Ankan Saha based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ankan Saha. Ankan Saha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
2.
Gao, Siyuan, et al.. (2023). Promoting Inactive Members in Edge-Building Marketplace. 945–949. 1 indexed citations
3.
Saha, Ankan, et al.. (2021). Clinical and Biochemical Profile of COVID-19 Patients Admitted in a Tertiary Care Hospital of Kolkata. JOURNAL OF CLINICAL AND DIAGNOSTIC RESEARCH.
4.
Saha, Ankan, et al.. (2021). Predicting Potentially Undetectable Flows in DPI System using Machine Learning. 6. 131–136. 2 indexed citations
5.
Saha, Ankan, et al.. (2020). Edge formation in Social Networks to Nurture Content Creators. 1999–2008. 1 indexed citations
6.
Saha, Ankan, et al.. (2017). Generalized Mixed Effect Models for Personalizing Job Search. 1129–1132. 3 indexed citations
7.
Zhang, Xinhua, Ankan Saha, & S. V. N. Vishwanathan. (2013). Accelerated training of max-margin Markov networks with kernels. Theoretical Computer Science. 519. 88–102. 2 indexed citations
8.
Saha, Ankan & Ambuj Tewari. (2013). On the Nonasymptotic Convergence of Cyclic Coordinate Descent Methods. SIAM Journal on Optimization. 23(1). 576–601. 58 indexed citations
9.
Saha, Ankan & Vikas Sindhwani. (2012). Learning evolving and emerging topics in social media. 693–702. 96 indexed citations
10.
Zhang, Xinhua, Ankan Saha, & S. V. N. Vishwanathan. (2012). Smoothing Multivariate Performance Measures. arXiv (Cornell University). 13(1). 3623–3680. 24 indexed citations
11.
Saha, Ankan & Ambuj Tewari. (2011). Improved Regret Guarantees for Online Smooth Convex Optimization with Bandit Feedback. International Conference on Artificial Intelligence and Statistics. 636–642. 19 indexed citations
12.
Saha, Ankan & Vikas Sindhwani. (2011). Dynamic NMFs with Temporal Regularization for Online Analysis of Streaming Text. 3 indexed citations
13.
Zhang, Xinhua, Ankan Saha, & S. V. N. Vishwanathan. (2010). Lower Bounds on Rate of Convergence of Cutting Plane Methods. neural information processing systems. 23. 2541–2549. 4 indexed citations
14.
Saha, Ankan & S. V. N. Vishwanathan. (2009). Efficient Approximation Algorithms for Minimum Enclosing Convex Shapes. arXiv (Cornell University). 3 indexed citations

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