Sharan Vaswani

451 total citations
7 papers, 28 citations indexed

About

Sharan Vaswani is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computer Networks and Communications. According to data from OpenAlex, Sharan Vaswani has authored 7 papers receiving a total of 28 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 4 papers in Management Science and Operations Research and 1 paper in Computer Networks and Communications. Recurrent topics in Sharan Vaswani's work include Advanced Bandit Algorithms Research (4 papers), Data Stream Mining Techniques (3 papers) and Sparse and Compressive Sensing Techniques (1 paper). Sharan Vaswani is often cited by papers focused on Advanced Bandit Algorithms Research (4 papers), Data Stream Mining Techniques (3 papers) and Sparse and Compressive Sensing Techniques (1 paper). Sharan Vaswani collaborates with scholars based in Canada, United States and India. Sharan Vaswani's co-authors include Laks V. S. Lakshmanan, Mark Schmidt, Smriti Bhagat, Zheng Wen, Branislav Kveton, Mohammad Ghavamzadeh and Simon Lacoste-Julien and has published in prestigious journals such as Machine Learning, arXiv (Cornell University) and Open Collections.

In The Last Decade

Sharan Vaswani

7 papers receiving 27 citations

Peers

Sharan Vaswani

SNP

AI

MSOR

CNC

SPS

Benjamin Paul Chamberlain United Kingdom

John Palowitch United States

Christina Lee United States

Y. G. Wu China

Eliav Buchnik United States

Florian Wilhelm Germany

L. Ren China

Sören Dittmer Germany

Yikuan Xia China

H. Y. Zhang China

Benjamin Paul Chamberlain United Kingdom

Sharan Vaswani

9 ×0.6

SNP

5 ×0.5

AI

3 ×0.3

MSOR

6 ×1.0

CNC

0 ×0.0

SPS

Citations per year, relative to Sharan Vaswani Sharan Vaswani (= 1×) peers Benjamin Paul Chamberlain

Countries citing papers authored by Sharan Vaswani

Since Specialization

Citations

This map shows the geographic impact of Sharan Vaswani'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 Sharan Vaswani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sharan Vaswani more than expected).

Fields of papers citing papers by Sharan Vaswani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sharan Vaswani. 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 Sharan Vaswani. The network helps show where Sharan Vaswani may publish in the future.

Co-authorship network of co-authors of Sharan Vaswani

This figure shows the co-authorship network connecting the top 25 collaborators of Sharan Vaswani. A scholar is included among the top collaborators of Sharan Vaswani 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 Sharan Vaswani. Sharan Vaswani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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7 of 7 papers shown

1.

Vaswani, Sharan, et al.. (2022). SVRG meets AdaGrad: painless variance reduction. Machine Learning. 111(12). 4359–4409. 4 indexed citations

2.

Vaswani, Sharan, Branislav Kveton, Zheng Wen, et al.. (2017). Diffusion Independent Semi-Bandit Influence Maximization.. arXiv (Cornell University). 4 indexed citations

3.

Vaswani, Sharan, Branislav Kveton, Zheng Wen, et al.. (2017). Model-Independent Online Learning for Influence Maximization. arXiv (Cornell University). 3530–3539. 6 indexed citations

4.

Vaswani, Sharan, Mark Schmidt, & Laks V. S. Lakshmanan. (2017). Horde of Bandits using Gaussian Markov Random Fields. arXiv (Cornell University). 690–699. 2 indexed citations

5.

Vaswani, Sharan. (2015). Influence maximization in bandit and adaptive settings. Open Collections. 2 indexed citations

6.

Bhagat, Smriti, et al.. (2014). Modeling non-progressive phenomena for influence propagation. 131–138. 7 indexed citations

7.

Vaswani, Sharan, et al.. (2013). Performance evaluation of medical imaging algorithms on Intel<sup>®</sup> MIC platform. 6. 396–404. 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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