Anand D. Sarwate

5.2k total citations · 1 hit paper
119 papers, 2.5k citations indexed

About

Anand D. Sarwate is a scholar working on Artificial Intelligence, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Anand D. Sarwate has authored 119 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Artificial Intelligence, 40 papers in Computer Networks and Communications and 40 papers in Electrical and Electronic Engineering. Recurrent topics in Anand D. Sarwate's work include Privacy-Preserving Technologies in Data (37 papers), Wireless Communication Security Techniques (36 papers) and Distributed Control Multi-Agent Systems (15 papers). Anand D. Sarwate is often cited by papers focused on Privacy-Preserving Technologies in Data (37 papers), Wireless Communication Security Techniques (36 papers) and Distributed Control Multi-Agent Systems (15 papers). Anand D. Sarwate collaborates with scholars based in United States, Netherlands and India. Anand D. Sarwate's co-authors include Kamalika Chaudhuri, Claire Monteleoni, Tuncer C. Aysal, Martin J. Wainwright, Shuang Song, Anna Scaglione, Mehmet E. Yildiz, Alexandros G. Dimakis, Michael Gastpar and K. P. Sinha and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and IEEE Transactions on Automatic Control.

In The Last Decade

Anand D. Sarwate

115 papers receiving 2.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Differentially Private Empirical Risk Minimization.

2011 416 citations Kamalika Chaudhuri, Claire Monteleoni et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anand D. Sarwate United States	22	1.3k	948	490	197	185	119	2.5k
Matt Fredrikson United States	19	4.4k 3.3×	705 0.7×	398 0.8×	309 1.6×	156 0.8×	42	5.1k
A. Salman Avestimehr United States	32	1.8k 1.3×	2.5k 2.7×	1.8k 3.7×	81 0.4×	80 0.4×	128	4.2k
Fenglong Ma United States	30	2.1k 1.6×	288 0.3×	532 1.1×	857 4.4×	289 1.6×	120	3.5k
Shiva Prasad Kasiviswanathan United States	15	1.4k 1.1×	140 0.1×	172 0.4×	323 1.6×	239 1.3×	38	1.6k
Martin Jaggi Switzerland	22	1.3k 1.0×	321 0.3×	196 0.4×	38 0.2×	55 0.3×	78	2.0k
Krishnamoorthy Sivakumar United States	17	877 0.7×	303 0.3×	128 0.3×	137 0.7×	62 0.3×	80	1.6k
Jinwoo Shin South Korea	23	677 0.5×	710 0.7×	514 1.0×	57 0.3×	22 0.1×	132	1.9k
Yuan Qi China	17	443 0.3×	423 0.4×	134 0.3×	31 0.2×	21 0.1×	96	1.3k
Yuan Hong United States	22	617 0.5×	241 0.3×	310 0.6×	157 0.8×	89 0.5×	113	1.3k
Yaron Singer United States	18	683 0.5×	370 0.4×	57 0.1×	53 0.3×	388 2.1×	57	1.7k

Countries citing papers authored by Anand D. Sarwate

Since Specialization

Citations

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

Fields of papers citing papers by Anand D. Sarwate

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anand D. Sarwate. 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 Anand D. Sarwate. The network helps show where Anand D. Sarwate may publish in the future.

Co-authorship network of co-authors of Anand D. Sarwate

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

All Works

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20 of 20 papers shown

1.

Dey, Bikash Kumar, Sidharth Jaggi, Michael Langberg, Anand D. Sarwate, & Yihan Zhang. (2024). Codes for Adversaries: Between Worst-Case and Average-Case Jamming. Explore Bristol Research. 21(3-4). 300–588. 1 indexed citations

2.

Ye, Tao, et al.. (2024). Privacy-Preserving Visualization of Brain Functional Network Connectivity. 1–5. 1 indexed citations

3.

Dey, Bikash Kumar, Sidharth Jaggi, Michael Langberg, Anand D. Sarwate, & Yang Zhang. (2024). Computationally Efficient Codes for Strongly Dobrushin-Stambler Nonsymmetrizable Oblivious AVCs. Explore Bristol Research. 1586–1591. 1 indexed citations

4.

Islam, Rashidul, Kamrun Naher Keya, Shimei Pan, Anand D. Sarwate, & James R. Foulds. (2023). Differential Fairness: An Intersectional Framework for Fair AI. Entropy. 25(4). 660–660. 10 indexed citations

5.

Rootes-Murdy, Kelly, Harshvardhan Gazula, Thomas P. DeRamus, et al.. (2021). Federated Analysis of Neuroimaging Data: A Review of the Field. Neuroinformatics. 20(2). 377–390. 14 indexed citations

6.

Sarwate, Anand D., et al.. (2019). Learning Tree Structures from Noisy Data. International Conference on Artificial Intelligence and Statistics. 1771–1782. 2 indexed citations

7.

Sarwate, Anand D., et al.. (2019). Non-Parametric Structure Learning on Hidden Tree-Shaped Distributions.. arXiv (Cornell University). 1 indexed citations

8.

Silva, Rogers F., et al.. (2015). Large scale collaboration with autonomy: Decentralized data ICA. 1–6. 22 indexed citations

9.

Sarwate, Anand D. & Lalitha Sankar. (2014). A rate-disortion perspective on local differential privacy. 903–908. 34 indexed citations

10.

Chaudhuri, Kamalika, Anand D. Sarwate, & K. P. Sinha. (2013). A near-optimal algorithm for differentially-private principal components. Journal of Machine Learning Research. 14(1). 2905–2943. 67 indexed citations

11.

Sabato, Sivan, Anand D. Sarwate, & Nati Srebro. (2013). Auditing: Active Learning with Outcome-Dependent Query Costs. arXiv (Cornell University). 26. 512–520. 1 indexed citations

12.

Dey, Bikash Kumar, Sidharth Jaggi, Michael Langberg, & Anand D. Sarwate. (2012). Improved upper bounds on the capacity of binary channels with causal adversaries. 681–685. 11 indexed citations

13.

Chaudhuri, Kamalika, Anand D. Sarwate, & K. P. Sinha. (2012). Near-optimal Differentially Private Principal Components. Neural Information Processing Systems. 25. 989–997. 53 indexed citations

14.

Checkoway, Stephen, Anand D. Sarwate, & Hovav Shacham. (2010). Single-ballot risk-limiting audits using convex optimization. 1–13. 5 indexed citations

15.

Sarwate, Anand D., Kamalika Chaudhuri, & Claire Monteleoni. (2009). Differentially Private Support Vector Machines. arXiv (Cornell University). 5 indexed citations

16.

Sarwate, Anand D. & Michael Gastpar. (2007). Deterministic list codes for state-constrained arbitrarily varying channels. arXiv (Cornell University). 3 indexed citations

17.

Eswaran, Krishnan, Anand D. Sarwate, Anant Sahai, & Michael Gastpar. (2007). Limited feedback achieves the empirical capacity. arXiv (Cornell University). 3 indexed citations

18.

Sarwate, Anand D. & Michael Gastpar. (2006). Randomization for robust communication in networks, or Brother, can you spare a bit?. 978–986. 1 indexed citations

19.

Sarwate, Anand D. & Michael Gastpar. (2006). Randomization bounds on Gaussian arbitrarily varying channels. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 2161–2165. 6 indexed citations

20.

Sarwate, Anand D. & Michael Gastpar. (2005). Estimation from misaligned observations with limited feedback. 5 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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