Anand D. Sarwate

5.2k citations
119 papers · 2.5k indexed · 1 hit paper · h-index 22

Anand D. Sarwate

115 papers receiving 2.4k citations

Hit Papers

Differentially Private Empirical Risk Minimization.4162011202620162021100200300400

Peers

Anand D. Sarwate
Comparison fields: 5 of 106
  • Computational Mathematics 37
  • Computer Networks and Communications 948
  • Artificial Intelligence 1.3k
  • Computer Science Applications 185
  • Health Informatics 40
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Martin Jaggi Switzerland
A. Salman Avestimehr United States
Shiva Prasad Kasiviswanathan United States
Emmanuel Abbé United States
Fenglong Ma United States
Markus Weimer United States
Yaoliang Yu Canada
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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

The 25 scholars most cited alongside Anand D. Sarwate, 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 Anand D. Sarwate Line = papers co-authored together Anand D. Sarwate links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20241
3 20241
4 20241
5 20242
6 202310
7 20206
8
Non-Parametric Structure Learning on Hidden Tree-Shaped Distributions.
20191
9
Learning Tree Structures from Noisy Data
20192
10 20188
11 20141
12 201367
13 201324
14
Near-optimal Differentially Private Principal Components
201253
15
Single-ballot risk-limiting audits using convex optimization
20105
16
Differentially Private Support Vector Machines
20095
17
Deterministic list codes for state-constrained arbitrarily varying channels
20073
18
Limited feedback achieves the empirical capacity
20073
19
Randomization for robust communication in networks, or Brother, can you spare a bit?
20061
20 20066

About Anand D. Sarwate

Anand D. Sarwate is a scholar working on Computational Mathematics, Artificial Intelligence, Computer Networks and Communications, Statistics and Probability and Signal Processing, having authored 119 papers that have together received 2.5k indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (37 papers), Wireless Communication Security Techniques (36 papers), Distributed Control Multi-Agent Systems (15 papers), Sparse and Compressive Sensing Techniques (13 papers), Cooperative Communication and Network Coding (11 papers), Stochastic Gradient Optimization Techniques (11 papers), Tensor decomposition and applications (10 papers) and Cellular Automata and Applications (10 papers). The work is most often cited by research in Computational Mathematics (37 citations), Computer Networks and Communications (948 citations), Artificial Intelligence (1.3k citations), Computer Science Applications (185 citations) and Health Informatics (40 citations). Anand D. Sarwate has collaborated with scholars based in United States, Netherlands and India. Frequent co-authors include Kamalika Chaudhuri, Claire Monteleoni, Tuncer C. Aysal, Martin J. Wainwright, Shuang Song, Mehmet E. Yildiz, Anna Scaglione, Alexandros G. Dimakis, Michael Gastpar and K. P. Sinha. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Transactions on Signal Processing, IEEE Transactions on Automatic Control, IEEE Journal of Selected Topics in Signal Processing and Frontiers in Neuroinformatics.

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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