Lalitha Sankar

3.3k total citations
101 papers, 1.9k citations indexed

About

Lalitha Sankar is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, Lalitha Sankar has authored 101 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Artificial Intelligence, 49 papers in Electrical and Electronic Engineering and 27 papers in Computer Networks and Communications. Recurrent topics in Lalitha Sankar's work include Privacy-Preserving Technologies in Data (34 papers), Wireless Communication Security Techniques (31 papers) and Smart Grid Security and Resilience (20 papers). Lalitha Sankar is often cited by papers focused on Privacy-Preserving Technologies in Data (34 papers), Wireless Communication Security Techniques (31 papers) and Smart Grid Security and Resilience (20 papers). Lalitha Sankar collaborates with scholars based in United States, Canada and Singapore. Lalitha Sankar's co-authors include Oliver Kosut, H. Vincent Poor, Jingwen Liang, Jiazi Zhang, S. Raj Rajagopalan, Flávio P. Calmon, Jiachun Liao, Soheil Mohajer, Anand D. Sarwate and Narayan B. Mandayam and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Information Theory and IEEE Transactions on Power Systems.

In The Last Decade

Lalitha Sankar

97 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lalitha Sankar United States 20 966 911 702 683 126 101 1.9k
Himanshu Khurana United States 21 740 0.8× 675 0.7× 911 1.3× 1.2k 1.8× 428 3.4× 43 1.9k
D.E. Bakken United States 14 470 0.5× 225 0.2× 653 0.9× 512 0.7× 217 1.7× 32 1.2k
Marios Iliofotou United States 17 198 0.2× 560 0.6× 1.1k 1.6× 114 0.2× 336 2.7× 24 1.4k
Rocky K. C. Chang Hong Kong 21 348 0.4× 857 0.9× 1.6k 2.3× 98 0.1× 156 1.2× 115 2.2k
Carol Fung United States 22 143 0.1× 656 0.7× 1.2k 1.7× 133 0.2× 424 3.4× 109 1.6k
Haotian Zhang Canada 15 192 0.2× 346 0.4× 752 1.1× 271 0.4× 117 0.9× 36 1.2k
Robert F. Mills United States 16 324 0.3× 290 0.3× 447 0.6× 94 0.1× 283 2.2× 83 983
Wei Song Canada 26 1.3k 1.4× 473 0.5× 1.5k 2.2× 238 0.3× 245 1.9× 164 2.5k
Marina Thottan United States 23 763 0.8× 547 0.6× 1.4k 1.9× 466 0.7× 184 1.5× 86 1.9k
Daniel Kroening United Kingdom 24 298 0.3× 1.1k 1.2× 318 0.5× 107 0.2× 311 2.5× 153 2.4k

Countries citing papers authored by Lalitha Sankar

Since Specialization
Citations

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

Fields of papers citing papers by Lalitha Sankar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lalitha Sankar

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

All Works

20 of 20 papers shown
1.
Sankar, Lalitha, et al.. (2025). Reveal-or-Obscure: A Differentially Private Sampling Algorithm for Discrete Distributions. 1–6. 1 indexed citations
2.
Asoodeh, Shahab, et al.. (2024). Differential-Privacy Capacity. 3053–3058. 1 indexed citations
3.
Sankar, Lalitha, et al.. (2024). Addressing GAN Training Instabilities via Tunable Classification Losses. IEEE Journal on Selected Areas in Information Theory. 5. 534–553. 9 indexed citations
4.
Sankar, Lalitha, et al.. (2024). Theoretical Guarantees of Data Augmented Last Layer Retraining Methods. 581–586. 1 indexed citations
5.
Anguluri, Rajasekhar, Oliver Kosut, & Lalitha Sankar. (2024). Identifying Edge Changes in Networks From Input and Output Covariance Data. IEEE Control Systems Letters. 8. 364–369. 1 indexed citations
6.
7.
Kosut, Oliver, et al.. (2024). An Adversarial Approach to Evaluating the Robustness of Event Identification Models. 327–332. 1 indexed citations
8.
Kosut, Oliver, et al.. (2024). Unifying Privacy Measures via Maximal (α, β)-Leakage (MαbeL). IEEE Transactions on Information Theory. 70(6). 4368–4395. 3 indexed citations
9.
Sankar, Lalitha, et al.. (2023). Generation of synthetic multi‐resolution time series load data. IET Smart Grid. 6(5). 492–502. 4 indexed citations
10.
Asoodeh, Shahab, et al.. (2023). Optimal Multidimensional Differentially Private Mechanisms in the Large-Composition Regime. 2195–2200. 2 indexed citations
11.
Anguluri, Rajasekhar, et al.. (2023). Source Localization in Linear Dynamical Systems using Subspace Model Identification. 104. 1016–1021. 1 indexed citations
12.
Asoodeh, Shahab, et al.. (2023). Schrödinger Mechanisms: Optimal Differential Privacy Mechanisms for Small Sensitivity. 2201–2206. 2 indexed citations
13.
Sankar, Lalitha, et al.. (2022). PMU Tracker: A Visualization Platform for Epicentric Event Propagation Analysis in the Power Grid. IEEE Transactions on Visualization and Computer Graphics. 29(1). 1–10. 7 indexed citations
14.
Kosut, Oliver, et al.. (2022). A Variational Formula for Infinity-Rényi Divergence with Applications to Information Leakage. 2022 IEEE International Symposium on Information Theory (ISIT). 2493–2498. 3 indexed citations
15.
Anguluri, Rajasekhar, Gautam Dasarathy, Oliver Kosut, & Lalitha Sankar. (2021). Grid Topology Identification With Hidden Nodes via Structured Norm Minimization. IEEE Control Systems Letters. 6. 1244–1249. 6 indexed citations
16.
Kairouz, Peter, et al.. (2021). Neural Network-based Estimation of the MMSE. 1023–1028. 2 indexed citations
17.
Liao, Jiachun, Lalitha Sankar, Oliver Kosut, & Flávio P. Calmon. (2019). Robustness of Maximal α-Leakage to Side Information. 642–646. 12 indexed citations
18.
Kosut, Oliver & Lalitha Sankar. (2017). Asymptotics and Non-Asymptotics for Universal Fixed-to-Variable Source Coding. IEEE Transactions on Information Theory. 63(6). 3757–3772. 18 indexed citations
19.
Sankar, Lalitha, Wade Trappe, Kannan Ramchandran, H. Vincent Poor, & Mérouane Debbah. (2013). The Role of Signal Processing in Meeting Privacy Challenges: An Overview. IEEE Signal Processing Magazine. 30(5). 95–106. 9 indexed citations
20.
Sankar, Lalitha, S. Raj Rajagopalan, & H. Vincent Poor. (2011). A Theory of Privacy and Utility in Databases. arXiv (Cornell University). 11 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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