Sameer Wagh

1.2k total citations
13 papers, 545 citations indexed

About

Sameer Wagh is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Sameer Wagh has authored 13 papers receiving a total of 545 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 2 papers in Computer Networks and Communications and 2 papers in Information Systems. Recurrent topics in Sameer Wagh's work include Cryptography and Data Security (8 papers), Privacy-Preserving Technologies in Data (8 papers) and Internet Traffic Analysis and Secure E-voting (5 papers). Sameer Wagh is often cited by papers focused on Cryptography and Data Security (8 papers), Privacy-Preserving Technologies in Data (8 papers) and Internet Traffic Analysis and Secure E-voting (5 papers). Sameer Wagh collaborates with scholars based in United States, India and Israel. Sameer Wagh's co-authors include Divya Gupta, Nishanth Chandran, Prateek Mittal, Eyal Kushilevitz, Fabrice Benhamouda, Tal Rabin, Shruti Tople, Mayank Rathee, Raluca Ada Popa and Liwei Song and has published in prestigious journals such as SHILAP Revista de lepidopterología, Communications of the ACM and Indian Journal of Medical Sciences.

In The Last Decade

Sameer Wagh

13 papers receiving 526 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sameer Wagh United States	10	481	84	50	47	45	13	545
Geetha Jagannathan United States	7	428 0.9×	94 1.1×	48 1.0×	43 0.9×	23 0.5×	11	485
Kazuma Ohara Japan	8	332 0.7×	78 0.9×	41 0.8×	43 0.9×	34 0.8×	17	367
Toshinori Araki Japan	7	331 0.7×	67 0.8×	47 0.9×	98 2.1×	42 0.9×	19	408
Siri Krishan Wasan India	7	170 0.4×	84 1.0×	15 0.3×	33 0.7×	38 0.8×	18	287
Ariel Nof Israel	9	408 0.8×	129 1.5×	38 0.8×	63 1.3×	34 0.8×	13	448
Jianghua Liu China	7	236 0.5×	221 2.6×	23 0.5×	73 1.6×	10 0.2×	16	312
Hyo-Sang Lim South Korea	10	172 0.4×	97 1.2×	18 0.4×	200 4.3×	21 0.5×	28	366
Changhee Hahn South Korea	11	249 0.5×	177 2.1×	26 0.5×	90 1.9×	25 0.6×	37	323
Ahmed Salem China	7	282 0.6×	34 0.4×	48 1.0×	47 1.0×	27 0.6×	17	334
Ni Trieu United States	8	356 0.7×	74 0.9×	23 0.5×	44 0.9×	18 0.4×	19	394

Countries citing papers authored by Sameer Wagh

Since Specialization

Citations

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

Fields of papers citing papers by Sameer Wagh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sameer Wagh

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

All Works

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13 of 13 papers shown

1.

Rathee, Mayank, et al.. (2023). ELSA: Secure Aggregation for Federated Learning with Malicious Actors. 1961–1979. 56 indexed citations

2.

Song, Liwei, et al.. (2022). Athena: Probabilistic Verification of Machine Unlearning. Proceedings on Privacy Enhancing Technologies. 2022(3). 268–290. 33 indexed citations

3.

Wagh, Sameer. (2022). Pika: Secure Computation using Function Secret Sharing over Rings. Proceedings on Privacy Enhancing Technologies. 2022(4). 351–377. 9 indexed citations

4.

Wagh, Sameer, Shruti Tople, Fabrice Benhamouda, et al.. (2021). Falcon: Honest-Majority Maliciously Secure Framework for Private Deep Learning. SHILAP Revista de lepidopterología. 116 indexed citations

5.

Wagh, Sameer, Xi He, Ashwin Machanavajjhala, & Prateek Mittal. (2021). DP-cryptography. Communications of the ACM. 64(2). 84–93. 21 indexed citations

6.

Wagh, Sameer. (2020). New Directions in Efficient Privacy-Preserving Machine Learning. 3 indexed citations

7.

Wagh, Sameer, Divya Gupta, & Nishanth Chandran. (2019). SecureNN: 3-Party Secure Computation for Neural Network Training. SHILAP Revista de lepidopterología. 2019(3). 26–49. 218 indexed citations

8.

Sun, Yixin, et al.. (2019). DPSelect: A Differential Privacy Based Guard Relay Selection Algorithm for Tor. SHILAP Revista de lepidopterología. 2019(2). 166–186. 7 indexed citations

9.

Johnson, Aaron, et al.. (2019). Guard Placement Attacks on Path Selection Algorithms for Tor. SHILAP Revista de lepidopterología. 2019(4). 272–291. 13 indexed citations

10.

Wagh, Sameer, Paul Cuff, & Prateek Mittal. (2018). Differentially Private Oblivious RAM. SHILAP Revista de lepidopterología. 2018(4). 64–84. 12 indexed citations

11.

Zhou, Yanqi, Sameer Wagh, Prateek Mittal, & David Wentzlaff. (2017). Camouflage: Memory Traffic Shaping to Mitigate Timing Attacks. 337–348. 27 indexed citations

12.

Wagh, Sameer, et al.. (2011). Secure data transmission using steganography based data hiding in TCP/IP. 974–974. 8 indexed citations

13.

Bavdekar, Sandeep B, Nithya Gogtay, & Sameer Wagh. (2008). Reporting ethical processes in two Indian journals. Indian Journal of Medical Sciences. 62(4). 134–134. 22 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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