Ben Fisch

1.5k total citations
6 papers, 123 citations indexed

About

Ben Fisch is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Ben Fisch has authored 6 papers receiving a total of 123 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in Information Systems and 1 paper in Computer Networks and Communications. Recurrent topics in Ben Fisch's work include Cryptography and Data Security (6 papers), Cloud Data Security Solutions (3 papers) and Security and Verification in Computing (2 papers). Ben Fisch is often cited by papers focused on Cryptography and Data Security (6 papers), Cloud Data Security Solutions (3 papers) and Security and Verification in Computing (2 papers). Ben Fisch collaborates with scholars based in United States and Canada. Ben Fisch's co-authors include Dan Boneh, Dhinakaran Vinayagamurthy, S. Gorbunov, Vladimir Kolesnikov, Steven M. Bellovin, Tal Malkin, Binh Vo, Abishek Kumarasubramanian, Stefano Tessaro and Ari Juels and has published in prestigious journals such as Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security.

In The Last Decade

Ben Fisch

5 papers receiving 120 citations

Peers

Ben Fisch
Saba Eskandarian United States
Xujie Si United States
Mary Maller United Kingdom
Julian Loss Germany
Khoa Nguyen Singapore
Ben Fisch
Citations per year, relative to Ben Fisch Ben Fisch (= 1×) peers Dhinakaran Vinayagamurthy

Countries citing papers authored by Ben Fisch

Since Specialization
Citations

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

Fields of papers citing papers by Ben Fisch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ben Fisch

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

All Works

6 of 6 papers shown
1.
Boneh, Dan, Benedikt Bünz, & Ben Fisch. (2024). A Survey of Two Verifiable Delay Functions Using Proof of Exponentiation. 1 indexed citations
2.
Fisch, Ben, et al.. (2024). ThorPIR: Single Server PIR via Homomorphic Thorp Shuffles. 1448–1462.
3.
Fisch, Ben, et al.. (2022). VeRSA. Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security. 2793–2807. 4 indexed citations
4.
Cecchetti, Ethan, Ben Fisch, Ian Miers, & Ari Juels. (2019). PIEs. 1351–1367. 5 indexed citations
5.
Fisch, Ben, Dhinakaran Vinayagamurthy, Dan Boneh, & S. Gorbunov. (2017). IRON. 765–782. 73 indexed citations
6.
Fisch, Ben, Binh Vo, Abishek Kumarasubramanian, et al.. (2015). Malicious-Client Security in Blind Seer: A Scalable Private DBMS. 395–410. 40 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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