Jonathan J. Hoch

About

Jonathan J. Hoch is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jonathan J. Hoch has authored 2 papers receiving a total of 21 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Electrical and Electronic Engineering and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Jonathan J. Hoch’s work include Cryptography and Data Security (1 paper), Cryptographic Implementations and Security (1 paper) and Chaos-based Image/Signal Encryption (1 paper). Jonathan J. Hoch is often cited by papers focused on Cryptography and Data Security (1 paper), Cryptographic Implementations and Security (1 paper) and Chaos-based Image/Signal Encryption (1 paper). Jonathan J. Hoch collaborates with scholars based in United States, Israel and Belgium. Jonathan J. Hoch's co-authors include Pierre-Alain Fouque, John Kelsey, Iftach Haitner, Elena Andreeva, Sébastien Zimmer, Adi Shamir, Gil Segev, Omer Reingold, Orr Dunkelman and Charles Bouillaguet and has published in prestigious journals such as SIAM Journal on Computing and Journal of Cryptology.

In The Last Decade

Co-authorship network of co-authors of Jonathan J. Hoch i

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Fields of papers citing papers by Jonathan J. Hoch

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan J. Hoch. 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 Jonathan J. Hoch. The network helps show where Jonathan J. Hoch may publish in the future.

Countries citing papers authored by Jonathan J. Hoch

Since Specialization

Citations

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

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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