Jonathan J. Hoch

16 total papers · 495 total citations
3 papers, 33 citations indexed

About

Jonathan J. Hoch is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jonathan J. Hoch has authored 3 papers receiving a total of 33 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Computer Networks and Communications and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Jonathan J. Hoch's work include Advanced Authentication Protocols Security (2 papers), Cryptography and Data Security (2 papers) and Internet Traffic Analysis and Secure E-voting (2 papers). Jonathan J. Hoch is often cited by papers focused on Advanced Authentication Protocols Security (2 papers), Cryptography and Data Security (2 papers) and Internet Traffic Analysis and Secure E-voting (2 papers). Jonathan J. Hoch collaborates with scholars based in Israel, Belgium and United States. Jonathan J. Hoch's co-authors include Iftach Haitner, Omer Reingold, Gil Segev, Sébastien Zimmer, Orr Dunkelman, John Kelsey, Elena Andreeva, Charles Bouillaguet, Pierre-Alain Fouque and Adi Shamir and has published in prestigious journals such as Journal of Cryptology.

In The Last Decade

Jonathan J. Hoch

2 papers receiving 31 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Jonathan J. Hoch	18	16	10	9	6	3	33
Victor Gabillon	22 1.2×	13 0.8×	10 1.0×	19 2.1×	5 0.8×	5	40
Laurent Péret	26 1.4×	12 0.8×	3 0.3×	8 0.9×	5 0.8×	4	43
E. Golobardes	20 1.1×	8 0.5×	4 0.4×	4 0.4×	3 0.5×	5	37
Jiechuan Jiang	47 2.6×	13 0.8×	6 0.6×	4 0.4×	6 1.0×	4	54
Michael Brautbar	23 1.3×	8 0.5×	7 0.7×	3 0.3×	7 1.2×	4	48
SV Silvia Nedea	11 0.6×	6 0.4×	5 0.5×	3 0.3×	10 1.7×	4	40
Zijun Lin	12 0.7×	6 0.4×	7 0.7×	6 0.7×		3	62
Doug Strain	31 1.7×	15 0.9×	10 1.0×	4 0.4×	14 2.3×	3	45
Christophe Lecoutre	12 0.7×	24 1.5×	4 0.4×	6 0.7×	9 1.5×	4	38
Wenlin Chen	26 1.4×	8 0.5×	8 0.8×	2 0.2×	5 0.8×	3	50

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).

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.

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

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

All Works

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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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