Jan Pelzl

93 total papers · 2.6k total citations
25 papers, 1.1k citations indexed

About

Jan Pelzl is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jan Pelzl has authored 25 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 14 papers in Information Systems and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jan Pelzl's work include Cryptography and Residue Arithmetic (13 papers), Cryptographic Implementations and Security (9 papers) and Cryptography and Data Security (9 papers). Jan Pelzl is often cited by papers focused on Cryptography and Residue Arithmetic (13 papers), Cryptographic Implementations and Security (9 papers) and Cryptography and Data Security (9 papers). Jan Pelzl collaborates with scholars based in Germany, Slovakia and France. Jan Pelzl's co-authors include Christof Paar, Christof Paar, Thomas Wollinger, Manfred Schimmler, Jorge Guajardo, Sandeep S. Kumar, Andy Rupp, Andrey Bogdanov, Tim Güneysu and Çetin Kaya Koç and has published in prestigious journals such as IEEE Transactions on Computers, IEEE Transactions on Magnetics and ACM Transactions on Embedded Computing Systems.

In The Last Decade

Jan Pelzl

23 papers receiving 1.0k citations

Hit Papers

Understanding Cryptography 2009 2026 2014 2020 2009 2009 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Jan Pelzl 719 416 370 251 198 25 1.1k
Liang Xiong 562 0.8× 299 0.7× 483 1.3× 349 1.4× 180 0.9× 39 1.4k
Arjen K. Lenstra 1.0k 1.4× 282 0.7× 560 1.5× 292 1.2× 170 0.9× 55 1.4k
J.-J. Quisquater 696 1.0× 401 1.0× 390 1.1× 216 0.9× 102 0.5× 29 1.0k
Md. Mostofa Ali Patwary 541 0.8× 461 1.1× 307 0.8× 352 1.4× 63 0.3× 28 1.1k
Damien Stehlé 694 1.0× 152 0.4× 283 0.8× 204 0.8× 274 1.4× 33 1.1k
Tanja Lange 1.2k 1.6× 290 0.7× 627 1.7× 269 1.1× 136 0.7× 44 1.4k
Da Zheng 609 0.8× 411 1.0× 170 0.5× 199 0.8× 77 0.4× 42 913
Xavier Boyen 942 1.3× 204 0.5× 552 1.5× 294 1.2× 166 0.8× 41 1.3k
Kexin Pei 890 1.2× 258 0.6× 366 1.0× 208 0.8× 102 0.5× 19 1.4k
Samyam Rajbhandari 645 0.9× 407 1.0× 127 0.3× 236 0.9× 124 0.6× 22 1.2k

Countries citing papers authored by Jan Pelzl

Since Specialization
Citations

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

Fields of papers citing papers by Jan Pelzl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Pelzl

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Pelzl. A scholar is included among the top collaborators of Jan Pelzl 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 Jan Pelzl. Jan Pelzl 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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