C. P. Schnorr

148 total papers · 11.4k total citations
56 papers, 3.9k citations indexed

About

C. P. Schnorr is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Information Systems. According to data from OpenAlex, C. P. Schnorr has authored 56 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Artificial Intelligence, 32 papers in Computational Theory and Mathematics and 12 papers in Information Systems. Recurrent topics in C. P. Schnorr's work include Coding theory and cryptography (26 papers), Computability, Logic, AI Algorithms (14 papers) and Cryptography and Data Security (14 papers). C. P. Schnorr is often cited by papers focused on Coding theory and cryptography (26 papers), Computability, Logic, AI Algorithms (14 papers) and Cryptography and Data Security (14 papers). C. P. Schnorr collaborates with scholars based in Germany, United States and Israel. C. P. Schnorr's co-authors include Adi Shamir, Joos Heintz, Benny Chor, Oded Goldreich, H. W. Lenstra, J. M. Pollard, Johan Håstad, Jeffrey C. Lagarias, Silvio Micali and Adi Shamir and has published in prestigious journals such as IEEE Transactions on Information Theory, Mathematics of Computation and Information Sciences.

In The Last Decade

C. P. Schnorr

56 papers receiving 3.4k citations

Hit Papers

Efficient signature gener... 1991 2026 2002 2014 1991 1994 400 800 1.2k

Author Peers

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

Author Last Decade Papers Cites
C. P. Schnorr 2.6k 1.4k 1.1k 955 773 56 3.9k
Salil Vadhan 3.1k 1.2× 1.7k 1.2× 890 0.8× 457 0.5× 439 0.6× 138 4.3k
Michael Ben-Or 3.3k 1.2× 1.8k 1.3× 1.3k 1.1× 715 0.7× 306 0.4× 52 4.5k
Boaz Barak 2.5k 1.0× 1.8k 1.3× 709 0.6× 290 0.3× 364 0.5× 77 4.1k
Miklós Ajtai 2.5k 0.9× 2.5k 1.7× 1.0k 0.9× 353 0.4× 505 0.7× 85 4.3k
Charles Rackoff 2.6k 1.0× 1.5k 1.1× 788 0.7× 710 0.7× 225 0.3× 40 3.5k
Don Coppersmith 2.4k 0.9× 2.2k 1.6× 1.6k 1.4× 552 0.6× 891 1.2× 106 5.5k
Márió Szegedy 3.2k 1.2× 3.3k 2.3× 1.5k 1.4× 273 0.3× 356 0.5× 84 5.3k
Ian F. Blake 2.5k 0.9× 502 0.4× 983 0.9× 1.6k 1.6× 1.1k 1.4× 130 3.7k
Elwyn R. Berlekamp 2.8k 1.1× 1.4k 1.0× 1.5k 1.3× 456 0.5× 1.7k 2.2× 77 4.3k
Johan Håstad 2.4k 0.9× 2.8k 1.9× 1.2k 1.1× 222 0.2× 515 0.7× 111 4.6k

Countries citing papers authored by C. P. Schnorr

Since Specialization
Citations

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

Fields of papers citing papers by C. P. Schnorr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. P. Schnorr. 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 C. P. Schnorr. The network helps show where C. P. Schnorr may publish in the future.

Co-authorship network of co-authors of C. P. Schnorr

This figure shows the co-authorship network connecting the top 25 collaborators of C. P. Schnorr. A scholar is included among the top collaborators of C. P. Schnorr 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 C. P. Schnorr. C. P. Schnorr 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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