Chris Peikert

15.1k citations
32 papers · 1.7k · 2 hit papers · h-index 17

Impact in

Papers in

Chris Peikert

31 papers receiving 1.6k citations

Chris Peikert's Hit Papers

CraterLake 2022 · 117 citations
1170+4+8Years since publication100200300

Peers

Chris Peikert
Comparison fields: 5 of 52
  • Artificial Intelligence 1.5k
  • Computational Theory and Mathematics 567
  • Information Systems 464
  • Computer Vision and Pattern Recognition 310
  • Computer Networks and Communications 249
Replace Yuval Ishai with:
Yuval Ishai Israel
Arjen K. Lenstra United States
Tal Rabin United States
René Peralta United States
Eli Ben‐Sasson Israel
Ronald Cramer Netherlands
Michael J. Wiener Canada
S. Goldwasser United States
Yael Tauman Kalai United States
Ron Steinfeld Australia
Chris Peikert relative to Yuval Ishai Israel Yuval Ishai's profile →
Citations per field
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Citations per year

Countries citing papers authored by Chris Peikert

Since Specialization
Citations

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

Fields of papers citing papers by Chris Peikert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chris Peikert, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chris Peikert Line = papers co-authored together Chris Peikert links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1
On Ideal Lattices and Learning with Errors over Rings
Hit paper breakdown →
2013394
2 2009288
3 2010185
4 2011129
5
CraterLake
Hit paper breakdown →
2022117
6 201688
7 200961
8 200955
9 200851
10 201742
11 200438
12 201137
13
Robustness of the Learning with Errors Assumption
201029
14 201825
15 201424
16 200823
17 200322
18 201216
19 201315
20 20109

About Chris Peikert

Chris Peikert is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Information Systems, Computer Networks and Communications and Electrical and Electronic Engineering, having authored 32 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cryptography and Data Security (27 papers), Complexity and Algorithms in Graphs (17 papers), Cryptographic Implementations and Security (9 papers), Coding theory and cryptography (6 papers), Cryptography and Residue Arithmetic (5 papers), Privacy-Preserving Technologies in Data (5 papers), graph theory and CDMA systems (3 papers) and Chaos-based Image/Signal Encryption (2 papers). The work is most often cited by research in Artificial Intelligence (1.5k citations), Computational Theory and Mathematics (567 citations), Information Systems (464 citations), Computer Vision and Pattern Recognition (310 citations) and Computer Networks and Communications (249 citations). Chris Peikert has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Oded Regev, Vadim Lyubashevsky, Joël Alwen, Eike Kiltz, David M. Cash, Dennis Hofheinz, Craig Gentry, Abhi Shelat, Vinod Vaikuntanathan and Daniel Dadush. Their work appears in journals such as Journal of Cryptology, Theory of Computing Systems, Journal of the ACM, Computational Complexity and IEEE Transactions on Information Theory.

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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