Jop Briët

662 citations
28 papers · 248 · h-index 8

Impact in

Papers in

Jop Briët

25 papers receiving 229 citations

Peers

Jop Briët
Comparison fields: 5 of 60
  • Computational Mathematics 6
  • Discrete Mathematics and Combinatorics 18
  • Computational Theory and Mathematics 77
  • Artificial Intelligence 151
  • Numerical Analysis 22
Replace Masayuki Noro with:
Masayuki Noro Japan
Frank Vallentin Netherlands
Bo-Ying Wang China
Minerva Catral United States
Adi Shraibman Israel
Marianna Bolla Hungary
Cao Huai-xin China
James R. Weaver United States
Ravi Montenegro United States
C. Freiling United States
Jop Briët relative to Masayuki Noro Japan Masayuki Noro's profile →
Citations per field
00.5×10×17×
Masayuki Noro · 1×
Citations per year

Countries citing papers authored by Jop Briët

Since Specialization
Citations

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

Fields of papers citing papers by Jop Briët

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jop Briët, 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 Jop Briët Line = papers co-authored together Jop Briët links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009128
2 201224
3 201121
4
201410
5 20148
6 20137
7 20127
8 20187
9 20196
10 20125
11 20114
12
Grothendieck Inequalities, Nonlocal Games and Optimization
20114
13
20193
14 20152
15 20162
16 20241
17
Quantum Computation and Information - Introduction to the Special Theme.
20181
18 20231
19 20171
20 20231

About Jop Briët

Jop Briët is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Discrete Mathematics and Combinatorics, Numerical Analysis and Atomic and Molecular Physics, and Optics, having authored 28 papers that have together received 248 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (10 papers), Coding theory and cryptography (8 papers), Complexity and Algorithms in Graphs (7 papers), Quantum Information and Cryptography (6 papers), Mathematical Approximation and Integration (5 papers), Quantum Mechanics and Applications (5 papers), Limits and Structures in Graph Theory (4 papers) and Cryptography and Data Security (3 papers). The work is most often cited by research in Computational Mathematics (6 citations), Discrete Mathematics and Combinatorics (18 citations), Computational Theory and Mathematics (77 citations), Artificial Intelligence (151 citations) and Numerical Analysis (22 citations). Jop Briët has collaborated with scholars based in Netherlands, United States and Singapore. Frequent co-authors include Peter Harremoës, Harry Buhrman, Ben Toner, David García-Soriano, Sivakanth Gopi, Dion Gijswijt, Sebastian Pokutta, Frank Vallentin, Daniel Dadush and Thomas Vidick. Their work appears in journals such as Theory of Computing, Quantum Information and Computation, Physical Review A, Operations Research Letters and Communications in Mathematical Physics.

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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