Simon Perdrix

1.7k citations
56 papers · 713 · h-index 15

Impact in

Papers in

Simon Perdrix

53 papers receiving 672 citations

Peers

Simon Perdrix
Comparison fields: 5 of 38
  • Artificial Intelligence 637
  • Atomic and Molecular Physics, and Optics 409
  • Computational Theory and Mathematics 208
  • Hardware and Architecture 19
  • Computational Mathematics 1
Replace Benoît Valiron with:
Benoît Valiron France
Mika Hirvensalo Finland
Noson S. Yanofsky United States
A. Shen United States
A. Kitaev United States
M. Vyalyi United States
Vlad Gheorghiu Canada
Anne Broadbent Canada
Nicolas Delfosse United States
Rajagopal Nagarajan United Kingdom
Simon Perdrix relative to Benoît Valiron France Benoît Valiron's profile →
Citations per field
00.5×1.5×
Benoît Valiron · 1×
Citations per year

Countries citing papers authored by Simon Perdrix

Since Specialization
Citations

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

Fields of papers citing papers by Simon Perdrix

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202094
2 200782
3 201057
4 200940
5 200435
6 200830
7 202129
8 201029
9 200824
10 201124
11 200923
12 201420
13 200717
14 200816
15 200914
16 200612
17 201411
18 201410
19 20069
20 20079

About Simon Perdrix

Simon Perdrix is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Computational Theory and Mathematics, Computer Networks and Communications and Electrical and Electronic Engineering, having authored 56 papers that have together received 713 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (43 papers), Quantum Information and Cryptography (32 papers), Quantum Mechanics and Applications (28 papers), Computability, Logic, AI Algorithms (10 papers), Logic, programming, and type systems (7 papers), Logic, Reasoning, and Knowledge (5 papers), Low-power high-performance VLSI design (4 papers) and Quantum-Dot Cellular Automata (4 papers). The work is most often cited by research in Artificial Intelligence (637 citations), Atomic and Molecular Physics, and Optics (409 citations), Computational Theory and Mathematics (208 citations), Hardware and Architecture (19 citations) and Computational Mathematics (1 citation). Simon Perdrix has collaborated with scholars based in France, United Kingdom and Canada. Frequent co-authors include Ross Duncan, Mehdi Mhalla, Elham Kashefi, Dan E. Browne, John van de Wetering, Aleks Kissinger, Bob Coecke, Emmanuel Jeandel, Quanlong Wang and Philippe Jorrand. Their work appears in journals such as Logical Methods in Computer Science, New Journal of Physics, Lecture notes in computer science, EPJ Quantum Technology and Journal of Physics A Mathematical and Theoretical.

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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