Nicolas Delfosse

18 papers receiving 555 citations

Peers

Nicolas Delfosse
Comparison fields: 5 of 41
  • Artificial Intelligence 497
  • Atomic and Molecular Physics, and Optics 276
  • Computational Theory and Mathematics 155
  • Electrical and Electronic Engineering 67
  • Computer Networks and Communications 54
Replace Benoît Valiron with:
Benoît Valiron France
Joshua Job United States
Aleksander Kubica United States
Aleks Kissinger United Kingdom
Oscar Higgott United Kingdom
Michael E. Beverland United States
Kishor Bharti Singapore
Thomas G. Wong United States
Nicholas Chancellor United Kingdom
James R. Wootton Switzerland
Nicolas Delfosse relative to Benoît Valiron France Benoît Valiron's profile →
Citations per field
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Citations per year

Countries citing papers authored by Nicolas Delfosse

Since Specialization
Citations

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

Fields of papers citing papers by Nicolas Delfosse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicolas Delfosse

This figure shows the co-authorship network connecting the top 25 collaborators of Nicolas Delfosse. A scholar is included among the top collaborators of Nicolas Delfosse 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 Nicolas Delfosse. Nicolas Delfosse is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1 2
2 0
3 4
4 32
5 19
6 47
7 28
8 2
9 22
10 46
11
Optimizing Quantum Error Correction Codes with Reinforcement Learning
95
12 39
13 79
14 66
15 2
16
Contextuality as a resource for qubit quantum computation
7
17 55
18 20
19 2

About Nicolas Delfosse

Nicolas Delfosse is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Computer Networks and Communications, having authored 19 papers that have together received 567 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (15 papers), Quantum Information and Cryptography (7 papers) and Error Correcting Code Techniques (5 papers). The work is most often cited by research in Artificial Intelligence (497 citations), Computational Theory and Mathematics (155 citations) and Atomic and Molecular Physics, and Optics (276 citations). Nicolas Delfosse has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Juan Bermejo-Vega, Dan E. Browne, Cihan Okay, Robert Raussendorf, Gilles Zémor, Michael E. Beverland, Vedran Dunjko, Nicolai Friis, Hendrik Poulsen Nautrup and Hans J. Briegel. Their work appears in journals such as Physical Review Letters, IEEE Transactions on Information Theory and Physical Review A.

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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