Raphaël Clifford

1.4k citations
59 papers · 709 · h-index 14

Impact in

    • Algorithms and Data Compression
    • Quantum Information and Cryptography
    • Machine Learning and Algorithms
    • Quantum Computing Algorithms and Architecture
    • Network Packet Processing and Optimization

Papers in

Raphaël Clifford

56 papers receiving 679 citations

Peers

Raphaël Clifford
Comparison fields: 5 of 83
  • Artificial Intelligence 505
  • Hardware and Architecture 94
  • Computational Theory and Mathematics 211
  • Signal Processing 77
  • Computer Graphics and Computer-Aided Design 21
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Citations per field
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Citations per year

Countries citing papers authored by Raphaël Clifford

Since Specialization
Citations

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

Fields of papers citing papers by Raphaël Clifford

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017100
2
ACM-SIAM Symposium on Discrete Algorithms
201599
3 200660
4
Proceedings of the 20th Annual Symposium on Combinatorial Pattern Matching (CPM)
200933
5 200529
6 200928
7 200424
8 200722
9 200622
10 200918
11 200318
12 201114
13 200914
14 201313
15 200713
16 201013
17 200912
18 200011
19 200810
20 20049

About Raphaël Clifford

Raphaël Clifford is a scholar working on Artificial Intelligence, Molecular Biology, Computational Theory and Mathematics, Signal Processing and Hardware and Architecture, having authored 59 papers that have together received 709 indexed citations. Recurring topics across this work include Algorithms and Data Compression (46 papers), DNA and Biological Computing (21 papers), semigroups and automata theory (16 papers), Machine Learning and Algorithms (10 papers), Network Packet Processing and Optimization (8 papers), Music and Audio Processing (7 papers), Complexity and Algorithms in Graphs (5 papers) and Handwritten Text Recognition Techniques (3 papers). The work is most often cited by research in Artificial Intelligence (505 citations), Hardware and Architecture (94 citations), Computational Theory and Mathematics (211 citations), Signal Processing (77 citations) and Computer Graphics and Computer-Aided Design (21 citations). Raphaël Clifford has collaborated with scholars based in United Kingdom, Israel and United States. Frequent co-authors include Benjamin Sach, Peter Clifford, Markus Jalsenius, Ely Porat, Klim Efremenko, Costas S. Iliopoulos, Ashley Montanaro, Alex Neville, Patrick M. Birchall and Eric R. Johnston. Their work appears in journals such as Information and Computation, Lecture notes in computer science, Bioinformatics, International Journal of Computational Methods and Soft Computing.

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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