Francisco Claude

51 total papers · 1.4k total citations
21 papers, 342 citations indexed

About

Francisco Claude is a scholar working on Artificial Intelligence, Computer Networks and Communications and Molecular Biology. According to data from OpenAlex, Francisco Claude has authored 21 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 6 papers in Computer Networks and Communications and 6 papers in Molecular Biology. Recurrent topics in Francisco Claude's work include Algorithms and Data Compression (15 papers), Natural Language Processing Techniques (6 papers) and Network Packet Processing and Optimization (4 papers). Francisco Claude is often cited by papers focused on Algorithms and Data Compression (15 papers), Natural Language Processing Techniques (6 papers) and Network Packet Processing and Optimization (4 papers). Francisco Claude collaborates with scholars based in Chile, Canada and Spain. Francisco Claude's co-authors include Gonzalo Navarro, Antonio Fariña, Miguel A. Martínez‐Prieto, Nieves R. Brisaboa, Susana Ladra, Jérémy Barbay, Rodrigo Cánovas, Travis Gagie, Yakov Nekrich and Stéphane Durocher and has published in prestigious journals such as Information Processing & Management, Theoretical Computer Science and ACM Transactions on Information Systems.

In The Last Decade

Francisco Claude

20 papers receiving 328 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Francisco Claude 264 101 95 73 71 21 342
Antonio Fariña 248 0.9× 108 1.1× 104 1.1× 45 0.6× 66 0.9× 42 338
Guy Jacobson 164 0.6× 136 1.3× 35 0.4× 36 0.5× 55 0.8× 15 328
Douglas C. Schmidt 188 0.7× 134 1.3× 72 0.8× 31 0.4× 101 1.4× 21 384
Jérémy Barbay 229 0.9× 111 1.1× 81 0.9× 60 0.8× 15 0.2× 31 320
Peter Fenwick 276 1.0× 98 1.0× 113 1.2× 48 0.7× 13 0.2× 31 351
Owen Kaser 222 0.8× 229 2.3× 60 0.6× 22 0.3× 94 1.3× 31 377
Daniele Paolo Scarpazza 179 0.7× 182 1.8× 51 0.5× 43 0.6× 38 0.5× 23 368
M. J. R. Shave 127 0.5× 116 1.1× 29 0.3× 13 0.2× 42 0.6× 22 314
S. S. Yau 71 0.3× 99 1.0× 87 0.9× 13 0.2× 50 0.7× 18 295
Matthias Petri 219 0.8× 107 1.1× 82 0.9× 44 0.6× 58 0.8× 35 296

Countries citing papers authored by Francisco Claude

Since Specialization
Citations

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

Fields of papers citing papers by Francisco Claude

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francisco Claude

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

All Works

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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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