Daniel A. Charlebois

64 total papers · 650 total citations
38 papers, 373 citations indexed

About

Daniel A. Charlebois is a scholar working on Molecular Biology, Artificial Intelligence and Genetics. According to data from OpenAlex, Daniel A. Charlebois has authored 38 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 15 papers in Artificial Intelligence and 10 papers in Genetics. Recurrent topics in Daniel A. Charlebois's work include Gene Regulatory Network Analysis (16 papers), AI-based Problem Solving and Planning (11 papers) and Evolution and Genetic Dynamics (10 papers). Daniel A. Charlebois is often cited by papers focused on Gene Regulatory Network Analysis (16 papers), AI-based Problem Solving and Planning (11 papers) and Evolution and Genetic Dynamics (10 papers). Daniel A. Charlebois collaborates with scholars based in Canada, United States and Russia. Daniel A. Charlebois's co-authors include Gábor Balázsi, Mads Kærn, Nezar Abdennur, Dmitry Nevozhay, D.G. Goodenough, Stan Matwin, Mariola Szenk, Joseph Cohen, Kevin Hauser and Shamanth A. Shankarnarayan and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Physical Review Letters.

In The Last Decade

Daniel A. Charlebois

33 papers receiving 366 citations

Author Peers

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

Author Last Decade Papers Cites
Daniel A. Charlebois 265 106 35 25 24 38 373
Alida Palmisano 268 1.0× 35 0.3× 24 0.7× 4 0.2× 37 1.5× 32 367
Marco Gherardi 101 0.4× 53 0.5× 66 1.9× 7 0.3× 13 0.5× 39 354
Li Su 283 1.1× 46 0.4× 42 1.2× 12 0.5× 70 2.9× 26 435
Ruoshi Yuan 228 0.9× 29 0.3× 10 0.3× 35 1.4× 16 0.7× 31 411
David Murrugarra 273 1.0× 54 0.5× 16 0.5× 26 1.0× 12 0.5× 32 353
Kieran Alden 164 0.6× 38 0.4× 21 0.6× 32 1.3× 11 0.5× 28 394
Marco Frasca 185 0.7× 19 0.2× 102 2.9× 10 0.4× 22 0.9× 31 364
Satya N.V. Arjunan 290 1.1× 58 0.5× 32 0.9× 18 0.7× 3 0.1× 18 368
Sergey Aksenov 236 0.9× 69 0.7× 11 0.3× 19 0.8× 19 0.8× 24 406
Xiaoguang Li 220 0.8× 29 0.3× 9 0.3× 16 0.6× 18 0.8× 23 340

Countries citing papers authored by Daniel A. Charlebois

Since Specialization
Citations

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

Fields of papers citing papers by Daniel A. Charlebois

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel A. Charlebois. 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 Daniel A. Charlebois. The network helps show where Daniel A. Charlebois may publish in the future.

Co-authorship network of co-authors of Daniel A. Charlebois

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel A. Charlebois. A scholar is included among the top collaborators of Daniel A. Charlebois 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 Daniel A. Charlebois. Daniel A. Charlebois 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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2026