Daniel M. Dubois

82 papers and 569 indexed citations i.

About

Daniel M. Dubois is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Daniel M. Dubois has authored 82 papers receiving a total of 569 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Statistical and Nonlinear Physics, 13 papers in Artificial Intelligence and 13 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Daniel M. Dubois’s work include Quantum Mechanics and Applications (9 papers), Computability, Logic, AI Algorithms (7 papers) and Complex Systems and Decision Making (6 papers). Daniel M. Dubois is often cited by papers focused on Quantum Mechanics and Applications (9 papers), Computability, Logic, AI Algorithms (7 papers) and Complex Systems and Decision Making (6 papers). Daniel M. Dubois collaborates with scholars based in Belgium, Canada and France. Daniel M. Dubois's co-authors include Gérard Favier, Jean Trichet, Jean‐François Remacle, Loet Leydesdorff, Jacques Thorez, J. Lang, W. Steenaart, Adel F. Antippa, Matthew G. Baring and Erik Trell and has published in prestigious journals such as Water Research, Automatica and Soil Biology and Biochemistry.

In The Last Decade

Co-authorship network of co-authors of Daniel M. Dubois i

Fields of papers citing papers by Daniel M. Dubois

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel M. Dubois

Since Specialization
Citations

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

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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