D. Dubois

644 total citations
4 papers, 305 citations indexed

About

D. Dubois is a scholar working on Computer Networks and Communications, Hardware and Architecture and Artificial Intelligence. According to data from OpenAlex, D. Dubois has authored 4 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Computer Networks and Communications, 1 paper in Hardware and Architecture and 1 paper in Artificial Intelligence. Recurrent topics in D. Dubois's work include Parallel Computing and Optimization Techniques (1 paper), Rough Sets and Fuzzy Logic (1 paper) and Advanced Data Storage Technologies (1 paper). D. Dubois is often cited by papers focused on Parallel Computing and Optimization Techniques (1 paper), Rough Sets and Fuzzy Logic (1 paper) and Advanced Data Storage Technologies (1 paper). D. Dubois collaborates with scholars based in United States. D. Dubois's co-authors include Henri Prade, Jérôme Lang, Sébastien Destercke, E. Chojnacki and Wu-chun Feng and has published in prestigious journals such as HAL (Le Centre pour la Communication Scientifique Directe) and Computing and Informatics / Computers and Artificial Intelligence.

In The Last Decade

D. Dubois

4 papers receiving 285 citations

Peers

D. Dubois
Comparison fields: 5 of 34
  • Artificial Intelligence 279
  • Computational Theory and Mathematics 105
  • Computer Networks and Communications 47
  • Management Science and Operations Research 35
  • Signal Processing 31
Replace Tian Sang with:
Tian Sang United States
María I. Sessa Italy
Ingo Glöckner Germany
M.E. Stickel United States
Paulo A. S. Veloso Brazil
Milan Daniel Czechia
Hubie Chen Spain
Ryuzo Hasegawa Japan
David García-Soriano Netherlands
Pascual Julián-Iranzo Spain
Tian Sang United States View profile →
Citations per field, relative to D. Dubois
D. Dubois · 1×
Citations per year, relative to D. Dubois
D. Dubois · 1×

Countries citing papers authored by D. Dubois

Since Specialization
Citations

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

Fields of papers citing papers by D. Dubois

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Dubois

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

All Works

4 of 4 papers shown
# Work Indexed citations
1
Relating practical representations of imprecise probabilities
5
2 2
3 296
4
Coping with uncertain knowledge
2

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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