Paul-André Monney

625 citations
16 papers · 299 · h-index 9

Impact in

Papers in

Paul-André Monney

15 papers receiving 276 citations

Peers

Paul-André Monney
Comparison fields: 5 of 57
  • Management Science and Operations Research 96
  • Artificial Intelligence 201
  • Statistics, Probability and Uncertainty 43
  • Software 20
  • General Decision Sciences 7
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Andrés Cano Spain
Jiří Vomlel Czechia
Denis Deratani Mauá Brazil
Kurt Weichselberger Germany
Mohammad Reza Rajati United States
E.E. Kerre Belgium
Alessandro Antonucci Switzerland
Orakanya Kanjanatarakul Thailand
S.D. Hill United States
Alain Appriou France
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Citations per year

Countries citing papers authored by Paul-André Monney

Since Specialization
Citations

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

Fields of papers citing papers by Paul-André Monney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul-André Monney. 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 Paul-André Monney. The network helps show where Paul-André Monney may publish in the future.

Co-authors

The 5 scholars most cited alongside Paul-André Monney, 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 Paul-André Monney Line = papers co-authored together Paul-André Monney links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1
A Mathematical Theory of Hints: An Approach to the Dempster-Shafer Theory of Evidence
1995107
2 199562
3 199831
4 199426
5 200313
6 200711
7 19969
8 20079
9 20039
10 20097
11 19915
12 19994
13 20043
14 20032
15 20111
16 20130

About Paul-André Monney

Paul-André Monney is a scholar working on Artificial Intelligence, Management Science and Operations Research, Computational Theory and Mathematics, Computer Networks and Communications and General Decision Sciences, having authored 16 papers that have together received 299 indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (11 papers), AI-based Problem Solving and Planning (9 papers), Multi-Criteria Decision Making (7 papers), Rough Sets and Fuzzy Logic (4 papers), Logic, Reasoning, and Knowledge (2 papers), Semantic Web and Ontologies (2 papers), Formal Methods in Verification (1 paper) and Decision-Making and Behavioral Economics (1 paper). The work is most often cited by research in Management Science and Operations Research (96 citations), Artificial Intelligence (201 citations), Statistics, Probability and Uncertainty (43 citations), Software (20 citations) and General Decision Sciences (7 citations). Paul-André Monney has collaborated with scholars based in Switzerland and United States. Frequent co-authors include Jürg Kohlas, J. Kohlas, Rolf Haenni, Hans Wolfgang Brachinger and Enrique H. Ruspini. Their work appears in journals such as International Journal of Approximate Reasoning, International Journal of Intelligent Systems, Mathematical Methods of Operations Research, Artificial Intelligence and International Journal of Uncertainty Fuzziness and Knowledge-Based Systems.

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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