Milan Daniel
Impact in
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- Multi-Criteria Decision Making
- Artificial Intelligence top 5%
- Bayesian Modeling and Causal Inference
- Logic, Reasoning, and Knowledge
- AI-based Problem Solving and Planning
- Target Tracking and Data Fusion in Sensor Networks
Papers in
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- Bayesian Modeling and Causal Inference 19
- Logic, Reasoning, and Knowledge 18
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- Multi-Criteria Decision Making 24
- Co-authors
- Audun Jøsang (2 shared papers)P. Vannoorenberghe (1 shared paper)Petr Hájek (2 shared papers)Simon Pope (1 shared paper)Jiřina Vejnarová (1 shared paper)Radim Jiroušek (1 shared paper)Florentín Smarandache (1 shared paper)Jianbing Ma (1 shared paper)
In The Last Decade
Milan Daniel
35 papers receiving 372 citations
Peers
Comparison fields: 5 of 65
- Management Science and Operations Research 218
- Artificial Intelligence 315
- Statistics and Probability 32
- Computational Theory and Mathematics 62
- Statistics, Probability and Uncertainty 15
Countries citing papers authored by Milan Daniel
This map shows the geographic impact of Milan Daniel'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 Milan Daniel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Milan Daniel more than expected).
Fields of papers citing papers by Milan Daniel
This network shows the impact of papers produced by Milan Daniel. 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 Milan Daniel. The network helps show where Milan Daniel may publish in the future.
Co-authors
The 12 scholars most cited alongside Milan Daniel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 51 | |
| 2 | 2010 | 46 | |
| 3 | 2005 | 34 | |
| 4 | 1997 | 33 | |
| 5 | 2006 | 29 | |
| 6 | 2003 | 27 | |
| 7 | 2005 | 26 | |
| 8 | 2000 | 22 | |
| 9 | 2014 | 16 | |
| 10 | Compositional Models of Belief Functions | 2007 | 14 |
| 11 | 2013 | 13 | |
| 12 | 1995 | 12 | |
| 13 | 2004 | 11 | |
| 14 | 2006 | 10 | |
| 15 | On transformations of belief functions to probabilities: Research Articles | 2006 | 8 |
| 16 | Rethinking contexts, rereading texts : contributions from the social sciences to biblical interpretation | 2000 | 8 |
| 17 | ALGEBRAIC STRUCTURES RELATED TO THE COMBINATION OF BELIEF FUNCTIONS | 2004 | 8 |
| 18 | 2013 | 8 | |
| 19 | 2014 | 8 | |
| 20 | 2012 | 7 |
About Milan Daniel
Milan Daniel is a scholar working on Artificial Intelligence, Management Science and Operations Research, Computational Theory and Mathematics, Statistics and Probability and Mathematical Physics, having authored 37 papers that have together received 429 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (24 papers), Bayesian Modeling and Causal Inference (19 papers), Logic, Reasoning, and Knowledge (18 papers), Rough Sets and Fuzzy Logic (5 papers), Fuzzy Systems and Optimization (4 papers), Advanced Algebra and Logic (3 papers), Access Control and Trust (2 papers) and Advanced Mathematical Theories (2 papers). The work is most often cited by research in Management Science and Operations Research (218 citations), Artificial Intelligence (315 citations), Statistics and Probability (32 citations), Computational Theory and Mathematics (62 citations) and Statistics, Probability and Uncertainty (15 citations). Milan Daniel has collaborated with scholars based in Czechia, Vietnam and France. Frequent co-authors include Audun Jøsang, P. Vannoorenberghe, Petr Hájek, Simon Pope, Jiřina Vejnarová, Radim Jiroušek, Florentín Smarandache, Jianbing Ma, Jean Dezert and Tomáš Havránek. Their work appears in journals such as Kybernetika, International Journal of Intelligent Systems, Lecture notes in computer science, International Journal of Computational Intelligence Systems and Artificial Intelligence in Medicine.
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.