Milan Daniel

614 citations
18 papers · 159 · h-index 8

Impact in

Papers in

Milan Daniel

17 papers receiving 129 citations

Peers

Milan Daniel
Comparison fields: 5 of 45
  • Management Science and Operations Research 76
  • Artificial Intelligence 111
  • Computational Theory and Mathematics 31
  • Religious studies 7
  • Statistics and Probability 10
Replace M. Rifqi with:
M. Rifqi France
Laurent Ughetto France
Mathieu Serrurier France
D. Dubois France
Germán Hernández Colombia
M.G. Karunambigai India
D. Dubois United States
Iwan Tri Riyadi Yanto Indonesia
Libor Běhounek Czechia
Patrick G. Clark United States
Milan Daniel relative to M. Rifqi France M. Rifqi's profile →
Citations per field
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M. Rifqi · 1×
Citations per year

Countries citing papers authored by Milan Daniel

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 10 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.

Border = papers with Milan Daniel Line = papers co-authored together Milan Daniel links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 200338
2 199725
3 200323
4 200622
5
Compositional Models of Belief Functions
200710
6
Rethinking contexts, rereading texts : contributions from the social sciences to biblical interpretation
20008
7 20067
8 20047
9
On transformations of belief functions to probabilities: Research Articles
20065
10
ALGEBRAIC STRUCTURES RELATED TO THE COMBINATION OF BELIEF FUNCTIONS
20044
11 20213
12
Contribution of DSm Approach to the Belief Function Theory
20081
13
The expert system shell EQUANT-PC: brief information.
19891
14
Classical Belief Conditioning and its Generalization to DSm Theory
20081
15 20191
16 20151
17
A Generalization of the minC Combination to DSm Hyper-power Sets
20061
18 20201

About Milan Daniel

Milan Daniel is a scholar working on Artificial Intelligence, Management Science and Operations Research, Computational Theory and Mathematics, Mathematical Physics and Statistics and Probability, having authored 18 papers that have together received 159 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (11 papers), Bayesian Modeling and Causal Inference (8 papers), Logic, Reasoning, and Knowledge (7 papers), Fuzzy Systems and Optimization (2 papers), Advanced Mathematical Theories (2 papers), Rough Sets and Fuzzy Logic (2 papers), Fuzzy Logic and Control Systems (1 paper) and Transportation and Mobility Innovations (1 paper). The work is most often cited by research in Management Science and Operations Research (76 citations), Artificial Intelligence (111 citations), Computational Theory and Mathematics (31 citations), Religious studies (7 citations) and Statistics and Probability (10 citations). Milan Daniel has collaborated with scholars based in Czechia, Vietnam and France. Frequent co-authors include Audun Jøsang, P. Vannoorenberghe, Petr Hájek, Radim Jiroušek, Jiřina Vejnarová, Florentín Smarandache, Jean Dezert, Ivan Kramosil, Ondrej Přibyl and Tomáš Havránek. Their work appears in journals such as Kybernetika, International Journal of Intelligent Systems, Artificial Intelligence in Medicine, Soft Computing and Information Fusion.

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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