David Harmanec

740 citations
19 papers · 405 · h-index 11

Impact in

Papers in

David Harmanec

19 papers receiving 385 citations

Peers

David Harmanec
Comparison fields: 5 of 63
  • Management Science and Operations Research 208
  • Artificial Intelligence 278
  • Computational Theory and Mathematics 126
  • Statistics and Probability 60
  • General Decision Sciences 11
Replace Alessandro Antonucci with:
Alessandro Antonucci Switzerland
Juan Vicente Riera Spain
Mikel Sesma‐Sara Spain
Qianli Zhou China
Relu Patrascu Canada
Jiří Vomlel Czechia
Xiaolong Xin China
Roberto Torres United States
A. S. Ranadive India
Prasenjit Mandal India
David Harmanec relative to Alessandro Antonucci Switzerland Alessandro Antonucci's profile →
Citations per field
00.5×1.5×2.2×
Alessandro Antonucci · 1×
Citations per year

Countries citing papers authored by David Harmanec

Since Specialization
Citations

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

Fields of papers citing papers by David Harmanec

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside David Harmanec, 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 David Harmanec Line = papers co-authored together David Harmanec links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 1994152
2 199748
3 199629
4 199326
5 199423
6 200220
7 199619
8 199419
9 199615
10 199613
11
Decision analytic approach to severe head injury management.
199911
12 20137
13
Uncertainty in Dempster-Shafer theory
19976
14
A Generalization of the Concept of Markov Decision Process to Imprecise Probabilities.
19994
15 19974
16 19973
17 19943
18 20022
19 19921

About David Harmanec

David Harmanec is a scholar working on Artificial Intelligence, Management Science and Operations Research, Computational Theory and Mathematics, Statistical and Nonlinear Physics and Statistics and Probability, having authored 19 papers that have together received 405 indexed citations. Recurring topics across this work include Logic, Reasoning, and Knowledge (7 papers), Multi-Criteria Decision Making (7 papers), Bayesian Modeling and Causal Inference (5 papers), Advanced Algebra and Logic (4 papers), Semantic Web and Ontologies (3 papers), AI-based Problem Solving and Planning (3 papers), Statistical Mechanics and Entropy (2 papers) and Fuzzy Systems and Optimization (2 papers). The work is most often cited by research in Management Science and Operations Research (208 citations), Artificial Intelligence (278 citations), Computational Theory and Mathematics (126 citations), Statistics and Probability (60 citations) and General Decision Sciences (11 citations). David Harmanec has collaborated with scholars based in United States, Italy and Singapore. Frequent co-authors include George J. Klir, Germano Resconi, Zhenyuan Wang, Pan Yin, Zhenyuan Wang, Petr Hájek, Tze-Yun Leong, Ivan Ng, Kim Leng Poh and Thomas Lew. Their work appears in journals such as International Journal of General Systems, International Journal of Uncertainty Fuzziness and Knowledge-Based Systems, Fuzzy Sets and Systems, International Journal of Approximate Reasoning and International Journal of Intelligent 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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