Marko Bohanec

88 papers receiving 1.6k citations

Peers

Marko Bohanec
Comparison fields: 5 of 155
  • Management Science and Operations Research 321
  • Environmental Chemistry 164
  • Management Information Systems 132
  • Management, Monitoring, Policy and Law 150
  • Artificial Intelligence 403
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Countries citing papers authored by Marko Bohanec

Since Specialization
Citations

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

Fields of papers citing papers by Marko Bohanec

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Marko Bohanec, 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 Marko Bohanec Line = papers co-authored together Marko Bohanec links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1
DEX: An Expert System Shell for Decision Support •
1990104
2 201696
3 199489
4 201076
5 200074
6 200872
7 200865
8 199459
9
DEX Methodology: Three Decades of Qualitative Multi-Attribute Modeling
201358
10 200253
11
Multi-Attribute Decision Modeling: Industrial Applications of DEX
199951
12 200650
13 201748
14 200748
15 199944
16 200742
17
Machine Learning by Function Decomposition
199740
18 201539
19 201039
20 201036

About Marko Bohanec

Marko Bohanec is a scholar working on Management Science and Operations Research, Management Information Systems, General Energy, Information Systems and Computational Theory and Mathematics, having authored 91 papers that have together received 1.8k indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (19 papers), Data Mining Algorithms and Applications (12 papers), Rough Sets and Fuzzy Logic (12 papers), Genetically Modified Organisms Research (9 papers), Big Data and Business Intelligence (8 papers), Bayesian Modeling and Causal Inference (7 papers), Forecasting Techniques and Applications (7 papers) and Data Management and Algorithms (6 papers). The work is most often cited by research in Management Science and Operations Research (321 citations), Environmental Chemistry (164 citations), Management Information Systems (132 citations), Management, Monitoring, Policy and Law (150 citations) and Artificial Intelligence (403 citations). Marko Bohanec has collaborated with scholars based in Slovenia, United States and France. Frequent co-authors include Ivan Bratko, Blaž Zupan, Vladislav Rajkovič, Martin Žnidaršič, Marko Robnik‐Šikonja, Mirjana Kljajić Borštnar, Bryan S. Griffiths, Janez Demšar, Paul Henning Krogh and Karmen Pažek. Their work appears in journals such as Journal of Decision System, Pedobiologia, Machine Learning, Expert Systems with Applications and International Journal of Medical Informatics.

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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