Marko Bohanec

3.2k citations
132 papers · 2.4k · h-index 27

Impact in

Papers in

Marko Bohanec

129 papers receiving 2.3k citations

Peers

Marko Bohanec
Comparison fields: 5 of 162
  • Management Science and Operations Research 406
  • Artificial Intelligence 668
  • Environmental Chemistry 189
  • Management Information Systems 172
  • Health Informatics 26
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James H. Long United States
Peter Bogetoft Denmark
Uzay Kaymak Netherlands
Denis Bouyssou France
Alexis Tsoukiàs France
Antonio Salmerón Spain
Ph. Vincke Belgium
Kuldeep Kumar Australia
Anuj Kumar India
Rafael Caballero Spain
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Citations per field
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Citations per year

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 132 papers — load more, or switch the sort, to bring in the rest.

#Work
1
DEX: An Expert System Shell for Decision Support •
1990127
2 2018123
3 1994106
4 2016106
5 200878
6 200078
7 201077
8 199471
9 200869
10
DEX Methodology: Three Decades of Qualitative Multi-Attribute Modeling
201367
11 200659
12 201759
13
Multi-Attribute Decision Modeling: Industrial Applications of DEX
199958
14 199955
15 201252
16 200252
17 200751
18
Machine Learning by Function Decomposition
199749
19 200744
20 201541

About Marko Bohanec

Marko Bohanec is a scholar working on Management Science and Operations Research, Information Systems, Artificial Intelligence, Management Information Systems and Computational Theory and Mathematics, having authored 132 papers that have together received 2.4k indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (25 papers), Data Mining Algorithms and Applications (18 papers), Rough Sets and Fuzzy Logic (15 papers), Forecasting Techniques and Applications (10 papers), Big Data and Business Intelligence (10 papers), Genetically Modified Organisms Research (9 papers), Bayesian Modeling and Causal Inference (8 papers) and Data Management and Algorithms (6 papers). The work is most often cited by research in Management Science and Operations Research (406 citations), Artificial Intelligence (668 citations), Environmental Chemistry (189 citations), Management Information Systems (172 citations) and Health Informatics (26 citations). Marko Bohanec has collaborated with scholars based in Slovenia, France and Italy. Frequent co-authors include Ivan Bratko, Blaž Zupan, Marko Robnik‐Šikonja, Vladislav Rajkovič, Mirjana Kljajić Borštnar, Martin Žnidaršič, Janez Demšar, Bryan S. Griffiths, Bojan Cestnik and Paul Henning Krogh. Their work appears in journals such as Journal of Decision System, Pedobiologia, Expert Systems with Applications, International Journal of Medical Informatics and Machine Learning.

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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