Mario Köppen
Impact in
- Human-Computer Interaction top 2%
- Virtual Reality Applications and Impacts
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- Multi-Criteria Decision Making
Papers in
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- Metaheuristic Optimization Algorithms Research 18
- Evolutionary Algorithms and Applications 13
- Neural Networks and Applications 8
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- Image Retrieval and Classification Techniques 8
- Co-authors
- Dragan Pamučar (7 shared papers)Ilgın Gökaşar (6 shared papers)Muhammet Deveci (6 shared papers)Katrin Franke (9 shared papers)Ajith Abraham (7 shared papers)Kaori Yoshida (26 shared papers)Jenq‐Shiou Leu (7 shared papers)Brij B. Gupta (2 shared papers)
In The Last Decade
Mario Köppen
114 papers receiving 1.4k citations
Mario Köppen's Hit Papers
Peers
Comparison fields: 5 of 126
- Human-Computer Interaction 136
- Management Science and Operations Research 252
- Computer Vision and Pattern Recognition 261
- Industrial and Manufacturing Engineering 115
- Computational Theory and Mathematics 181
Countries citing papers authored by Mario Köppen
This map shows the geographic impact of Mario Köppen'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 Mario Köppen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Köppen more than expected).
Fields of papers citing papers by Mario Köppen
This network shows the impact of papers produced by Mario Köppen. 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 Mario Köppen. The network helps show where Mario Köppen may publish in the future.
Co-authors
The 25 scholars most cited alongside Mario Köppen, 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 122 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A metaverse assessment model for sustainable transportation using ordinal priority approach and Aczel-Alsina norms Hit paper breakdown → | 2022 | 142 |
| 2 | 2022 | 120 | |
| 3 | 2016 | 87 | |
| 4 | Design and Application of Hybrid Intelligent Systems | 2003 | 65 |
| 5 | 2001 | 60 | |
| 6 | 2001 | 59 | |
| 7 | 2023 | 59 | |
| 8 | 2023 | 54 | |
| 9 | 2021 | 52 | |
| 10 | 2020 | 45 | |
| 11 | 2022 | 44 | |
| 12 | 2002 | 34 | |
| 13 | 2021 | 31 | |
| 14 | 2022 | 31 | |
| 15 | Soft computing systems : design, management and applications | 2002 | 29 |
| 16 | 2023 | 25 | |
| 17 | 2013 | 25 | |
| 18 | 2004 | 25 | |
| 19 | 2007 | 22 | |
| 20 | 2011 | 21 |
About Mario Köppen
Mario Köppen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Computational Theory and Mathematics and Management Science and Operations Research, having authored 122 papers that have together received 1.5k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (18 papers), Evolutionary Algorithms and Applications (13 papers), Advanced Multi-Objective Optimization Algorithms (13 papers), Multi-Criteria Decision Making (9 papers), Neural Networks and Applications (8 papers), Advanced Wireless Network Optimization (8 papers), Image Retrieval and Classification Techniques (8 papers) and Cooperative Communication and Network Coding (6 papers). The work is most often cited by research in Human-Computer Interaction (136 citations), Management Science and Operations Research (252 citations), Computer Vision and Pattern Recognition (261 citations), Industrial and Manufacturing Engineering (115 citations) and Computational Theory and Mathematics (181 citations). Mario Köppen has collaborated with scholars based in Japan, Germany and Taiwan. Frequent co-authors include Dragan Pamučar, Ilgın Gökaşar, Muhammet Deveci, Katrin Franke, Ajith Abraham, Kaori Yoshida, Jenq‐Shiou Leu, Brij B. Gupta, Madjid Tavana and Setya Widyawan Prakosa. Their work appears in journals such as Sensors, Electronics, Technological Forecasting and Social Change, Engineering Applications of Artificial Intelligence and IEEE Computational Intelligence Magazine.
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.