Mario Köppen

64 papers and 975 indexed citations i.

About

Mario Köppen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Mario Köppen has authored 64 papers receiving a total of 975 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 8 papers in Computer Networks and Communications. Recurrent topics in Mario Köppen’s work include Multi-Criteria Decision Making (7 papers), Metaheuristic Optimization Algorithms Research (6 papers) and Smart Agriculture and AI (5 papers). Mario Köppen is often cited by papers focused on Multi-Criteria Decision Making (7 papers), Metaheuristic Optimization Algorithms Research (6 papers) and Smart Agriculture and AI (5 papers). Mario Köppen collaborates with scholars based in Japan, Germany and Taiwan. Mario Köppen's co-authors include Muhammet Deveci, Dragan Pamučar, Ilgın Gökaşar, Katrin Franke, Brij B. Gupta, Madjid Tavana, Rajkumar Roy, S.J. Ovaska, Jenq‐Shiou Leu and Frank Hoffmann and has published in prestigious journals such as Sensors, Technological Forecasting and Social Change and Fuzzy Sets and Systems.

In The Last Decade

Co-authorship network of co-authors of Mario Köppen i

Fields of papers citing papers by Mario Köppen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Mario Köppen

Since Specialization
Citations

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).

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2025