Michael Wurst

About

Michael Wurst is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Michael Wurst has authored 10 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 3 papers in Information Systems and 3 papers in Signal Processing. Recurrent topics in Michael Wurst’s work include Metaheuristic Optimization Algorithms Research (3 papers), Recommender Systems and Techniques (2 papers) and Advanced Clustering Algorithms Research (2 papers). Michael Wurst is often cited by papers focused on Metaheuristic Optimization Algorithms Research (3 papers), Recommender Systems and Techniques (2 papers) and Advanced Clustering Algorithms Research (2 papers). Michael Wurst collaborates with scholars based in Germany, United States and Australia. Michael Wurst's co-authors include Ingo Mierswa, Katharina Morik, Grazia Piizzi, Ondřej Klempíř, David Příhoda, Dan Chang, Rurun Wang, Geoffrey D. Hannigan, Gergely Temesi and Danny A. Bitton and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Future Generation Computer Systems.

In The Last Decade

Co-authorship network of co-authors of Michael Wurst i

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Fields of papers citing papers by Michael Wurst

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Michael Wurst

Since Specialization

Citations

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

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