Martin Ritzert

6 papers and 520 indexed citations i.

About

Martin Ritzert is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Materials Chemistry. According to data from OpenAlex, Martin Ritzert has authored 6 papers receiving a total of 520 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computational Theory and Mathematics, 3 papers in Artificial Intelligence and 2 papers in Materials Chemistry. Recurrent topics in Martin Ritzert’s work include Distributed Constraint Optimization Problems and Algorithms (2 papers), Machine Learning in Materials Science (2 papers) and Computational Drug Discovery Methods (2 papers). Martin Ritzert is often cited by papers focused on Distributed Constraint Optimization Problems and Algorithms (2 papers), Machine Learning in Materials Science (2 papers) and Computational Drug Discovery Methods (2 papers). Martin Ritzert collaborates with scholars based in Germany, Denmark and United States. Martin Ritzert's co-authors include Martin Grohe, Jan Eric Lenssen, Matthias Fey, Christopher Morris, William L. Hamilton, Gaurav Rattan, Manuel Dahmen, Jan G. Rittig, Alexander Mitsos and Artur M. Schweidtmann and has published in prestigious journals such as AIChE Journal, Frontiers in Artificial Intelligence and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Martin Ritzert i

Fields of papers citing papers by Martin Ritzert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Martin Ritzert

Since Specialization
Citations

This map shows the geographic impact of Martin Ritzert'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 Martin Ritzert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Ritzert 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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2025