Max Planck Innovation

About

In recent decades, authors affiliated with Max Planck Innovation have published 722 papers, which have received a total of 23.9k indexed citations. Scholars at this organization have produced 171 papers in Statistics, Probability and Uncertainty, 128 papers in Artificial Intelligence and 94 papers in Molecular Biology on the topics of scientometrics and bibliometrics research (165 papers), Complex Network Analysis Techniques (29 papers) and Web visibility and informetrics (27 papers). Their work is cited by papers focused on Molecular Biology (4.8k citations), Statistics, Probability and Uncertainty (3.9k citations) and Artificial Intelligence (1.7k citations). Authors at Max Planck Innovation collaborate with scholars in Germany, United States and Netherlands and have published in prestigious journals including Nature, Proceedings of the National Academy of Sciences and Physical Review Letters. Some of Max Planck Innovation's most productive authors include Lutz Bornmann, Loet Leydesdorff, Rüdiger Mutz, Werner Marx, Robin Haunschild, Danila Seidel, S. F. Shandarin, Ya. B. Zel’dovich, Hans‐Dieter Daniel and Caroline S. Wagner.

In The Last Decade

Max Planck Innovation

687 papers receiving 23.6k citations

Countries citing scholars working at Max Planck Innovation

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Max Planck Innovation. 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 papers produced at Max Planck Innovation with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Max Planck Innovation more than expected).

Fields of papers published by authors at Max Planck Innovation

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Max Planck Innovation at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Max Planck Innovation at the time of their publication.

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 institutions with similar magnitude of impact

Rankless by CCL
2026