Max Planck Institute for Intelligent Systems
Impact in
- Condensed Matter Physics top 1%
- Micro and Nano Robotics
-
- Human Pose and Action Recognition
- Advanced Vision and Imaging
Papers in
-
- Micro and Nano Robotics 437
- Physics of Superconductivity and Magnetism 197
- Top scholars
- Metin SittiMichael J. BlackAndreas GeigerE. J. MittemeijerHuajian GaoMichael HirscherBernhard SchölkopfStanislav N. Gorb
- Journals
- Acta Materialia (125 papers)Physical Review B (112 papers)Physical Review Letters (102 papers)Advanced Materials (98 papers)Applied Physics Letters (92 papers)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Max Planck Institute for Intelligent Systems
6.1k papers receiving 307.3k citations
Peers
Comparison fields: 5 of 244
- Condensed Matter Physics 42.9k
- Computer Vision and Pattern Recognition 46.5k
- Biomedical Engineering 79.6k
- Materials Chemistry 75.5k
- Electronic, Optical and Magnetic Materials 29.4k
Countries citing scholars working at Max Planck Institute for Intelligent Systems
This map shows the geographic impact of research produced by authors working at Max Planck Institute for Intelligent Systems. 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 Institute for Intelligent Systems 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 Institute for Intelligent Systems more than expected).
Fields of papers published by authors at Max Planck Institute for Intelligent Systems
This network shows the impact of papers affiliated with Max Planck Institute for Intelligent Systems 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 Institute for Intelligent Systems at the time of their publication.
About Max Planck Institute for Intelligent Systems
In recent decades, authors affiliated with Max Planck Institute for Intelligent Systems have published 6.5k papers, which have received a total of 314.1k indexed citations . Scholars at this organization have produced 949 papers in Condensed Matter Physics, 101 papers in Structural Biology, 286 papers in Ceramics and Composites, 741 papers in Electronic, Optical and Magnetic Materials and 1.7k papers in Materials Chemistry on the topics of Micro and Nano Robotics (437 papers), Magnetic properties of thin films (382 papers), Metal and Thin Film Mechanics (335 papers), Microstructure and mechanical properties (267 papers), Advanced ceramic materials synthesis (263 papers), Semiconductor materials and devices (212 papers), Physics of Superconductivity and Magnetism (197 papers) and Modular Robots and Swarm Intelligence (196 papers). Their work is cited by papers focused on Condensed Matter Physics (42.9k citations), Computer Vision and Pattern Recognition (46.5k citations), Biomedical Engineering (79.6k citations), Materials Chemistry (75.5k citations) and Electronic, Optical and Magnetic Materials (29.4k citations). Authors at Max Planck Institute for Intelligent Systems collaborate with scholars in Germany, United States and Switzerland and have published in prestigious journals including Acta Materialia, Physical Review B, Physical Review Letters, Advanced Materials and Applied Physics Letters. Some of Max Planck Institute for Intelligent Systems's most productive authors include Metin Sitti, Michael J. Black, Andreas Geiger, E. J. Mittemeijer, Huajian Gao, Michael Hirscher, Bernhard Schölkopf, Stanislav N. Gorb, Jan Peters and Fritz Aldinger.
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.