Max Planck Institute for Software Systems
Impact in
- Artificial Intelligence top 5%
- Logic, programming, and type systems
- Security and Verification in Computing
- Cryptography and Data Security
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- Complex Network Analysis Techniques
Papers in
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- Formal Methods in Verification 293
- semigroups and automata theory 86
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- Logic, programming, and type systems 380
- Security and Verification in Computing 72
- Top scholars
- Krishna P. GummadiAlan E. MisloveMeeyoung ChaPeter DruschelFabrício BenevenutoRupak MajumdarMichael Backes ADerek R. Dreyer
- Journals
- Proceedings of the ACM on Programming Languages (104 papers)ACM SIGPLAN Notices (54 papers)Lecture notes in computer science (251 papers)Logical Methods in Computer Science (18 papers)Journal of Functional Programming (11 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Max Planck Institute for Software Systems
1.5k papers receiving 45.8k citations
Peers
Comparison fields: 5 of 175
- Artificial Intelligence 17k
- Statistical and Nonlinear Physics 4.8k
- Software 1.8k
- Computer Networks and Communications 7.5k
- Information Systems 8.2k
Countries citing scholars working at Max Planck Institute for Software Systems
This map shows the geographic impact of research produced by authors working at Max Planck Institute for Software 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 Software 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 Software Systems more than expected).
Fields of papers published by authors at Max Planck Institute for Software Systems
This network shows the impact of papers affiliated with Max Planck Institute for Software 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 Software Systems at the time of their publication.
About Max Planck Institute for Software Systems
In recent decades, authors affiliated with Max Planck Institute for Software Systems have published 1.6k papers, which have received a total of 45.9k indexed citations . Scholars at this organization have produced 397 papers in Computational Theory and Mathematics, 654 papers in Artificial Intelligence, 85 papers in Software, 115 papers in Hardware and Architecture and 207 papers in Computer Networks and Communications on the topics of Logic, programming, and type systems (380 papers), Formal Methods in Verification (293 papers), Distributed systems and fault tolerance (86 papers), semigroups and automata theory (86 papers), Software Testing and Debugging Techniques (80 papers), Security and Verification in Computing (72 papers), Real-Time Systems Scheduling (71 papers) and Ethics and Social Impacts of AI (66 papers). Their work is cited by papers focused on Artificial Intelligence (17k citations), Statistical and Nonlinear Physics (4.8k citations), Software (1.8k citations), Computer Networks and Communications (7.5k citations) and Information Systems (8.2k citations). Authors at Max Planck Institute for Software Systems collaborate with scholars in Germany, United States and United Kingdom and have published in prestigious journals including Proceedings of the ACM on Programming Languages, ACM SIGPLAN Notices, Lecture notes in computer science, Logical Methods in Computer Science and Journal of Functional Programming. Some of Max Planck Institute for Software Systems's most productive authors include Krishna P. Gummadi, Alan E. Mislove, Meeyoung Cha, Peter Druschel, Fabrício Benevenuto, Rupak Majumdar, Michael Backes A, Derek R. Dreyer, Viktor Vafeiadis and Hamed Haddadi.
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.