Martin Rötteler
- Artificial Intelligence top 1%
- Computational Theory and Mathematics top 1%
- Atomic and Molecular Physics, and Optics top 10%
- Electrical and Electronic Engineering
- Applied Mathematics top 5%
- Co-authors
- Andreas KlappeneckerMarkus GrasslThomas BethPradeep Kiran SarvepalliPaweł WocjanDominik JanzingT. BethMarkus Püschel
- Topics
- Quantum Computing Algorithms and Architecture (30 papers)Quantum Information and Cryptography (17 papers)Coding theory and cryptography (14 papers)
- Cited by
- Computational Theory and MathematicsArtificial IntelligenceAtomic and Molecular Physics, and Optics
- Journals
- IEEE Transactions on Information TheoryIEEE Transactions on Image ProcessingPhysical Review A
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Martin Rötteler
40 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 49
- Artificial Intelligence 970
- Computational Theory and Mathematics 500
- Atomic and Molecular Physics, and Optics 339
- Electrical and Electronic Engineering 121
- Applied Mathematics 65
Countries citing papers authored by Martin Rötteler
This map shows the geographic impact of Martin Rötteler'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 Rötteler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Rötteler more than expected).
Fields of papers citing papers by Martin Rötteler
This network shows the impact of papers produced by Martin Rötteler. 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 Rötteler. The network helps show where Martin Rötteler may publish in the future.
Co-authorship network of co-authors of Martin Rötteler
This figure shows the co-authorship network connecting the top 25 collaborators of Martin Rötteler. A scholar is included among the top collaborators of Martin Rötteler based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Martin Rötteler. Martin Rötteler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 0 | |
| 3 | 14 | |
| 4 | 19 | |
| 5 | 88 | |
| 6 | 18 | |
| 7 | 26 | |
| 8 | 12 | |
| 9 | 12 | |
| 10 | 0 | |
| 11 | 14 | |
| 12 | 0 | |
| 13 | 35 | |
| 14 | 19 | |
| 15 | 53 | |
| 16 | 19 | |
| 17 | 32 | |
| 18 | 45 | |
| 19 | 15 | |
| 20 | 112 |
About Martin Rötteler
Martin Rötteler is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Discrete Mathematics and Combinatorics, having authored 44 papers that have together received 1.1k indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (30 papers), Quantum Information and Cryptography (17 papers) and Coding theory and cryptography (14 papers). The work is most often cited by research in Computational Theory and Mathematics (500 citations), Artificial Intelligence (970 citations) and Atomic and Molecular Physics, and Optics (339 citations). Martin Rötteler has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Andreas Klappenecker, Markus Grassl, Thomas Beth, Pradeep Kiran Sarvepalli, Paweł Wocjan, Dominik Janzing, T. Beth, Markus Püschel, Rainer Steinwandt and Pranab Kumar Sen. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Transactions on Image Processing and Physical Review A.
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.