Martin Kliesch
- Artificial Intelligence top 1%
- Atomic and Molecular Physics, and Optics top 5%
- Statistical and Nonlinear Physics top 5%
- Computational Theory and Mathematics top 5%
- Condensed Matter Physics
- Co-authors
- Jens EisertLennart BittelChristian GogolinIngo RothThomas BarthelMichael J. KastoryanoLeandro AolitaArnau Riera
- Topics
- Quantum Computing Algorithms and Architecture (25 papers)Quantum Information and Cryptography (20 papers)Quantum many-body systems (9 papers)
- Partner nations
- GermanyPolandUnited States
In The Last Decade
Martin Kliesch
29 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 45
- Artificial Intelligence 856
- Atomic and Molecular Physics, and Optics 772
- Statistical and Nonlinear Physics 170
- Computational Theory and Mathematics 99
- Condensed Matter Physics 61
Countries citing papers authored by Martin Kliesch
This map shows the geographic impact of Martin Kliesch'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 Kliesch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Kliesch more than expected).
Fields of papers citing papers by Martin Kliesch
This network shows the impact of papers produced by Martin Kliesch. 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 Kliesch. The network helps show where Martin Kliesch may publish in the future.
Co-authorship network of co-authors of Martin Kliesch
This figure shows the co-authorship network connecting the top 25 collaborators of Martin Kliesch. A scholar is included among the top collaborators of Martin Kliesch 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 Kliesch. Martin Kliesch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 11 | |
| 7 | 10 | |
| 8 | 13 | |
| 9 | 4 | |
| 10 | 6 | |
| 11 | Training Variational Quantum Algorithms Is NP-Hardbreakdown → | 243 |
| 12 | 25 | |
| 13 | 40 | |
| 14 | 43 | |
| 15 | 109 | |
| 16 | 63 | |
| 17 | 108 | |
| 18 | Correlations in thermal quantum states | 1 |
| 19 | Real-space renormalization yields finitely correlated states | 1 |
| 20 | 22 |
About Martin Kliesch
Martin Kliesch is a scholar working on Computational Mathematics, Artificial Intelligence and Structural Biology, having authored 33 papers that have together received 1.1k indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (25 papers), Quantum Information and Cryptography (20 papers) and Quantum many-body systems (9 papers). The work is most often cited by research in Computational Mathematics (21 citations), Artificial Intelligence (856 citations) and Atomic and Molecular Physics, and Optics (772 citations). Martin Kliesch has collaborated with scholars based in Germany, Poland and United States. Frequent co-authors include Jens Eisert, Lennart Bittel, Christian Gogolin, Ingo Roth, Thomas Barthel, Michael J. Kastoryano, Leandro Aolita, Arnau Riera, Albert H. Werner and Dominik Hangleiter. Their work appears in journals such as Physical Review Letters, Nature Communications and IEEE Transactions on Information Theory.
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.