Tillmann Baumgratz
- Atomic and Molecular Physics, and Optics top 1%
- Artificial Intelligence top 0.5%
- Statistical and Nonlinear Physics top 1%
- Electrical and Electronic Engineering
- Nuclear and High Energy Physics
- Co-authors
- M. CramerMartin B. PlenioAnimesh DattaMagdalena SzczykulskaR. BlattC. F. RoosPetar JurcevicB. P. Lanyon
- Topics
- Quantum Information and Cryptography (6 papers)Quantum Computing Algorithms and Architecture (5 papers)Quantum many-body systems (3 papers)
- Cited by
- Atomic and Molecular Physics, and OpticsArtificial IntelligenceStatistical and Nonlinear Physics
- Partner nations
- GermanyUnited KingdomAustria
In The Last Decade
Tillmann Baumgratz
6 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 62
- Atomic and Molecular Physics, and Optics 2.1k
- Artificial Intelligence 2.0k
- Statistical and Nonlinear Physics 453
- Electrical and Electronic Engineering 73
- Nuclear and High Energy Physics 40
Countries citing papers authored by Tillmann Baumgratz
This map shows the geographic impact of Tillmann Baumgratz'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 Tillmann Baumgratz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tillmann Baumgratz more than expected).
Fields of papers citing papers by Tillmann Baumgratz
This network shows the impact of papers produced by Tillmann Baumgratz. 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 Tillmann Baumgratz. The network helps show where Tillmann Baumgratz may publish in the future.
Co-authorship network of co-authors of Tillmann Baumgratz
This figure shows the co-authorship network connecting the top 25 collaborators of Tillmann Baumgratz. A scholar is included among the top collaborators of Tillmann Baumgratz 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 Tillmann Baumgratz. Tillmann Baumgratz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 160 | |
| 2 | 156 | |
| 3 | 167 | |
| 4 | 26 | |
| 5 | Quantifying Coherencebreakdown → | 1818 |
| 6 | 76 |
About Tillmann Baumgratz
Tillmann Baumgratz is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Infectious Diseases, having authored 6 papers that have together received 2.4k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (6 papers), Quantum Computing Algorithms and Architecture (5 papers) and Quantum many-body systems (3 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (2.1k citations), Artificial Intelligence (2.0k citations) and Statistical and Nonlinear Physics (453 citations). Tillmann Baumgratz has collaborated with scholars based in Germany, United Kingdom and Austria. Frequent co-authors include M. Cramer, Martin B. Plenio, Animesh Datta, Magdalena Szczykulska, R. Blatt, C. F. Roos, Petar Jurcevic, B. P. Lanyon, Christine Maier and Cornelius Hempel. Their work appears in journals such as Physical Review Letters, Nature Physics 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.