David Gelbwaser-Klimovsky
- Atomic and Molecular Physics, and Optics top 5%
- Statistical and Nonlinear Physics top 1%
- Artificial Intelligence top 5%
- Civil and Structural Engineering top 5%
- Electrical and Electronic Engineering
- Co-authors
- Gershon KurizkiRobert AlickiWolfgang NiedenzuAlán Aspuru‐GuzikAbraham G. KofmanMichal KolářNoam ErezUri Peskin
- Topics
- Advanced Thermodynamics and Statistical Mechanics (22 papers)Quantum Electrodynamics and Casimir Effect (9 papers)Quantum Information and Cryptography (8 papers)
- Cited by
- Statistical and Nonlinear PhysicsAtomic and Molecular Physics, and OpticsArtificial Intelligence
- Partner nations
- IsraelUnited StatesPoland
In The Last Decade
David Gelbwaser-Klimovsky
29 papers receiving 952 citations
Peers
Comparison fields: 5 of 38
- Atomic and Molecular Physics, and Optics 764
- Statistical and Nonlinear Physics 726
- Artificial Intelligence 395
- Civil and Structural Engineering 252
- Electrical and Electronic Engineering 111
Countries citing papers authored by David Gelbwaser-Klimovsky
This map shows the geographic impact of David Gelbwaser-Klimovsky'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 David Gelbwaser-Klimovsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Gelbwaser-Klimovsky more than expected).
Fields of papers citing papers by David Gelbwaser-Klimovsky
This network shows the impact of papers produced by David Gelbwaser-Klimovsky. 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 David Gelbwaser-Klimovsky. The network helps show where David Gelbwaser-Klimovsky may publish in the future.
Co-authorship network of co-authors of David Gelbwaser-Klimovsky
This figure shows the co-authorship network connecting the top 25 collaborators of David Gelbwaser-Klimovsky. A scholar is included among the top collaborators of David Gelbwaser-Klimovsky 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 David Gelbwaser-Klimovsky. David Gelbwaser-Klimovsky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 6 | |
| 4 | 20 | |
| 5 | 33 | |
| 6 | 25 | |
| 7 | 42 | |
| 8 | 17 | |
| 9 | 34 | |
| 10 | 1 | |
| 11 | 5 | |
| 12 | 38 | |
| 13 | 36 | |
| 14 | 53 | |
| 15 | 9 | |
| 16 | 62 | |
| 17 | 104 | |
| 18 | 74 | |
| 19 | 54 | |
| 20 | 0 |
About David Gelbwaser-Klimovsky
David Gelbwaser-Klimovsky is a scholar working on Statistical and Nonlinear Physics, Atomic and Molecular Physics, and Optics and Civil and Structural Engineering, having authored 30 papers that have together received 968 indexed citations. Recurring topics across this work include Advanced Thermodynamics and Statistical Mechanics (22 papers), Quantum Electrodynamics and Casimir Effect (9 papers) and Quantum Information and Cryptography (8 papers). The work is most often cited by research in Statistical and Nonlinear Physics (726 citations), Atomic and Molecular Physics, and Optics (764 citations) and Artificial Intelligence (395 citations). David Gelbwaser-Klimovsky has collaborated with scholars based in Israel, United States and Poland. Frequent co-authors include Gershon Kurizki, Robert Alicki, Wolfgang Niedenzu, Alán Aspuru‐Guzik, Abraham G. Kofman, Michal Kolář, Noam Erez, Uri Peskin, Paul Brumer and Michael Thoss. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nano Letters.
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.