David Reeb

1.0k citations
24 papers · 577 · h-index 12

Impact in

Papers in

David Reeb

24 papers receiving 571 citations

Peers

David Reeb
Comparison fields: 5 of 42
  • Statistical and Nonlinear Physics 256
  • Nuclear and High Energy Physics 185
  • Atomic and Molecular Physics, and Optics 314
  • Astronomy and Astrophysics 159
  • Artificial Intelligence 250
Replace Dario Rosa with:
Dario Rosa South Korea
Howard E. Brandt United States
Alessio Belenchia United Kingdom
Cédric Bény Germany
Sepehr Nezami United States
I. A. Pedrosa Brazil
Gerald Gilbert United States
Mitsuhiro Nishida Japan
Andrzej Dragan Poland
Marcos Sampaio Brazil
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Citations per field
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Citations per year

Countries citing papers authored by David Reeb

Since Specialization
Citations

This map shows the geographic impact of David Reeb'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 Reeb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Reeb more than expected).

Fields of papers citing papers by David Reeb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Reeb. 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 Reeb. The network helps show where David Reeb may publish in the future.

Co-authors

The 24 scholars most cited alongside David Reeb, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David Reeb Line = papers co-authored together David Reeb links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014174
2 201695
3 200857
4 200840
5 201137
6 200726
7 201223
8 200922
9 200814
10 200913
11 201012
12 200811
13 201610
14 20148
15 20147
16 20136
17 20225
18
Quantum Subdivision Capacities and Continuous-time Quantum Coding
20165
19 20084
20 20183

About David Reeb

David Reeb is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Nuclear and High Energy Physics, Astronomy and Astrophysics and Statistical and Nonlinear Physics, having authored 24 papers that have together received 577 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (10 papers), Black Holes and Theoretical Physics (7 papers), Quantum Mechanics and Applications (7 papers), Cosmology and Gravitation Theories (7 papers), Quantum Computing Algorithms and Architecture (5 papers), Particle physics theoretical and experimental studies (5 papers), Noncommutative and Quantum Gravity Theories (3 papers) and Advanced Thermodynamics and Statistical Mechanics (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (256 citations), Nuclear and High Energy Physics (185 citations), Atomic and Molecular Physics, and Optics (314 citations), Astronomy and Astrophysics (159 citations) and Artificial Intelligence (250 citations). David Reeb has collaborated with scholars based in Germany, United States and Denmark. Frequent co-authors include Michael M. Wolf, Stephen D. H. Hsu, Xavier Calmet, Anders S. Sørensen, Florentin Reiter, Michael J. Kastoryano, Robert J. Scherrer, Teiko Heinosaari, Sourish Dutta and M. G. Raymer. Their work appears in journals such as New Journal of Physics, Physical Review Letters, Linear Algebra and its Applications, Europhysics Letters (EPL) and IEEE Transactions on Pattern Analysis and Machine Intelligence.

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.

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