T. Andrew Manning
- Atomic and Molecular Physics, and Optics top 2%
- Artificial Intelligence top 1%
- Statistical and Nonlinear Physics top 5%
- Computational Theory and Mathematics top 10%
- Computer Vision and Pattern Recognition
- Co-authors
- C. MonroePeter MaunzLe LuoA. Boyer de la GirodayDavid HayesAntonio AcínSerge MassarDzmitry Matsukevich
- Topics
- Particle physics theoretical and experimental studies (3 papers)High-Energy Particle Collisions Research (3 papers)Quantum Chromodynamics and Particle Interactions (3 papers)
- Cited by
- Atomic and Molecular Physics, and OpticsArtificial IntelligenceStatistical and Nonlinear Physics
- Journals
- NaturePhysical Review LettersSHILAP Revista de lepidopterología
- Partner nations
- United StatesBrazilUnited Kingdom
In The Last Decade
T. Andrew Manning
6 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 47
- Atomic and Molecular Physics, and Optics 977
- Artificial Intelligence 937
- Statistical and Nonlinear Physics 99
- Computational Theory and Mathematics 69
- Computer Vision and Pattern Recognition 55
Countries citing papers authored by T. Andrew Manning
This map shows the geographic impact of T. Andrew Manning'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 T. Andrew Manning with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Andrew Manning more than expected).
Fields of papers citing papers by T. Andrew Manning
This network shows the impact of papers produced by T. Andrew Manning. 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 T. Andrew Manning. The network helps show where T. Andrew Manning may publish in the future.
Co-authorship network of co-authors of T. Andrew Manning
This figure shows the co-authorship network connecting the top 25 collaborators of T. Andrew Manning. A scholar is included among the top collaborators of T. Andrew Manning 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 T. Andrew Manning. T. Andrew Manning 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 | 23 | |
| 4 | 115 | |
| 5 | 40 | |
| 6 | Random numbers certified by Bell’s theorembreakdown → | 917 |
About T. Andrew Manning
T. Andrew Manning is a scholar working on Nuclear and High Energy Physics, Statistics and Probability and Atomic and Molecular Physics, and Optics, having authored 6 papers that have together received 1.1k indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (3 papers), High-Energy Particle Collisions Research (3 papers) and Quantum Chromodynamics and Particle Interactions (3 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (977 citations), Artificial Intelligence (937 citations) and Statistical and Nonlinear Physics (99 citations). T. Andrew Manning has collaborated with scholars based in United States, Brazil and United Kingdom. Frequent co-authors include C. Monroe, Peter Maunz, Le Luo, A. Boyer de la Giroday, David Hayes, Antonio Acín, Serge Massar, Dzmitry Matsukevich, S. Olmschenk and Stefano Pironio. Their work appears in journals such as Nature, Physical Review Letters and SHILAP Revista de lepidopterología.
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.