Sam Genway

602 citations
15 papers · 415 · h-index 10

Impact in

Papers in

Sam Genway

15 papers receiving 406 citations

Peers

Sam Genway
Comparison fields: 5 of 45
  • Statistical and Nonlinear Physics 163
  • Atomic and Molecular Physics, and Optics 318
  • Artificial Intelligence 127
  • Computational Theory and Mathematics 57
  • Acoustics and Ultrasonics 3
Replace Filippo Maria Gambetta with:
Filippo Maria Gambetta United Kingdom
M. V. Subbotin United States
Luca Bonci Italy
O. V. Zhirov Russia
Martin Leib Germany
Fengping Jin Germany
Nishad Maskara United States
Zlatko Minev United States
Jahan Claes United States
Sam Genway relative to Filippo Maria Gambetta United Kingdom Filippo Maria Gambetta's profile →
Citations per field
00.5×4.4×
Filippo Maria Gambetta · 1×
Citations per year

Countries citing papers authored by Sam Genway

Since Specialization
Citations

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

Fields of papers citing papers by Sam Genway

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Sam Genway, 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 Sam Genway Line = papers co-authored together Sam Genway links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2015101
2 201861
3 201446
4 201444
5 201228
6 201226
7 201325
8 201024
9 201220
10 201313
11 20248
12 20148
13 20145
14 20143
15 20143

About Sam Genway

Sam Genway is a scholar working on Atomic and Molecular Physics, and Optics, Statistical and Nonlinear Physics, Artificial Intelligence, Molecular Biology and Computational Theory and Mathematics, having authored 15 papers that have together received 415 indexed citations. Recurring topics across this work include Advanced Thermodynamics and Statistical Mechanics (7 papers), Quantum many-body systems (6 papers), Quantum Information and Cryptography (5 papers), Spectroscopy and Quantum Chemical Studies (5 papers), Cold Atom Physics and Bose-Einstein Condensates (4 papers), Quantum optics and atomic interactions (3 papers), Computational Drug Discovery Methods (2 papers) and Mechanical and Optical Resonators (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (163 citations), Atomic and Molecular Physics, and Optics (318 citations), Artificial Intelligence (127 citations), Computational Theory and Mathematics (57 citations) and Acoustics and Ultrasonics (3 citations). Sam Genway has collaborated with scholars based in United Kingdom, Australia and Germany. Frequent co-authors include Igor Lesanovsky, Juan P. Garrahan, Weibin Li, A. D. Armour, Derek K. K. Lee, Michael Hush, Stephen D. Pickett, Péter Pogány, A. F. Ho and Andrew Fu Wah Ho. Their work appears in journals such as Physical Review A, Physical Review Letters, Physical Review B, Journal of Physics A Mathematical and Theoretical and Journal of Chemical Information and Modeling.

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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