Gavin E. Crooks
- Statistical and Nonlinear Physics top 0.05%
- Advanced Thermodynamics and Statistical Mechanics 33
- Statistical Mechanics and Entropy 12
- stochastic dynamics and bifurcation 5
- Molecular Biology top 0.5%
- Machine Learning in Bioinformatics 4
- Structural Biology top 2%
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- Quantum many-body systems 5
- Quantum Mechanics and Applications 5
- Genetics top 1%
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- Phase Equilibria and Thermodynamics 6
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- thermodynamics and calorimetric analyses 5
- Co-authors
- Steven E. BrennerJohn‐Marc ChandoniaGary C. HonDavid A. SivakJan LiphardtDavid ChandlerChristopher JarzynskiEdward H. Feng
- Journals
- Physical Review Letters (6 papers)Proceedings of the National Academy of Sciences (4 papers)Computer applications in the biosciences (2 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Gavin E. Crooks
52 papers receiving 15.2k citations
Hit Papers
Peers
Comparison fields: 5 of 177
- Statistical and Nonlinear Physics 3.8k
- Molecular Biology 8.6k
- Structural Biology 104
- Atomic and Molecular Physics, and Optics 2.2k
- Genetics 1.8k
Countries citing papers authored by Gavin E. Crooks
This map shows the geographic impact of Gavin E. Crooks'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 Gavin E. Crooks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gavin E. Crooks more than expected).
Fields of papers citing papers by Gavin E. Crooks
This network shows the impact of papers produced by Gavin E. Crooks. 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 Gavin E. Crooks. The network helps show where Gavin E. Crooks may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gavin E. Crooks, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 9 | |
| 2 | 2024 | 0 | |
| 3 | 2018 | 26 | |
| 4 | QAOA Performance Benchmarks using Max-Cut | 2018 | 3 |
| 5 | 2014 | 50 | |
| 6 | 2014 | 2 | |
| 7 | Geometry of thermodynamic control | 2013 | 1 |
| 8 | 2012 | 92 | |
| 9 | 2012 | 36 | |
| 10 | 2012 | 229 | |
| 11 | Driven Langevin dynamics: heat, work and pseudo-work | 2011 | 1 |
| 12 | 2010 | 113 | |
| 13 | Self-Organization of the Escherichia coli Chemotaxis Network Imaged with Super-Resolution Light Microscopybreakdown → | 2009 | 261 |
| 14 | On the Jarzynski relation for dissipative quantum \ndynamics | 2008 | 54 |
| 15 | 2005 | 21 | |
| 16 | WebLogo: A Sequence Logo Generator: Figure 1breakdown → | 2004 | 9762 |
| 17 | 2004 | 33 | |
| 18 | The Gallavotti-Cohen Fluctuation Theorem and the Nonequilibrium Work Relation for Free Energy Differences | 1999 | 2 |
| 19 | Nonequilibrium Measurements of Free Energy Differences for Microscopically Reversible Markovian Systemsbreakdown → | 1998 | 723 |
| 20 | 1995 | 21 |
About Gavin E. Crooks
Gavin E. Crooks is a scholar working on Statistical and Nonlinear Physics, Structural Biology and Physical and Theoretical Chemistry, having authored 54 papers that have together received 15.4k indexed citations. Recurring topics across this work include Advanced Thermodynamics and Statistical Mechanics (33 papers), Statistical Mechanics and Entropy (12 papers), Phase Equilibria and Thermodynamics (6 papers), Quantum many-body systems (5 papers), Quantum Mechanics and Applications (5 papers), stochastic dynamics and bifurcation (5 papers), thermodynamics and calorimetric analyses (5 papers) and Machine Learning in Bioinformatics (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (3.8k citations), Molecular Biology (8.6k citations) and Structural Biology (104 citations). Gavin E. Crooks has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Steven E. Brenner, John‐Marc Chandonia, Gary C. Hon, David A. Sivak, Jan Liphardt, David Chandler, Christopher Jarzynski, Edward H. Feng, Derek Greenfield and Ned S. Wingreen. Their work appears in journals such as Physical Review Letters, Proceedings of the National Academy of Sciences, Computer applications in the biosciences, Biotechnology and Bioengineering and Proteins Structure Function and Bioinformatics.
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.