Sam Gutmann
- Artificial Intelligence top 0.2%
- Quantum Information and Cryptography 17
- Quantum Computing Algorithms and Architecture 16
- Computational Theory and Mathematics top 0.5%
- Computability, Logic, AI Algorithms 7
- Quantum-Dot Cellular Automata 3
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- Quantum Mechanics and Applications 6
- Quantum many-body systems 3
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- Advanced Thermodynamics and Statistical Mechanics 3
- Statistics and Probability top 5%
- Statistical Methods and Bayesian Inference 2
- Co-authors
- Edward FarhiJeffrey GoldstoneJoshua M. LapanA. P. LundgrenAndrew M. ChildsMichael SipserLeo ZhouJohn Frampton
- Cited by
- Artificial IntelligenceComputational Theory and MathematicsAtomic and Molecular Physics, and Optics
- Journals
- Physical Review A (5 papers)Quantum Information and Computation (4 papers)Annals of Physics (3 papers)
- Partner nations
- United StatesMexicoCanada
In The Last Decade
Sam Gutmann
36 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Artificial Intelligence 3.2k
- Computational Theory and Mathematics 1.1k
- Atomic and Molecular Physics, and Optics 1.8k
- Statistical and Nonlinear Physics 301
- Statistics and Probability 81
Countries citing papers authored by Sam Gutmann
This map shows the geographic impact of Sam Gutmann'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 Gutmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sam Gutmann more than expected).
Fields of papers citing papers by Sam Gutmann
This network shows the impact of papers produced by Sam Gutmann. 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 Gutmann. The network helps show where Sam Gutmann may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sam Gutmann, 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 | 2023 | 0 | |
| 2 | The Quantum Approximate Optimization Algorithm and the Sherrington-Kirkpatrick Model at Infinite Sizebreakdown → | 2022 | 125 |
| 3 | 2011 | 26 | |
| 4 | 2008 | 140 | |
| 5 | 2008 | 58 | |
| 6 | 2003 | 88 | |
| 7 | 2002 | 289 | |
| 8 | 2002 | 48 | |
| 9 | A Quantum Adiabatic Evolution Algorithm Applied to Random Instances of an NP-Complete Problembreakdown → | 2001 | 1239 |
| 10 | Quantum Computation by Adiabatic Evolution | 2000 | 272 |
| 11 | 1999 | 17 | |
| 12 | 1998 | 229 | |
| 13 | 1995 | 4 | |
| 14 | 1995 | 20 | |
| 15 | 1993 | 8 | |
| 16 | 1992 | 21 | |
| 17 | 1991 | 43 | |
| 18 | 1990 | 36 | |
| 19 | 1982 | 14 | |
| 20 | 1978 | 2 |
About Sam Gutmann
Sam Gutmann is a scholar working on Computational Theory and Mathematics, Statistics and Probability and Artificial Intelligence, having authored 37 papers that have together received 3.8k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (17 papers), Quantum Computing Algorithms and Architecture (16 papers), Computability, Logic, AI Algorithms (7 papers), Quantum Mechanics and Applications (6 papers), Advanced Thermodynamics and Statistical Mechanics (3 papers), Quantum-Dot Cellular Automata (3 papers), Quantum many-body systems (3 papers) and Statistical Methods and Bayesian Inference (2 papers). The work is most often cited by research in Artificial Intelligence (3.2k citations), Computational Theory and Mathematics (1.1k citations) and Atomic and Molecular Physics, and Optics (1.8k citations). Sam Gutmann has collaborated with scholars based in United States, Mexico and Canada. Frequent co-authors include Edward Farhi, Jeffrey Goldstone, Joshua M. Lapan, A. P. Lundgren, Andrew M. Childs, Michael Sipser, Leo Zhou, John Frampton, E. Deotto and Daniel Nagaj. Their work appears in journals such as Physical Review A, Quantum Information and Computation, Annals of Physics, The Annals of Statistics and Syntax.
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.