William G. Macready
Impact in
- Artificial Intelligence top 0.05%
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
- Neural Networks and Applications
- Machine Learning and Data Classification
- Computational Theory and Mathematics top 0.05%
- Advanced Multi-Objective Optimization Algorithms
Papers in
-
- Quantum Computing Algorithms and Architecture 8
- Metaheuristic Optimization Algorithms Research 5
- Gaussian Processes and Bayesian Inference 4
- Quantum Information and Cryptography 4
- Machine Learning and Algorithms 3
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- Optimization and Search Problems 3
- Co-authors
- David H. Wolpert (10 shared papers)Stuart Kauffman (4 shared papers)José Lobo (1 shared paper)Fabián A. Chudak (6 shared papers)Zhengbing Bian (6 shared papers)Aidan Roy (3 shared papers)Brad Lackey (2 shared papers)Robert B. Israel (2 shared papers)
- Journals
- Physical review. B, Condensed matter (4 papers)IEEE Transactions on Evolutionary Computation (4 papers)Complexity (3 papers)Quantum Information Processing (2 papers)Journal of Theoretical Biology (1 paper)
- Partner nations
- United StatesCanadaItaly
In The Last Decade
William G. Macready
35 papers receiving 10.1k citations
William G. Macready's Hit Papers
Peers
Comparison fields: 5 of 203
- Artificial Intelligence 6.2k
- Computational Theory and Mathematics 3.0k
- Industrial and Manufacturing Engineering 811
- Management Science and Operations Research 702
- Computer Vision and Pattern Recognition 1.0k
Countries citing papers authored by William G. Macready
This map shows the geographic impact of William G. Macready'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 William G. Macready with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William G. Macready more than expected).
Fields of papers citing papers by William G. Macready
This network shows the impact of papers produced by William G. Macready. 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 William G. Macready. The network helps show where William G. Macready may publish in the future.
Co-authors
The 25 scholars most cited alongside William G. Macready, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | No free lunch theorems for optimization Hit paper breakdown → | 1997 | 9399 |
| 2 | 2000 | 172 | |
| 3 | 2005 | 139 | |
| 4 | 1999 | 103 | |
| 5 | 1995 | 84 | |
| 6 | 1998 | 80 | |
| 7 | 2014 | 79 | |
| 8 | 2020 | 69 | |
| 9 | 2013 | 61 | |
| 10 | 2001 | 58 | |
| 11 | 2004 | 47 | |
| 12 | 2016 | 46 | |
| 13 | 1996 | 39 | |
| 14 | 1996 | 37 | |
| 15 | 1995 | 34 | |
| 16 | 1992 | 26 | |
| 17 | 2007 | 21 | |
| 18 | QBoost: Large Scale Classifier Training with Adiabatic Quantum Optimization. | 2012 | 20 |
| 19 | 2011 | 20 | |
| 20 | 2020 | 18 |
About William G. Macready
William G. Macready is a scholar working on Artificial Intelligence, Computer Networks and Communications, Management Science and Operations Research, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, having authored 35 papers that have together received 10.6k indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (8 papers), Metaheuristic Optimization Algorithms Research (5 papers), Gaussian Processes and Bayesian Inference (4 papers), Quantum Information and Cryptography (4 papers), Optimization and Search Problems (3 papers), Physics of Superconductivity and Magnetism (3 papers), Advanced Bandit Algorithms Research (3 papers) and Machine Learning and Algorithms (3 papers). The work is most often cited by research in Artificial Intelligence (6.2k citations), Computational Theory and Mathematics (3.0k citations), Industrial and Manufacturing Engineering (811 citations), Management Science and Operations Research (702 citations) and Computer Vision and Pattern Recognition (1.0k citations). William G. Macready has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include David H. Wolpert, Stuart Kauffman, José Lobo, Fabián A. Chudak, Zhengbing Bian, Aidan Roy, Brad Lackey, Robert B. Israel, Arash Vahdat and Mario Köppen. Their work appears in journals such as Physical review. B, Condensed matter, IEEE Transactions on Evolutionary Computation, Complexity, Quantum Information Processing and Journal of Theoretical Biology.
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.