Adam Prügel‐Bennett
- Artificial Intelligence top 1%
- Metaheuristic Optimization Algorithms Research 18
- Evolutionary Algorithms and Applications 16
- Neural Networks and Applications 9
- Information Systems top 2%
- Recommender Systems and Techniques 10
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- Advanced Multi-Objective Optimization Algorithms 7
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- Advanced Bandit Algorithms Research 7
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- Constraint Satisfaction and Optimization 13
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- Neural dynamics and brain function 8
- Co-authors
- Iwan SyarifGary WillsMustansar Ali GhazanfarJonathan ShapiroJohn HertzMohammad-H. Tayarani-N.Mudassar GhazanfarMark Nixon
- Journals
- IEEE Transactions on Evolutionary Computation (9 papers)Network Computation in Neural Systems (4 papers)Theoretical Computer Science (3 papers)
- Partner nations
- United KingdomDenmarkJapan
In The Last Decade
Adam Prügel‐Bennett
93 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Artificial Intelligence 1.1k
- Computer Vision and Pattern Recognition 436
- Information Systems 408
- Computational Theory and Mathematics 271
- Management Science and Operations Research 202
Countries citing papers authored by Adam Prügel‐Bennett
This map shows the geographic impact of Adam Prügel‐Bennett'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 Adam Prügel‐Bennett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adam Prügel‐Bennett more than expected).
Fields of papers citing papers by Adam Prügel‐Bennett
This network shows the impact of papers produced by Adam Prügel‐Bennett. 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 Adam Prügel‐Bennett. The network helps show where Adam Prügel‐Bennett may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Adam Prügel‐Bennett, 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 | 2022 | 11 | |
| 2 | 2022 | 9 | |
| 3 | 2021 | 11 | |
| 4 | FSPool: Learning Set Representations with Featurewise Sort Pooling | 2020 | 4 |
| 5 | 2020 | 33 | |
| 6 | Understanding and Enhancing Mixed Sample Data Augmentation. | 2020 | 8 |
| 7 | Deep Set Prediction Networks | 2019 | 8 |
| 8 | Learning Representations of Sets through Optimized Permutations | 2018 | 3 |
| 9 | Online mean field approximation for automated experimentation | 2015 | 0 |
| 10 | Fulfilling the Needs of Gray-Sheep Users in Recommender Systems, A Clustering Solution | 2011 | 14 |
| 11 | Novel Significance Weighting Schemes for Collaborative Filtering: Generating Improved Recommendations in Sparse Environments | 2010 | 7 |
| 12 | 2008 | 3 | |
| 13 | State-Based Sequencing: Directing The Evolution of Music | 2005 | 2 |
| 14 | 2004 | 50 | |
| 15 | 2004 | 38 | |
| 16 | The Dynamics of a Genetic Algorithm on a Model Hard Optimization Problem | 2000 | 15 |
| 17 | Finite Population Effects for Ranking and Tournament Selection | 2000 | 7 |
| 18 | Genetic algorithm dynamics in two-well potentials with basins and barrier | 1997 | 11 |
| 19 | Genetic Algorithm Dynamics in a Two-well Potential | 1996 | 2 |
| 20 | Non-Linear Statistical Analysis and Self-Organizing Hebbian Networks | 1993 | 2 |
About Adam Prügel‐Bennett
Adam Prügel‐Bennett is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computer Vision and Pattern Recognition, having authored 96 papers that have together received 2.3k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (18 papers), Evolutionary Algorithms and Applications (16 papers), Constraint Satisfaction and Optimization (13 papers), Recommender Systems and Techniques (10 papers), Neural Networks and Applications (9 papers), Neural dynamics and brain function (8 papers), Advanced Multi-Objective Optimization Algorithms (7 papers) and Advanced Bandit Algorithms Research (7 papers). The work is most often cited by research in Artificial Intelligence (1.1k citations), Computer Vision and Pattern Recognition (436 citations) and Information Systems (408 citations). Adam Prügel‐Bennett has collaborated with scholars based in United Kingdom, Denmark and Japan. Frequent co-authors include Iwan Syarif, Gary Wills, Mustansar Ali Ghazanfar, Jonathan Shapiro, John Hertz, Mohammad-H. Tayarani-N., Mudassar Ghazanfar, Mark Nixon, A. Rogers and Kyoung‐Jae Won. Their work appears in journals such as IEEE Transactions on Evolutionary Computation, Network Computation in Neural Systems, Theoretical Computer Science, Information Sciences 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.