Paul E. Utgoff
- Artificial Intelligence top 0.5%
- Neural Networks and Applications 11
- Machine Learning and Data Classification 10
- Evolutionary Algorithms and Applications 7
- Machine Learning and Algorithms 5
- AI-based Problem Solving and Planning 5
- Information Systems top 1%
- Data Mining Algorithms and Applications 10
- Signal Processing top 5%
- Music and Audio Processing 4
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- Music Technology and Sound Studies 4
- Co-authors
- Carla E. BrodleyMargaret E. ConnellTom M. MitchellEdward M. RisemanWilliam M. BalchMichael E. SierackiQiao HuPhilippe Grosjean
- Journals
- Machine Learning (5 papers)Oceanography (2 papers)IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans (1 paper)
- Partner nations
- United StatesFrancePortugal
In The Last Decade
Paul E. Utgoff
48 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Artificial Intelligence 1.5k
- Information Systems 539
- Computational Theory and Mathematics 289
- Signal Processing 192
- Computer Vision and Pattern Recognition 289
Countries citing papers authored by Paul E. Utgoff
This map shows the geographic impact of Paul E. Utgoff'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 Paul E. Utgoff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul E. Utgoff more than expected).
Fields of papers citing papers by Paul E. Utgoff
This network shows the impact of papers produced by Paul E. Utgoff. 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 Paul E. Utgoff. The network helps show where Paul E. Utgoff may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Paul E. Utgoff, 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 | 2007 | 210 | |
| 2 | Detecting Motives and Recurring Patterns in PolyphonicMusic | 2006 | 5 |
| 3 | 2004 | 8 | |
| 4 | 2002 | 7 | |
| 5 | Feature construction for game playing | 2001 | 10 |
| 6 | Inferring Task Structure From Data | 2000 | 2 |
| 7 | Approximation Via Value Unification | 1999 | 3 |
| 8 | Classification Using Phi-Machines and Constructive Function Approximation | 1998 | 2 |
| 9 | Learning to Schedule Straight-Line Code | 1997 | 42 |
| 10 | 1995 | 165 | |
| 11 | An Improved Algorithm for Incremental Induction | 1994 | 2 |
| 12 | Algebraic Reasoning about Reactions: Discovery of Conserved Properties in Particle Physics | 1994 | 0 |
| 13 | Multivariate Versus Univariate Decision Trees | 1992 | 32 |
| 14 | Two kinds of training information for evaluation function learning | 1991 | 40 |
| 15 | Constructive induction on domain information | 1991 | 6 |
| 16 | 1990 | 19 | |
| 17 | Learning to control a dynamic physical system | 1987 | 19 |
| 18 | Adjusting bias in concept learning | 1983 | 19 |
| 19 | Acquisition of appropriate bias for inductive concept learning | 1982 | 34 |
| 20 | Learning Problem-Solving Heuristics Through Practice. | 1981 | 40 |
About Paul E. Utgoff
Paul E. Utgoff is a scholar working on Artificial Intelligence, Information Systems, Computational Theory and Mathematics, Signal Processing and Computer Vision and Pattern Recognition, having authored 49 papers that have together received 2.3k indexed citations. Recurring topics across this work include Neural Networks and Applications (11 papers), Data Mining Algorithms and Applications (10 papers), Machine Learning and Data Classification (10 papers), Evolutionary Algorithms and Applications (7 papers), Machine Learning and Algorithms (5 papers), AI-based Problem Solving and Planning (5 papers), Music Technology and Sound Studies (4 papers) and Music and Audio Processing (4 papers). The work is most often cited by research in Artificial Intelligence (1.5k citations), Information Systems (539 citations), Computational Theory and Mathematics (289 citations), Signal Processing (192 citations) and Computer Vision and Pattern Recognition (289 citations). Paul E. Utgoff has collaborated with scholars based in United States, France and Portugal. Frequent co-authors include Carla E. Brodley, Margaret E. Connell, Tom M. Mitchell, Edward M. Riseman, William M. Balch, Michael E. Sieracki, Qiao Hu, Philippe Grosjean, Ángel López‐Urrutia and H. D. Schulz. Their work appears in journals such as Machine Learning, Oceanography, IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans, Connection Science and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.