Paul E. Utgoff
Impact in
- Artificial Intelligence top 0.5%
- Machine Learning and Data Classification
- Neural Networks and Applications
- Imbalanced Data Classification Techniques
- AI-based Problem Solving and Planning
- Machine Learning and Algorithms
- Data Stream Mining Techniques
- Information Systems top 1%
- Data Mining Algorithms and Applications
Papers in
-
- Neural Networks and Applications 11
- Machine Learning and Data Classification 10
- Evolutionary Algorithms and Applications 7
- AI-based Problem Solving and Planning 5
- Machine Learning and Algorithms 5
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- Data Mining Algorithms and Applications 10
- Co-authors
- Carla E. Brodley (6 shared papers)Margaret E. Connell (3 shared papers)Tom M. Mitchell (2 shared papers)Edward M. Riseman (3 shared papers)William M. Balch (1 shared paper)Philippe Grosjean (1 shared paper)Cynthia H. Pilskaln (1 shared paper)Phil Culverhouse (1 shared paper)
- Journals
- Machine Learning (5 papers)Oceanography (2 papers)IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans (1 paper)Connection Science (1 paper)Journal of Machine Learning Research (1 paper)
- Partner nations
- United StatesHong KongCanada
In The Last Decade
Paul E. Utgoff
48 papers receiving 2.1k citations
Paul E. Utgoff's Hit Papers
Peers
Comparison fields: 5 of 143
- Artificial Intelligence 1.5k
- Information Systems 536
- Computational Theory and Mathematics 287
- Signal Processing 191
- Computer Vision and Pattern Recognition 286
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-authors
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
Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Incremental Induction of Decision Trees Hit paper breakdown → | 1989 | 500 |
| 2 | 1997 | 225 | |
| 3 | 1995 | 224 | |
| 4 | 2007 | 217 | |
| 5 | 1995 | 167 | |
| 6 | Shift of bias for inductive concept learning | 1984 | 156 |
| 7 | 2002 | 82 | |
| 8 | 1986 | 72 | |
| 9 | 2005 | 63 | |
| 10 | Learning to Schedule Straight-Line Code | 1997 | 42 |
| 11 | Learning Problem-Solving Heuristics Through Practice. | 1981 | 40 |
| 12 | Two kinds of training information for evaluation function learning | 1991 | 40 |
| 13 | On integrating apprentice learning and reinforcement learning | 1996 | 39 |
| 14 | 1994 | 38 | |
| 15 | Linear Machine Decision Trees | 1991 | 37 |
| 16 | Acquisition of appropriate bias for inductive concept learning | 1982 | 34 |
| 17 | 1987 | 33 | |
| 18 | 1989 | 32 | |
| 19 | Multivariate Versus Univariate Decision Trees | 1992 | 31 |
| 20 | 2009 | 30 |
About Paul E. Utgoff
Paul E. Utgoff is a scholar working on Artificial Intelligence, Information Systems, Computational Theory and Mathematics, Computer Vision and Pattern Recognition and Signal Processing, 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), AI-based Problem Solving and Planning (5 papers), Machine Learning and Algorithms (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 (536 citations), Computational Theory and Mathematics (287 citations), Signal Processing (191 citations) and Computer Vision and Pattern Recognition (286 citations). Paul E. Utgoff has collaborated with scholars based in United States, Hong Kong and Canada. Frequent co-authors include Carla E. Brodley, Margaret E. Connell, Tom M. Mitchell, Edward M. Riseman, William M. Balch, Philippe Grosjean, Cynthia H. Pilskaln, Phil Culverhouse, Cabell S. Davis and Qiao Hu. 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 Journal of Machine Learning Research.
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.