Paul E. Utgoff
Impact in
- Artificial Intelligence top 0.5%
- Machine Learning and Data Classification
- Neural Networks and Applications
- AI-based Problem Solving and Planning
- Machine Learning and Algorithms
- Evolutionary Algorithms and Applications
- Data Stream Mining Techniques
- Information Systems top 1%
- Data Mining Algorithms and Applications
Papers in
-
- Neural Networks and Applications 13
- Machine Learning and Data Classification 12
- AI-based Problem Solving and Planning 10
- Evolutionary Algorithms and Applications 10
- Artificial Intelligence in Games 9
- Machine Learning and Algorithms 8
-
- Data Mining Algorithms and Applications 17
- Co-authors
- Carla E. Brodley (8 shared papers)Tom M. Mitchell (4 shared papers)Ranan B. Banerji (3 shared papers)Margaret E. Connell (3 shared papers)Tom Fawcett (2 shared papers)Doina Precup (6 shared papers)Edward M. Riseman (3 shared papers)Sharad Saxena (3 shared papers)
- Journals
- Machine Learning (7 papers)Oceanography (2 papers)Neural Computation (1 paper)IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)
- Partner nations
- United StatesHong KongCanada
In The Last Decade
Paul E. Utgoff
63 papers receiving 3.3k citations
Paul E. Utgoff's Hit Papers
Peers
Comparison fields: 5 of 149
- Artificial Intelligence 2.7k
- Information Systems 922
- Computational Theory and Mathematics 529
- Signal Processing 310
- Computer Vision and Pattern Recognition 413
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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Incremental Induction of Decision Trees Hit paper breakdown → | 1989 | 617 |
| 2 | 1997 | 291 | |
| 3 | 1983 | 290 | |
| 4 | 1995 | 282 | |
| 5 | Shift of bias for inductive concept learning | 1984 | 231 |
| 6 | 2007 | 228 | |
| 7 | 1995 | 186 | |
| 8 | 1988 | 157 | |
| 9 | 1994 | 105 | |
| 10 | 2002 | 99 | |
| 11 | 1986 | 90 | |
| 12 | 1992 | 80 | |
| 13 | 1990 | 66 | |
| 14 | 2005 | 66 | |
| 15 | Two kinds of training information for evaluation function learning | 1991 | 58 |
| 16 | Learning Problem-Solving Heuristics Through Practice. | 1981 | 52 |
| 17 | Linear Machine Decision Trees | 1991 | 49 |
| 18 | 1994 | 45 | |
| 19 | Acquisition of appropriate bias for inductive concept learning | 1982 | 45 |
| 20 | On integrating apprentice learning and reinforcement learning | 1996 | 45 |
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 65 papers that have together received 3.7k indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (17 papers), Neural Networks and Applications (13 papers), Machine Learning and Data Classification (12 papers), AI-based Problem Solving and Planning (10 papers), Evolutionary Algorithms and Applications (10 papers), Artificial Intelligence in Games (9 papers), Rough Sets and Fuzzy Logic (8 papers) and Machine Learning and Algorithms (8 papers). The work is most often cited by research in Artificial Intelligence (2.7k citations), Information Systems (922 citations), Computational Theory and Mathematics (529 citations), Signal Processing (310 citations) and Computer Vision and Pattern Recognition (413 citations). Paul E. Utgoff has collaborated with scholars based in United States, Hong Kong and Canada. Frequent co-authors include Carla E. Brodley, Tom M. Mitchell, Ranan B. Banerji, Margaret E. Connell, Tom Fawcett, Doina Precup, Edward M. Riseman, Sharad Saxena, William M. Balch and Cabell S. Davis. Their work appears in journals such as Machine Learning, Oceanography, Neural Computation, IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans 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.