Larry Rendell
Impact in
- Artificial Intelligence top 1%
- Machine Learning and Data Classification
- Neural Networks and Applications
- Machine Learning and Algorithms
- Evolutionary Algorithms and Applications
- Imbalanced Data Classification Techniques
-
- Rough Sets and Fuzzy Logic
Papers in
-
- Machine Learning and Data Classification 12
- Machine Learning and Algorithms 11
- AI-based Problem Solving and Planning 11
- Evolutionary Algorithms and Applications 9
- Neural Networks and Applications 7
- Fuzzy Logic and Control Systems 5
-
- Data Mining Algorithms and Applications 11
- Co-authors
- Kenji Kira (1 shared paper)Christopher J. Matheus (2 shared papers)David Tcheng (4 shared papers)Stephen C.-Y. Lu (1 shared paper)Gunnar Blix (1 shared paper)Bruce L. Lambert (1 shared paper)Benjamin W. Wah (1 shared paper)Michael J. Shaw (1 shared paper)
- Journals
- Machine Learning (6 papers)AI Magazine (1 paper)The Knowledge Engineering Review (1 paper)Journal of Artificial Intelligence Research (1 paper)Artificial Intelligence (1 paper)
- Partner nations
- United StatesCanadaIndonesia
In The Last Decade
Larry Rendell
45 papers receiving 1.9k citations
Larry Rendell's Hit Papers
Peers
Comparison fields: 5 of 148
- Artificial Intelligence 1.3k
- Computational Theory and Mathematics 315
- Information Systems 434
- Computer Vision and Pattern Recognition 383
- Signal Processing 159
Countries citing papers authored by Larry Rendell
This map shows the geographic impact of Larry Rendell'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 Larry Rendell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Larry Rendell more than expected).
Fields of papers citing papers by Larry Rendell
This network shows the impact of papers produced by Larry Rendell. 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 Larry Rendell. The network helps show where Larry Rendell may publish in the future.
Co-authors
The 18 scholars most cited alongside Larry Rendell, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The feature selection problem: traditional methods and a new algorithm Hit paper breakdown → | 1992 | 1261 |
| 2 | Constructive induction on decision trees | 1989 | 107 |
| 3 | 1986 | 77 | |
| 4 | 1983 | 74 | |
| 5 | 1990 | 60 | |
| 6 | 1986 | 44 | |
| 7 | Layered concept-learning and dynamically variable bias management | 1987 | 37 |
| 8 | 1990 | 36 | |
| 9 | Building robust learning systems by combining induction and optimization | 1989 | 34 |
| 10 | 1985 | 31 | |
| 11 | Learning hard concepts through constructive induction: framework and rationale | 1994 | 31 |
| 12 | 1990 | 28 | |
| 13 | A scheme for feature construction and a comparison of empirical methods | 1991 | 26 |
| 14 | Feature construction: an analytic framework and an application to decision trees | 1990 | 25 |
| 15 | Genetic Plans and the Probabilistic Learning System: Synthesis and Results | 1985 | 18 |
| 16 | 1995 | 18 | |
| 17 | Improving the design of similarity-based rule-learning systems | 1989 | 18 |
| 18 | Improving the design of induction methods by analyzing algorithm functionality and data-based concept complexity | 1993 | 17 |
| 19 | Complex concept acquisition through directed search and feature caching | 1993 | 14 |
| 20 | Learning Hard Concepts. | 1988 | 14 |
About Larry Rendell
Larry Rendell is a scholar working on Artificial Intelligence, Information Systems, Computational Theory and Mathematics, Molecular Biology and Computer Networks and Communications, having authored 47 papers that have together received 2.1k indexed citations. Recurring topics across this work include Machine Learning and Data Classification (12 papers), Data Mining Algorithms and Applications (11 papers), Machine Learning and Algorithms (11 papers), AI-based Problem Solving and Planning (11 papers), Evolutionary Algorithms and Applications (9 papers), Neural Networks and Applications (7 papers), Rough Sets and Fuzzy Logic (7 papers) and Fuzzy Logic and Control Systems (5 papers). The work is most often cited by research in Artificial Intelligence (1.3k citations), Computational Theory and Mathematics (315 citations), Information Systems (434 citations), Computer Vision and Pattern Recognition (383 citations) and Signal Processing (159 citations). Larry Rendell has collaborated with scholars based in United States, Canada and Indonesia. Frequent co-authors include Kenji Kira, Christopher J. Matheus, David Tcheng, Stephen C.-Y. Lu, Gunnar Blix, Bruce L. Lambert, Benjamin W. Wah, Michael J. Shaw, Pankaj Mehra and Peter Haddawy. Their work appears in journals such as Machine Learning, AI Magazine, The Knowledge Engineering Review, Journal of Artificial Intelligence Research and Artificial 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.