Dennis Kibler
- Artificial Intelligence top 0.2%
- Information Systems top 0.5%
- Computer Vision and Pattern Recognition top 1%
- Signal Processing top 1%
- Computer Networks and Communications top 2%
- Co-authors
- David W. AhaMarc K. AlbertMichael J. PazzaniJohn S. ConeryÉtienne WengerStephen D. BayPadhraic SmythSteven E. Hampson
- Topics
- AI-based Problem Solving and Planning (12 papers)Logic, programming, and type systems (12 papers)Machine Learning and Data Classification (8 papers)
- Partner nations
- United StatesFranceTaiwan
In The Last Decade
Dennis Kibler
51 papers receiving 5.9k citations
Hit Papers
Peers
Comparison fields: 5 of 198
- Artificial Intelligence 3.8k
- Information Systems 1.3k
- Computer Vision and Pattern Recognition 1.0k
- Signal Processing 654
- Computer Networks and Communications 616
Countries citing papers authored by Dennis Kibler
This map shows the geographic impact of Dennis Kibler'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 Dennis Kibler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dennis Kibler more than expected).
Fields of papers citing papers by Dennis Kibler
This network shows the impact of papers produced by Dennis Kibler. 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 Dennis Kibler. The network helps show where Dennis Kibler may publish in the future.
Co-authorship network of co-authors of Dennis Kibler
This figure shows the co-authorship network connecting the top 25 collaborators of Dennis Kibler. A scholar is included among the top collaborators of Dennis Kibler based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dennis Kibler. Dennis Kibler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 24 | |
| 2 | Detecting Motifs from Sequences | 5 |
| 3 | Learning Symbolic Prototypes | 5 |
| 4 | Symbolic nearest mean classifiers | 12 |
| 5 | Generation of attributes for learning algorithms | 27 |
| 6 | SteppingStone: an empirical and analytical evaluation | 6 |
| 7 | A study of instance-based algorithms for supervised learning tasks : mathematical, empirical, and psychological evaluations | 57 |
| 8 | Making mathematics on paper : constructing representations of stories about related linear functions | 12 |
| 9 | Noise-tolerant instance-based learning algorithms | 71 |
| 10 | Learning subgoal sequences for planning | 10 |
| 11 | Parallelism in AI programs | 8 |
| 12 | 8 | |
| 13 | A comparison of analytic and experimental goal regression for machine learning | 8 |
| 14 | 32 | |
| 15 | Learning operator transformations | 8 |
| 16 | AND parallelism in logic programs | 14 |
| 17 | Episodic learning | 5 |
| 18 | Perturbation: a means for guiding generalization | 8 |
| 19 | Don't be stupid | 20 |
| 20 | Efficient Logic Programs: A Research Proposal | 3 |
About Dennis Kibler
Dennis Kibler is a scholar working on Artificial Intelligence, Hardware and Architecture and Software, having authored 55 papers that have together received 6.4k indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (12 papers), Logic, programming, and type systems (12 papers) and Machine Learning and Data Classification (8 papers). The work is most often cited by research in Artificial Intelligence (3.8k citations), Signal Processing (654 citations) and Software (221 citations). Dennis Kibler has collaborated with scholars based in United States, France and Taiwan. Frequent co-authors include David W. Aha, Marc K. Albert, Michael J. Pazzani, John S. Conery, Étienne Wenger, Stephen D. Bay, Padhraic Smyth, Steven E. Hampson, Rogers Hall and Bruce Porter. Their work appears in journals such as Bioinformatics, Circulation Research and Proceedings of the IEEE.
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.