Jeffrey C. Schlimmer
- Artificial Intelligence top 1%
- Neural Networks and Applications 5
- Semantic Web and Ontologies 5
- AI-based Problem Solving and Planning 5
- Machine Learning and Algorithms 3
- Signal Processing top 5%
- Information Systems top 2%
- Data Mining Algorithms and Applications 4
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- Data Quality and Management 2
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- Advanced Database Systems and Queries 2
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- Fault Detection and Control Systems 2
- Journals
- Journal of Artificial Intelligence Research (2 papers)Machine Learning (2 papers)Robotics and Autonomous Systems (1 paper)
- Partner nations
- United States
In The Last Decade
Jeffrey C. Schlimmer
20 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 78
- Artificial Intelligence 966
- Signal Processing 159
- Information Systems 280
- Management Science and Operations Research 138
- Computer Networks and Communications 160
Countries citing papers authored by Jeffrey C. Schlimmer
This map shows the geographic impact of Jeffrey C. Schlimmer'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 Jeffrey C. Schlimmer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey C. Schlimmer more than expected).
Fields of papers citing papers by Jeffrey C. Schlimmer
This network shows the impact of papers produced by Jeffrey C. Schlimmer. 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 Jeffrey C. Schlimmer. The network helps show where Jeffrey C. Schlimmer may publish in the future.
Co-authorship network
The 6 scholars most cited alongside Jeffrey C. Schlimmer, 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 | 2002 | 7 | |
| 2 | 1996 | 9 | |
| 3 | 1994 | 25 | |
| 4 | A cost-sensitive machine learning method for the approach and recognize task | 1993 | 2 |
| 5 | Using learned dependencies to automatically construct sufficient and sensible editing views | 1993 | 9 |
| 6 | 1993 | 1 | |
| 7 | 1993 | 45 | |
| 8 | 1993 | 1 | |
| 9 | Learning meta knowledge for database checking | 1991 | 8 |
| 10 | Paradigms for machine learning | 1991 | 1 |
| 11 | 1991 | 3 | |
| 12 | Justification-Based Refinement of Expert Knowledge. | 1991 | 2 |
| 13 | Two case studies in cost-sensitive concept acquisition | 1990 | 36 |
| 14 | Learning and representation change | 1987 | 24 |
| 15 | Concept acquisition through representational adjustment | 1987 | 119 |
| 16 | Beyond incremental processing: tracking concept drift | 1986 | 140 |
| 17 | A case study of incremental concept induction | 1986 | 184 |
| 18 | A note on correlational measures | 1986 | 2 |
| 19 | 1986 | 262 | |
| 20 | 1986 | 287 |
About Jeffrey C. Schlimmer
Jeffrey C. Schlimmer is a scholar working on Artificial Intelligence, Information Systems, Computer Science Applications, Human-Computer Interaction and Management Science and Operations Research, having authored 20 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neural Networks and Applications (5 papers), Semantic Web and Ontologies (5 papers), AI-based Problem Solving and Planning (5 papers), Data Mining Algorithms and Applications (4 papers), Machine Learning and Algorithms (3 papers), Advanced Database Systems and Queries (2 papers), Fault Detection and Control Systems (2 papers) and Data Quality and Management (2 papers). The work is most often cited by research in Artificial Intelligence (966 citations), Signal Processing (159 citations), Information Systems (280 citations), Management Science and Operations Research (138 citations) and Computer Networks and Communications (160 citations). Jeffrey C. Schlimmer has collaborated with scholars based in United States. Frequent co-authors include Richard Granger, Douglas Fisher, Ming Tan, John McDermott, T. M. Mitchell and Pat Langley. Their work appears in journals such as Journal of Artificial Intelligence Research, Machine Learning, Robotics and Autonomous Systems, IEEE Transactions on Education and MIT Press eBooks.
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.