Robert E. Stepp
- Artificial Intelligence top 5%
- Information Systems top 5%
- Signal Processing top 10%
- Computational Theory and Mathematics top 5%
- Computer Vision and Pattern Recognition
- Co-authors
- Ryszard S. MichalskiS.C.-Y. LuEmanuele CaudaWilliam HoffLauren ChubbGwen NugentMark KleinRonald R. Kelly
- Topics
- AI-based Problem Solving and Planning (6 papers)Data Mining Algorithms and Applications (4 papers)Subtitles and Audiovisual Media (2 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceArtificial IntelligenceHuman Mutation
- Partner nations
- United StatesJapan
In The Last Decade
Robert E. Stepp
22 papers receiving 357 citations
Peers
Comparison fields: 5 of 77
- Artificial Intelligence 283
- Information Systems 119
- Signal Processing 87
- Computational Theory and Mathematics 81
- Computer Vision and Pattern Recognition 54
Countries citing papers authored by Robert E. Stepp
This map shows the geographic impact of Robert E. Stepp'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 Robert E. Stepp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert E. Stepp more than expected).
Fields of papers citing papers by Robert E. Stepp
This network shows the impact of papers produced by Robert E. Stepp. 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 Robert E. Stepp. The network helps show where Robert E. Stepp may publish in the future.
Co-authorship network of co-authors of Robert E. Stepp
This figure shows the co-authorship network connecting the top 25 collaborators of Robert E. Stepp. A scholar is included among the top collaborators of Robert E. Stepp 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 Robert E. Stepp. Robert E. Stepp is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 20 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 21 | |
| 6 | 1 | |
| 7 | CAQ: Making AQ Work with Engineering Problems | 1 |
| 8 | Concepts in conceptual clustering | 22 |
| 9 | 51 | |
| 10 | 12 | |
| 11 | 182 | |
| 12 | 6 | |
| 13 | 18 | |
| 14 | 3 | |
| 15 | 5 | |
| 16 | 1 | |
| 17 | 2 | |
| 18 | Educational technology for the '80's: introduction. | 0 |
| 19 | 0 | |
| 20 | Media and Early Childhood Education | 2 |
About Robert E. Stepp
Robert E. Stepp is a scholar working on Architecture, Artificial Intelligence and Developmental and Educational Psychology, having authored 27 papers that have together received 407 indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (6 papers), Data Mining Algorithms and Applications (4 papers) and Subtitles and Audiovisual Media (2 papers). The work is most often cited by research in Artificial Intelligence (283 citations), Signal Processing (87 citations) and Information Systems (119 citations). Robert E. Stepp has collaborated with scholars based in United States and Japan. Frequent co-authors include Ryszard S. Michalski, S.C.-Y. Lu, Emanuele Cauda, William Hoff, Lauren Chubb, Gwen Nugent, Mark Klein, Ronald R. Kelly, Stephen C.-Y. Lu and Jane W. S. Liu. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Artificial Intelligence and Human Mutation.
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.