Steven M. Kautz
- Surgery
- Rehabilitation top 5%
- Epidemiology
- Computational Theory and Mathematics top 10%
- Artificial Intelligence
- Co-authors
- David L. SkaggsDaniel W. GreenKelly L. BartonCornelia K. KaminskyChristopher SheanVernon T. ToloRobert M. KayPeter Bro Miltersen
- Topics
- Computability, Logic, AI Algorithms (4 papers)semigroups and automata theory (3 papers)Elbow and Forearm Trauma Treatment (3 papers)
- Journals
- Theoretical Computer ScienceJournal of Computer and System SciencesJournal of Pediatric Orthopaedics
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Steven M. Kautz
12 papers receiving 248 citations
Peers
Comparison fields: 5 of 38
- Surgery 166
- Rehabilitation 123
- Epidemiology 91
- Computational Theory and Mathematics 66
- Artificial Intelligence 33
Countries citing papers authored by Steven M. Kautz
This map shows the geographic impact of Steven M. Kautz'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 Steven M. Kautz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven M. Kautz more than expected).
Fields of papers citing papers by Steven M. Kautz
This network shows the impact of papers produced by Steven M. Kautz. 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 Steven M. Kautz. The network helps show where Steven M. Kautz may publish in the future.
Co-authorship network of co-authors of Steven M. Kautz
This figure shows the co-authorship network connecting the top 25 collaborators of Steven M. Kautz. A scholar is included among the top collaborators of Steven M. Kautz 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 Steven M. Kautz. Steven M. Kautz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | Capsule-oriented Programming in the Panini Language | 7 |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 10 | |
| 7 | 7 | |
| 8 | 73 | |
| 9 | 65 | |
| 10 | 28 | |
| 11 | 13 | |
| 12 | 0 | |
| 13 | 6 | |
| 14 | 4 | |
| 15 | Degrees of random sets | 53 |
About Steven M. Kautz
Steven M. Kautz is a scholar working on Rehabilitation, Computational Theory and Mathematics and Hardware and Architecture, having authored 15 papers that have together received 270 indexed citations. Recurring topics across this work include Computability, Logic, AI Algorithms (4 papers), semigroups and automata theory (3 papers) and Elbow and Forearm Trauma Treatment (3 papers). The work is most often cited by research in Rehabilitation (123 citations), Computational Theory and Mathematics (66 citations) and Surgery (166 citations). Steven M. Kautz has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include David L. Skaggs, Daniel W. Green, Kelly L. Barton, Cornelia K. Kaminsky, Christopher Shean, Vernon T. Tolo, Robert M. Kay, Peter Bro Miltersen, Hridesh Rajan and Eric Lin. Their work appears in journals such as Theoretical Computer Science, Journal of Computer and System Sciences and Journal of Pediatric Orthopaedics.
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.