Scott E. Decatur
Impact in
- Artificial Intelligence top 5%
- Machine Learning and Algorithms
- Algorithms and Data Compression
- Machine Learning and Data Classification
- Imbalanced Data Classification Techniques
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- Complexity and Algorithms in Graphs
Papers in
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- Machine Learning and Algorithms 11
- Algorithms and Data Compression 10
- Imbalanced Data Classification Techniques 2
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- Computability, Logic, AI Algorithms 4
- Complexity and Algorithms in Graphs 4
- Co-authors
- Javed A. Aslam (3 shared papers)Javed Aslam (3 shared papers)Steven Skiena (3 shared papers)Martı́n Farach-Colton (3 shared papers)Serafim Batzoglou (3 shared papers)Richa Agarwala (3 shared papers)Vlado Dančík (3 shared papers)Sridhar Hannenhalli (3 shared papers)
- Journals
- Journal of Computational Biology (1 paper)Journal of Computer and System Sciences (1 paper)SIAM Journal on Computing (1 paper)Information and Computation (1 paper)Information Processing Letters (1 paper)
- Partner nations
- United StatesGermanyIsrael
In The Last Decade
Scott E. Decatur
16 papers receiving 263 citations
Peers
Comparison fields: 5 of 37
- Artificial Intelligence 216
- Computational Theory and Mathematics 75
- Molecular Biology 83
- Computer Graphics and Computer-Aided Design 4
- Computer Networks and Communications 20
Countries citing papers authored by Scott E. Decatur
This map shows the geographic impact of Scott E. Decatur'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 Scott E. Decatur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott E. Decatur more than expected).
Fields of papers citing papers by Scott E. Decatur
This network shows the impact of papers produced by Scott E. Decatur. 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 Scott E. Decatur. The network helps show where Scott E. Decatur may publish in the future.
Co-authors
The 16 scholars most cited alongside Scott E. Decatur, 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 | 1997 | 49 | |
| 2 | 1996 | 40 | |
| 3 | 1997 | 36 | |
| 4 | 1993 | 35 | |
| 5 | 1995 | 30 | |
| 6 | 1995 | 17 | |
| 7 | 2000 | 14 | |
| 8 | 1998 | 12 | |
| 9 | 1998 | 11 | |
| 10 | PAC Learning with Constant-Partition Classification Noise and Applications to Decision Tree Induction | 1997 | 10 |
| 11 | 1997 | 5 | |
| 12 | 2002 | 5 | |
| 13 | 1997 | 5 | |
| 14 | Improved Noise-Tolerant Learning and Generalized Statistical Queries | 1994 | 4 |
| 15 | Efficient learning from faulty data | 1995 | 4 |
| 16 | Application of neural networks to terrain classification | 1989 | 3 |
| 17 | 1995 | 1 |
About Scott E. Decatur
Scott E. Decatur is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Molecular Biology, Materials Chemistry and Computer Networks and Communications, having authored 17 papers that have together received 281 indexed citations. Recurring topics across this work include Machine Learning and Algorithms (11 papers), Algorithms and Data Compression (10 papers), Computability, Logic, AI Algorithms (4 papers), Complexity and Algorithms in Graphs (4 papers), Enzyme Structure and Function (3 papers), Protein Structure and Dynamics (3 papers), Imbalanced Data Classification Techniques (2 papers) and Theoretical and Computational Physics (2 papers). The work is most often cited by research in Artificial Intelligence (216 citations), Computational Theory and Mathematics (75 citations), Molecular Biology (83 citations), Computer Graphics and Computer-Aided Design (4 citations) and Computer Networks and Communications (20 citations). Scott E. Decatur has collaborated with scholars based in United States, Germany and Israel. Frequent co-authors include Javed A. Aslam, Javed Aslam, Steven Skiena, Martı́n Farach-Colton, Serafim Batzoglou, Richa Agarwala, Vlado Dančík, Sridhar Hannenhalli, S. Muthukrishnan and Rosario Gennaro. Their work appears in journals such as Journal of Computational Biology, Journal of Computer and System Sciences, SIAM Journal on Computing, Information and Computation and Information Processing Letters.
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.