Stephen Scott
Impact in
- Aging top 5%
- Clinical Biochemistry top 2%
- Advanced Glycation End Products research
Papers in
-
- Machine Learning and Algorithms 18
- Machine Learning and Data Classification 12
- Algorithms and Data Compression 10
- Imbalanced Data Classification Techniques 5
-
- Image Retrieval and Classification Techniques 8
- Advanced Image and Video Retrieval Techniques 8
- Image and Signal Denoising Methods 4
- Co-authors
- Martin R. BennettJerry L. NadlerCharles H. MatthewsMartin GoddardIsabelle GorenneAndrew I. RitchieAshok SamalNoe Gonzales
- Journals
- Machine Learning (6 papers)Circulation Research (4 papers)Endocrinology (2 papers)Journal of Computer and System Sciences (2 papers)Biochemical and Biophysical Research Communications (2 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Stephen Scott
79 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 160
- Aging 84
- Clinical Biochemistry 241
- Endocrinology, Diabetes and Metabolism 273
- Artificial Intelligence 514
- Physiology 417
Countries citing papers authored by Stephen Scott
This map shows the geographic impact of Stephen Scott'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 Stephen Scott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Scott more than expected).
Fields of papers citing papers by Stephen Scott
This network shows the impact of papers produced by Stephen Scott. 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 Stephen Scott. The network helps show where Stephen Scott may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Stephen Scott, 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 | 2021 | 33 | |
| 2 | 2020 | 146 | |
| 3 | 2015 | 23 | |
| 4 | 2014 | 34 | |
| 5 | 2014 | 8 | |
| 6 | 2008 | 9 | |
| 7 | 2008 | 38 | |
| 8 | A Faster Algorithm for Generalized Multiple-Instance Learning | 2004 | 14 |
| 9 | AN ANALYSIS OF MCMC SAMPLING METHODS FOR ESTIMATING WEIGHTED SUMS IN WINNOW | 2004 | 3 |
| 10 | 2004 | 5 | |
| 11 | 2003 | 10 | |
| 12 | Cost-Effective Approaches for Circuit Construction in WDM/SONET Rings | 2002 | 1 |
| 13 | 2002 | 30 | |
| 14 | 2001 | 20 | |
| 15 | A machine learning framework for automatically annotating web pages with simple HTML ontology extension (SHOE | 2000 | 2 |
| 16 | 2000 | 98 | |
| 17 | 1999 | 84 | |
| 18 | A Theoretical and Empirical Study of a Noise-Tolerant Algorithm to Learn Geormetric Patterns. | 1996 | 3 |
| 19 | 1996 | 59 | |
| 20 | 1994 | 25 |
About Stephen Scott
Stephen Scott is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Clinical Biochemistry, Computer Science Applications and Endocrinology, Diabetes and Metabolism, having authored 82 papers that have together received 2.5k indexed citations. Recurring topics across this work include Machine Learning and Algorithms (18 papers), Machine Learning and Data Classification (12 papers), Algorithms and Data Compression (10 papers), Image Retrieval and Classification Techniques (8 papers), Advanced Image and Video Retrieval Techniques (8 papers), Imbalanced Data Classification Techniques (5 papers), Image and Signal Denoising Methods (4 papers) and Advanced Glycation End Products research (4 papers). The work is most often cited by research in Aging (84 citations), Clinical Biochemistry (241 citations), Endocrinology, Diabetes and Metabolism (273 citations), Artificial Intelligence (514 citations) and Physiology (417 citations). Stephen Scott has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Martin R. Bennett, Jerry L. Nadler, Charles H. Matthews, Martin Goddard, Isabelle Gorenne, Andrew I. Ritchie, Ashok Samal, Noe Gonzales, Kun Deng and Sally A. Goldman. Their work appears in journals such as Machine Learning, Circulation Research, Endocrinology, Journal of Computer and System Sciences and Biochemical and Biophysical Research Communications.
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.