Tom Fawcett
- Artificial Intelligence top 0.05%
- Imbalanced Data Classification Techniques 17
- Anomaly Detection Techniques and Applications 8
- Machine Learning and Data Classification 7
- Artificial Intelligence in Games 3
- Signal Processing top 0.5%
- Health Information Management top 0.1%
- Information Systems top 0.1%
- Data Mining Algorithms and Applications 13
-
- Big Data and Business Intelligence 5
-
- Sport Psychology and Performance 4
-
- Motivation and Self-Concept in Sports 3
- Co-authors
- Foster ProvostRon KohaviNina MishraAlexandru Niculescu-MizilPeter FlachPaul ComfortIra J. HaimowitzSalvatore J. Stolfo
- Journals
- The Journal of Strength and Conditioning Research (4 papers)Machine Learning (4 papers)Big Data (3 papers)
- Partner nations
- United StatesUnited KingdomIreland
In The Last Decade
Tom Fawcett
38 papers receiving 19.0k citations
Hit Papers
Peers
Comparison fields: 5 of 232
- Artificial Intelligence 7.1k
- Signal Processing 1.4k
- Health Information Management 518
- Information Systems 2.4k
- Computer Vision and Pattern Recognition 2.2k
Countries citing papers authored by Tom Fawcett
This map shows the geographic impact of Tom Fawcett'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 Tom Fawcett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Fawcett more than expected).
Fields of papers citing papers by Tom Fawcett
This network shows the impact of papers produced by Tom Fawcett. 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 Tom Fawcett. The network helps show where Tom Fawcett may publish in the future.
Co-authorship network
The 16 scholars most cited alongside Tom Fawcett, 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 | 2016 | 10 | |
| 2 | 2015 | 53 | |
| 3 | 2015 | 9 | |
| 4 | 2014 | 16 | |
| 5 | Data science for business | 2013 | 45 |
| 6 | Data Science and its Relationship to Big Data and Data-Driven Decision Makingbreakdown → | 2013 | 868 |
| 7 | 2012 | 26 | |
| 8 | 2007 | 72 | |
| 9 | An introduction to ROC analysisbreakdown → | 2005 | 14469 |
| 10 | Proceedings, Twentieth International Conference on Machine Learning | 2003 | 233 |
| 11 | 2002 | 102 | |
| 12 | Fraud detection | 2002 | 38 |
| 13 | Tutorial notes of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining | 2001 | 1 |
| 14 | Robust classification systems for imprecise environments | 1998 | 88 |
| 15 | The Case against Accuracy Estimation for Comparing Induction Algorithmsbreakdown → | 1998 | 715 |
| 16 | 1998 | 27 | |
| 17 | Analysis and visualization of classifier performance: comparison under imprecise class and cost distributions | 1997 | 490 |
| 18 | Combining data mining and machine learning for effective user profiling | 1996 | 115 |
| 19 | 1992 | 3 | |
| 20 | CABOT: an adaptive approach to case-based search | 1991 | 13 |
About Tom Fawcett
Tom Fawcett is a scholar working on Artificial Intelligence, Health Information Management, Information Systems, Management Information Systems and Applied Psychology, having authored 38 papers that have together received 20.2k indexed citations. Recurring topics across this work include Imbalanced Data Classification Techniques (17 papers), Data Mining Algorithms and Applications (13 papers), Anomaly Detection Techniques and Applications (8 papers), Machine Learning and Data Classification (7 papers), Big Data and Business Intelligence (5 papers), Sport Psychology and Performance (4 papers), Artificial Intelligence in Games (3 papers) and Motivation and Self-Concept in Sports (3 papers). The work is most often cited by research in Artificial Intelligence (7.1k citations), Signal Processing (1.4k citations), Health Information Management (518 citations), Information Systems (2.4k citations) and Computer Vision and Pattern Recognition (2.2k citations). Tom Fawcett has collaborated with scholars based in United States, United Kingdom and Ireland. Frequent co-authors include Foster Provost, Ron Kohavi, Nina Mishra, Alexandru Niculescu-Mizil, Peter Flach, Paul Comfort, Ira J. Haimowitz, Salvatore J. Stolfo, Robert C. Holte and Edwina L. Rissland. Their work appears in journals such as The Journal of Strength and Conditioning Research, Machine Learning, Big Data, Data Mining and Knowledge Discovery and Pattern Recognition 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.