Tim Oates
Impact in
- Signal Processing top 0.5%
- Time Series Analysis and Forecasting
- Music and Audio Processing
- Data Management and Algorithms
- Artificial Intelligence top 0.5%
- Anomaly Detection Techniques and Applications
- Topic Modeling
Papers in
-
- Natural Language Processing Techniques 23
- AI-based Problem Solving and Planning 20
- Machine Learning and Algorithms 17
- Reinforcement Learning in Robotics 17
- Anomaly Detection Techniques and Applications 17
- Topic Modeling 15
- Advanced Text Analysis Techniques 14
-
- Time Series Analysis and Forecasting 34
- Co-authors
- Zhiguang Wang (7 shared papers)Weizhong Yan (1 shared paper)David Jensen (8 shared papers)Paul R. Cohen (29 shared papers)Foster Provost (2 shared papers)Tim Finin (11 shared papers)Michael L. Anderson (11 shared papers)Pranam Kolari (4 shared papers)
- Journals
- AI Magazine (3 papers)Lecture notes in computer science (23 papers)The Journal of the Acoustical Society of America (2 papers)IBM Journal of Research and Development (1 paper)ACM Transactions on Knowledge Discovery from Data (1 paper)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Tim Oates
180 papers receiving 4.6k citations
Tim Oates's Hit Papers
Peers
Comparison fields: 5 of 172
- Signal Processing 1.6k
- Artificial Intelligence 2.4k
- Information Systems 678
- Computer Vision and Pattern Recognition 594
- Cognitive Neuroscience 412
Countries citing papers authored by Tim Oates
This map shows the geographic impact of Tim Oates'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 Tim Oates with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Oates more than expected).
Fields of papers citing papers by Tim Oates
This network shows the impact of papers produced by Tim Oates. 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 Tim Oates. The network helps show where Tim Oates may publish in the future.
Co-authors
The 25 scholars most cited alongside Tim Oates, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 194 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Time series classification from scratch with deep neural networks: A strong baseline Hit paper breakdown → | 2017 | 1399 |
| 2 | 1999 | 285 | |
| 3 | Encoding Time Series as Images for Visual Inspection and Classification Using Tiled Convolutional Neural Networks Hit paper breakdown → | 2015 | 281 |
| 4 | 1993 | 170 | |
| 5 | 2006 | 113 | |
| 6 | 2006 | 108 | |
| 7 | 2011 | 103 | |
| 8 | The Effects of Training Set Size on Decision Tree Complexity | 1997 | 95 |
| 9 | 2014 | 87 | |
| 10 | 2018 | 81 | |
| 11 | 1997 | 77 | |
| 12 | 1999 | 76 | |
| 13 | 2014 | 64 | |
| 14 | A Method for Clustering the Experiences of a Mobile Robot that Accords with Human Judgments | 2000 | 63 |
| 15 | 2012 | 60 | |
| 16 | 2003 | 60 | |
| 17 | Large datasets lead to overly complex models: an explanation and a solution | 1998 | 59 |
| 18 | The framework for the national curriculum : a report by the expert panel for the national curriculum review | 2011 | 59 |
| 19 | 2015 | 58 | |
| 20 | 2000 | 57 |
About Tim Oates
Tim Oates is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Information Systems and Computer Networks and Communications, having authored 194 papers that have together received 4.9k indexed citations. Recurring topics across this work include Time Series Analysis and Forecasting (34 papers), Natural Language Processing Techniques (23 papers), AI-based Problem Solving and Planning (20 papers), Machine Learning and Algorithms (17 papers), Reinforcement Learning in Robotics (17 papers), Anomaly Detection Techniques and Applications (17 papers), Topic Modeling (15 papers) and Advanced Text Analysis Techniques (14 papers). The work is most often cited by research in Signal Processing (1.6k citations), Artificial Intelligence (2.4k citations), Information Systems (678 citations), Computer Vision and Pattern Recognition (594 citations) and Cognitive Neuroscience (412 citations). Tim Oates has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Zhiguang Wang, Weizhong Yan, David Jensen, Paul R. Cohen, Foster Provost, Tim Finin, Michael L. Anderson, Pranam Kolari, Rebecca Gregory and Akshay Java. Their work appears in journals such as AI Magazine, Lecture notes in computer science, The Journal of the Acoustical Society of America, IBM Journal of Research and Development and ACM Transactions on Knowledge Discovery from Data.
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.