Tim Oates
Impact in
- Signal Processing top 0.5%
- Time Series Analysis and Forecasting
- Artificial Intelligence top 1%
- AI-based Problem Solving and Planning
- Machine Learning and Data Classification
Papers in
-
- AI-based Problem Solving and Planning 25
- Reinforcement Learning in Robotics 24
- Topic Modeling 12
- Natural Language Processing Techniques 12
-
- Time Series Analysis and Forecasting 24
- Co-authors
- Zhiguang Wang (5 shared papers)Weizhong Yan (1 shared paper)David D. Jensen (7 shared papers)Paul R. Cohen (29 shared papers)Foster John Provost (2 shared papers)Tim Finin (11 shared papers)Michael L. Anderson (10 shared papers)Pranam Kolari (4 shared papers)
- Journals
- AI Magazine (3 papers)Lecture notes in computer science (23 papers)IEEE Transactions on Circuits and Systems I Regular Papers (1 paper)PLoS ONE (1 paper)Information Systems Frontiers (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Tim Oates
177 papers receiving 4.6k citations
Tim Oates's Hit Papers
Peers
Comparison fields: 5 of 146
- Signal Processing 884
- Artificial Intelligence 1.3k
- Information Systems 593
- Computer Vision and Pattern Recognition 444
- Cognitive Neuroscience 258
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 191 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 | 1527 |
| 2 | Encoding Time Series as Images for Visual Inspection and Classification Using Tiled Convolutional Neural Networks Hit paper breakdown → | 2015 | 291 |
| 3 | 1999 | 282 | |
| 4 | 1993 | 171 | |
| 5 | 2006 | 115 | |
| 6 | 2006 | 103 | |
| 7 | 2011 | 101 | |
| 8 | 2014 | 89 | |
| 9 | The Effects of Training Set Size on Decision Tree Complexity | 1997 | 88 |
| 10 | 2018 | 83 | |
| 11 | 1997 | 75 | |
| 12 | 1999 | 74 | |
| 13 | A Method for Clustering the Experiences of a Mobile Robot that Accords with Human Judgments | 2000 | 63 |
| 14 | 2012 | 63 | |
| 15 | 2014 | 62 | |
| 16 | 2003 | 58 | |
| 17 | Searching for Structure in Multiple Streams of Data. | 1996 | 57 |
| 18 | 2007 | 57 | |
| 19 | 2000 | 52 | |
| 20 | 2018 | 52 |
About Tim Oates
Tim Oates is a scholar working on Artificial Intelligence, Signal Processing, Information Systems, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, having authored 191 papers that have together received 4.9k indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (25 papers), Time Series Analysis and Forecasting (24 papers), Reinforcement Learning in Robotics (24 papers), Topic Modeling (12 papers), Natural Language Processing Techniques (12 papers), Data Mining Algorithms and Applications (12 papers), semigroups and automata theory (11 papers) and Advanced Neural Network Applications (8 papers). The work is most often cited by research in Signal Processing (884 citations), Artificial Intelligence (1.3k citations), Information Systems (593 citations), Computer Vision and Pattern Recognition (444 citations) and Cognitive Neuroscience (258 citations). Tim Oates has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Zhiguang Wang, Weizhong Yan, David D. Jensen, Paul R. Cohen, Foster John Provost, Tim Finin, Michael L. Anderson, Pranam Kolari, Akshay Java and Tinoosh Mohsenin. Their work appears in journals such as AI Magazine, Lecture notes in computer science, IEEE Transactions on Circuits and Systems I Regular Papers, PLoS ONE and Information Systems Frontiers.
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.