Tim Oates

7.5k citations
158 papers · 4.1k · 2 hit papers · h-index 27

Impact in

    • Time Series Analysis and Forecasting
    • Music and Audio Processing
    • Data Management and Algorithms
    • Anomaly Detection Techniques and Applications
    • Topic Modeling

Papers in

    • Natural Language Processing Techniques 19
    • AI-based Problem Solving and Planning 17
    • Reinforcement Learning in Robotics 16
    • Advanced Text Analysis Techniques 14
    • Anomaly Detection Techniques and Applications 14
    • Topic Modeling 13
    • Time Series Analysis and Forecasting 28
    • Music and Audio Processing 12

Tim Oates

148 papers receiving 3.8k citations

Tim Oates's Hit Papers

Time series classification from scratch with deep neural networks: A strong baseline 2017 · 1.3k citations
1.3k0+3+7Years since publication4008001.2k

Peers

Tim Oates
Comparison fields: 5 of 168
  • Signal Processing 1.3k
  • Artificial Intelligence 1.9k
  • Information Systems 541
  • Computer Vision and Pattern Recognition 473
  • Cognitive Neuroscience 361
Replace Dinh Phung with:
Dinh Phung Australia
John Yearwood Australia
Jennifer Dy United States
Jan Koutník Switzerland
Irina Rish United States
Jesse Davis Belgium
Robi Polikar United States
Bo Xu China
Todd K. Leen United States
Bas R. Steunebrink Netherlands
Tim Oates relative to Dinh Phung Australia Dinh Phung's profile →
Citations per field
00.5×1.5×
Dinh Phung · 1×
Citations per year

Countries citing papers authored by Tim Oates

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Tim Oates Line = papers co-authored together Tim Oates links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 158 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 →
20171282
2
Encoding Time Series as Images for Visual Inspection and Classification Using Tiled Convolutional Neural Networks
Hit paper breakdown →
2015260
3 1999238
4 1993153
5 201196
6 200696
7 200693
8 201483
9
The Effects of Training Set Size on Decision Tree Complexity
199782
10 201878
11 199964
12 199762
13 201253
14
Large datasets lead to overly complex models: an explanation and a solution
199853
15
A Method for Clustering the Experiences of a Mobile Robot that Accords with Human Judgments
200050
16 200350
17
The framework for the national curriculum : a report by the expert panel for the national curriculum review
201150
18 201549
19
Searching for Structure in Multiple Streams of Data.
199648
20 200641

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 158 papers that have together received 4.1k indexed citations. Recurring topics across this work include Time Series Analysis and Forecasting (28 papers), Natural Language Processing Techniques (19 papers), AI-based Problem Solving and Planning (17 papers), Reinforcement Learning in Robotics (16 papers), Advanced Text Analysis Techniques (14 papers), Anomaly Detection Techniques and Applications (14 papers), Topic Modeling (13 papers) and Music and Audio Processing (12 papers). The work is most often cited by research in Signal Processing (1.3k citations), Artificial Intelligence (1.9k citations), Information Systems (541 citations), Computer Vision and Pattern Recognition (473 citations) and Cognitive Neuroscience (361 citations). Tim Oates has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Zhiguang Wang, Weizhong Yan, David Jensen, Paul R. Cohen, Foster Provost, Tim Finin, Pranam Kolari, Rebecca Gregory, Michael L. Anderson and Akshay Java. Their work appears in journals such as AI Magazine, The Journal of the Acoustical Society of America, PLoS ONE, Solar Physics and Behavioral and Brain Sciences.

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.

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