Thomas Plötz
Impact in
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- Context-Aware Activity Recognition Systems
- Human Pose and Action Recognition
- Human-Computer Interaction top 1%
Papers in
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- Context-Aware Activity Recognition Systems 46
- Human Pose and Action Recognition 22
- Handwritten Text Recognition Techniques 7
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- Anomaly Detection Techniques and Applications 19
- Co-authors
- Yu Guan (6 shared papers)Nils Hammerla (12 shared papers)Patrick Olivier (15 shared papers)Gernot A. Fink (17 shared papers)I. Kyriazakis (11 shared papers)Michael I. Trenell (5 shared papers)Gregory D. Abowd (13 shared papers)Harish Haresamudram (8 shared papers)
- Journals
- Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (13 papers)Sensors (5 papers)PLoS ONE (4 papers)Pervasive and Mobile Computing (3 papers)Computers and Electronics in Agriculture (2 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Thomas Plötz
99 papers receiving 4.2k citations
Thomas Plötz's Hit Papers
Peers
Comparison fields: 5 of 160
- Computer Vision and Pattern Recognition 1.8k
- Human-Computer Interaction 356
- Small Animals 315
- Physical Therapy, Sports Therapy and Rehabilitation 106
- Signal Processing 255
Countries citing papers authored by Thomas Plötz
This map shows the geographic impact of Thomas Plötz'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 Thomas Plötz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Plötz more than expected).
Fields of papers citing papers by Thomas Plötz
This network shows the impact of papers produced by Thomas Plötz. 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 Thomas Plötz. The network helps show where Thomas Plötz may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Plötz, 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 104 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Large Scale Population Assessment of Physical Activity Using Wrist Worn Accelerometers: The UK Biobank Study Hit paper breakdown → | 2017 | 837 |
| 2 | Ensembles of Deep LSTM Learners for Activity Recognition using Wearables Hit paper breakdown → | 2017 | 379 |
| 3 | 2016 | 192 | |
| 4 | 2009 | 145 | |
| 5 | 2012 | 136 | |
| 6 | 2017 | 126 | |
| 7 | 2016 | 126 | |
| 8 | 2020 | 102 | |
| 9 | 2013 | 102 | |
| 10 | 2013 | 92 | |
| 11 | 2020 | 91 | |
| 12 | 2014 | 89 | |
| 13 | 2012 | 89 | |
| 14 | 2010 | 80 | |
| 15 | 2003 | 73 | |
| 16 | 2018 | 72 | |
| 17 | 2022 | 70 | |
| 18 | 2019 | 68 | |
| 19 | 2015 | 67 | |
| 20 | 2019 | 56 |
About Thomas Plötz
Thomas Plötz is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Human-Computer Interaction and Biomedical Engineering, having authored 104 papers that have together received 4.3k indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (46 papers), Human Pose and Action Recognition (22 papers), Anomaly Detection Techniques and Applications (19 papers), Time Series Analysis and Forecasting (10 papers), Hand Gesture Recognition Systems (9 papers), IoT and Edge/Fog Computing (8 papers), Handwritten Text Recognition Techniques (7 papers) and Non-Invasive Vital Sign Monitoring (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.8k citations), Human-Computer Interaction (356 citations), Small Animals (315 citations), Physical Therapy, Sports Therapy and Rehabilitation (106 citations) and Signal Processing (255 citations). Thomas Plötz has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Yu Guan, Nils Hammerla, Patrick Olivier, Gernot A. Fink, I. Kyriazakis, Michael I. Trenell, Gregory D. Abowd, Harish Haresamudram, Dan Jackson and Stephen G. Matthews. Their work appears in journals such as Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, Sensors, PLoS ONE, Pervasive and Mobile Computing and Computers and Electronics in Agriculture.
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.