Thomas Ploetz

2.2k total citations
64 papers, 1.2k citations indexed

About

Thomas Ploetz is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Cognitive Neuroscience. According to data from OpenAlex, Thomas Ploetz has authored 64 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Vision and Pattern Recognition, 20 papers in Human-Computer Interaction and 9 papers in Cognitive Neuroscience. Recurrent topics in Thomas Ploetz's work include Context-Aware Activity Recognition Systems (24 papers), Interactive and Immersive Displays (11 papers) and Anomaly Detection Techniques and Applications (9 papers). Thomas Ploetz is often cited by papers focused on Context-Aware Activity Recognition Systems (24 papers), Interactive and Immersive Displays (11 papers) and Anomaly Detection Techniques and Applications (9 papers). Thomas Ploetz collaborates with scholars based in United States, United Kingdom and Germany. Thomas Ploetz's co-authors include Nils Hammerla, Péter András, Patrick Olivier, Richard Walker, Lynn Rochester, Reuben Kirkham, Cassim Ladha, James L. Fisher, Dan Jackson and Gregory D. Abowd and has published in prestigious journals such as SHILAP Revista de lepidopterología, Psychological Medicine and ACM Computing Surveys.

In The Last Decade

Thomas Ploetz

60 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Thomas Ploetz United States 19 364 258 198 177 141 64 1.2k
Sunghoon Ivan Lee United States 23 243 0.7× 162 0.6× 453 2.3× 155 0.9× 72 0.5× 87 1.4k
Burkhard C. Wünsche New Zealand 17 445 1.2× 327 1.3× 125 0.6× 134 0.8× 52 0.4× 148 1.3k
Salvatore Tedesco Ireland 20 216 0.6× 103 0.4× 443 2.2× 78 0.4× 81 0.6× 123 1.7k
Nils Hammerla United Kingdom 21 680 1.9× 213 0.8× 312 1.6× 215 1.2× 407 2.9× 33 2.3k
Woei‐Chyn Chu Taiwan 16 238 0.7× 65 0.3× 250 1.3× 108 0.6× 85 0.6× 52 911
Michela Goffredo Italy 19 431 1.2× 191 0.7× 677 3.4× 90 0.5× 94 0.7× 81 1.2k
Thomas Kirste Germany 17 442 1.2× 104 0.4× 65 0.3× 237 1.3× 256 1.8× 124 1.3k
Michael McNeill United Kingdom 15 178 0.5× 427 1.7× 155 0.8× 163 0.9× 36 0.3× 35 1.3k
Mark V. Albert United States 17 314 0.9× 40 0.2× 277 1.4× 254 1.4× 102 0.7× 57 1.1k
Stefan Göbel Germany 17 270 0.7× 536 2.1× 62 0.3× 156 0.9× 147 1.0× 100 1.5k

Countries citing papers authored by Thomas Ploetz

Since Specialization
Citations

This map shows the geographic impact of Thomas Ploetz'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 Ploetz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Ploetz more than expected).

Fields of papers citing papers by Thomas Ploetz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas Ploetz. 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 Ploetz. The network helps show where Thomas Ploetz may publish in the future.

Co-authorship network of co-authors of Thomas Ploetz

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Ploetz. A scholar is included among the top collaborators of Thomas Ploetz based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Thomas Ploetz. Thomas Ploetz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ploetz, Thomas, et al.. (2025). Transfer Learning in Sensor-Based Human Activity Recognition: A Survey. ACM Computing Surveys. 57(8). 1–39. 4 indexed citations
2.
Haresamudram, Harish, et al.. (2025). Layout-Agnostic Human Activity Recognition in Smart Homes through Textual Descriptions Of Sensor Triggers (TDOST). Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 9(1). 1–38. 2 indexed citations
3.
4.
Fayfman, Maya, et al.. (2023). Intelligent Care Management for Diabetic Foot Ulcers: A Scoping Review of Computer Vision and Machine Learning Techniques and Applications. Journal of Diabetes Science and Technology. 19(3). 820–829. 2 indexed citations
5.
Haresamudram, Harish, et al.. (2022). Clustering of Human Activities from Wearables by Adopting Nearest Neighbors. 1–5. 5 indexed citations
6.
7.
Morshed, Mehrab Bin, Richard Li, Koustuv Saha, et al.. (2020). A Real-Time Eating Detection System for Capturing Eating Moments and Triggering Ecological Momentary Assessments to Obtain Further Context: System Development and Validation Study. JMIR mhealth and uhealth. 8(12). e20625–e20625. 17 indexed citations
8.
Guan, Yu, et al.. (2018). Robust Cross-View Gait Identification with Evidence: A Discriminant Gait GAN (DiGGAN) Approach on 10000 People.. arXiv (Cornell University). 19 indexed citations
9.
Vanhoof, Maarten, et al.. (2018). Comparing Regional Patterns of Individual Movement Using Corrected Mobility Entropy. Journal of Urban Technology. 25(2). 27–61. 12 indexed citations
10.
Wu, Jason, et al.. (2018). Seesaw: rapid one-handed synchronous gesture interface for smartwatches.. 17–20. 1 indexed citations
11.
Rodgers, Helen, Lisa Shaw, Frederike van Wijck, et al.. (2018). Wristband accelerometers to motivate arm exercise after stroke (WAVES): Activity data from a pilot randomised controlled trial. Annals of Physical and Rehabilitation Medicine. 61. e31–e31. 1 indexed citations
12.
Rullmann, Michael, Julia Luthardt, Yvonne Boettcher, et al.. (2017). Serotonin transporter gene promoter methylation status correlates with in vivo prefrontal 5-HTT availability and reward function in human obesity. Translational Psychiatry. 7(7). e1167–e1167. 23 indexed citations
13.
Kharrufa, Ahmed, Thomas Ploetz, & Patrick Olivier. (2017). A Unified Model for User Identification on Multi-Touch Surfaces: A Survey and Meta-Analysis. ACM Transactions on Computer-Human Interaction. 24(6). 1–39. 8 indexed citations
14.
O’Brien, John T., Peter Gallagher, Daniel Stow, et al.. (2016). A study of wrist-worn activity measurement as a potential real-world biomarker for late-life depression. Psychological Medicine. 47(1). 93–102. 56 indexed citations
15.
Nabil, Sara, David Kirk, & Thomas Ploetz. (2016). Future of Ubiquitous Home Interaction with OUI Interiors. Human Factors in Computing Systems. 2 indexed citations
16.
Fisher, James, Nils Hammerla, Thomas Ploetz, et al.. (2016). Unsupervised home monitoring of Parkinson's disease motor symptoms using body-worn accelerometers. Parkinsonism & Related Disorders. 33. 44–50. 68 indexed citations
17.
Zia, Aneeq, Vinay Bettadapura, Eric L. Sarin, et al.. (2016). Automated video-based assessment of surgical skills for training and evaluation in medical schools. International Journal of Computer Assisted Radiology and Surgery. 11(9). 1623–1636. 62 indexed citations
18.
Kirk, David, et al.. (2015). Archival Liveness: Designing with Collections Before and During Cataloguing and Digitization. Digital humanities quarterly. 9(3). 9 indexed citations
19.
Hammerla, Nils, James L. Fisher, Péter András, et al.. (2015). PD Disease State Assessment in Naturalistic Environments Using Deep Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 29(1). 124 indexed citations
20.
Scherr, Johannes, Luis Roalter, Stefan Diewald, et al.. (2011). GymSkill: Mobile Exercise Skill Assessment to Support Personal Health and Fitness. 7 indexed citations

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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