Thomas Plötz

6.1k total citations · 2 hit papers
104 papers, 4.1k citations indexed

About

Thomas Plötz is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Thomas Plötz has authored 104 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Computer Vision and Pattern Recognition, 29 papers in Artificial Intelligence and 15 papers in Signal Processing. Recurrent topics in Thomas Plötz's work include Context-Aware Activity Recognition Systems (46 papers), Human Pose and Action Recognition (22 papers) and Anomaly Detection Techniques and Applications (19 papers). Thomas Plötz is often cited by papers focused on Context-Aware Activity Recognition Systems (46 papers), Human Pose and Action Recognition (22 papers) and Anomaly Detection Techniques and Applications (19 papers). Thomas Plötz collaborates with scholars based in United States, United Kingdom and Germany. Thomas Plötz's co-authors include Yu Guan, Nils Hammerla, Patrick Olivier, Gernot A. Fink, I. Kyriazakis, Michael I. Trenell, Gregory D. Abowd, Stephen G. Matthews, Dan Jackson and Harish Haresamudram and has published in prestigious journals such as PLoS ONE, Scientific Reports and Sensors.

In The Last Decade

Thomas Plötz

99 papers receiving 4.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Large Scale Population Assessment of Physical Activity Using Wrist Worn Accelerometers: The UK Biobank Study

2017 790 citations Dan Jackson, Thomas Plötz et al. PLoS ONE profile →
Ensembles of Deep LSTM Learners for Activity Recognition using Wearables

2017 370 citations Thomas Plötz et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Thomas Plötz United States	33	1.8k	737	632	607	397	104	4.1k
Nils Hammerla United Kingdom	21	680 0.4×	407 0.6×	312 0.5×	531 0.9×	158 0.4×	33	2.3k
Ilkka Korhonen Finland	37	1.2k 0.6×	261 0.4×	1.3k 2.1×	640 1.1×	430 1.1×	146	4.9k
Branko G. Celler Australia	38	2.2k 1.2×	488 0.7×	2.6k 4.1×	370 0.6×	724 1.8×	256	6.6k
Bjoern M. Eskofier Germany	39	1.3k 0.7×	930 1.3×	2.9k 4.7×	468 0.8×	492 1.2×	416	7.9k
Marjorie Skubic United States	40	3.1k 1.7×	870 1.2×	2.2k 3.5×	179 0.3×	485 1.2×	240	6.4k
M. Mathie Australia	10	1.4k 0.8×	197 0.3×	1.2k 1.9×	248 0.4×	332 0.8×	12	2.4k
Benny Lo United Kingdom	42	2.3k 1.3×	1.2k 1.6×	3.2k 5.0×	354 0.6×	929 2.3×	223	8.0k
Ioannis Pavlidis United States	36	1.1k 0.6×	284 0.4×	1.2k 1.9×	336 0.6×	47 0.1×	143	4.3k
Stephen Intille United States	42	2.3k 1.3×	485 0.7×	508 0.8×	1.2k 1.9×	452 1.1×	146	6.5k
Huiru Zheng United Kingdom	31	588 0.3×	403 0.5×	565 0.9×	97 0.2×	198 0.5×	272	3.8k

Countries citing papers authored by Thomas Plötz

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Thomas Plötz

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Plötz. A scholar is included among the top collaborators of Thomas Plötz 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 Plötz. Thomas Plötz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Plötz, Thomas, et al.. (2024). Emotion Recognition on the Go: Utilizing Wearable IMUs for Personalized Emotion Recognition. 537–544. 2 indexed citations

Legaspi, Roberto, et al.. (2024). A Synergistic Large Language Model and Supervised Learning Approach to Zero-Shot and Continual Activity Recognition in Smart Homes. 113–122. 4 indexed citations

Haresamudram, Harish, et al.. (2023). How Much Unlabeled Data is Really Needed for Effective Self-Supervised Human Activity Recognition?. 66–70. 5 indexed citations

Plötz, Thomas, et al.. (2023). The Lifespan of Human Activity Recognition Systems for Smart Homes. Sensors. 23(18). 7729–7729. 5 indexed citations

Legaspi, Roberto, et al.. (2023). Sensor Event Sequence Prediction for Proactive Smart Home Support Using Autoregressive Language Model. 54. 1–8. 2 indexed citations

Swain, Vedant Das, Hyeokhyen Kwon, Bahador Saket, et al.. (2023). Leveraging WiFi network logs to infer student collocation and its relationship with academic performance. EPJ Data Science. 12(1). 3 indexed citations

Morshed, Mehrab Bin, Koustuv Saha, Richard Li, et al.. (2022). Food, Mood, Context: Examining College Students’ Eating Context and Mental Well-being. 3(4). 1–26. 9 indexed citations

Kwon, Hyeokhyen, Gregory D. Abowd, & Thomas Plötz. (2021). Complex Deep Neural Networks from Large Scale Virtual IMU Data for Effective Human Activity Recognition Using Wearables. Sensors. 21(24). 8337–8337. 21 indexed citations

Plötz, Thomas. (2021). Applying Machine Learning for Sensor Data Analysis in Interactive Systems. ACM Computing Surveys. 54(6). 1–25. 26 indexed citations

10.

Shandhi, Md Mobashir Hasan, J. Alex Heller, Mozziyar Etemadi, et al.. (2020). Estimation of Instantaneous Oxygen Uptake During Exercise and Daily Activities Using a Wearable Cardio-Electromechanical and Environmental Sensor. IEEE Journal of Biomedical and Health Informatics. 25(3). 634–646. 30 indexed citations

11.

Schmidt, Philip, Robert Dürichen, Attila Reiss, Kristof Van Laerhoven, & Thomas Plötz. (2019). Multi-target affect detection in the wild: an exploratory study.. 211–219. 1 indexed citations

12.

McKenna, S.J., et al.. (2018). Multi-part segmentation for porcine offal inspection with auto-context and adaptive atlases. Pattern Recognition Letters. 112. 290–296. 4 indexed citations

13.

Matthews, Stephen G., Amy L. Miller, Thomas Plötz, & I. Kyriazakis. (2017). Automated tracking to measure behavioural changes in pigs for health and welfare monitoring. Scientific Reports. 7(1). 17582–17582. 125 indexed citations

14.

Plötz, Thomas, et al.. (2017). The genetic basis of novel water utilisation and drinking behaviour traits and their relationship with biological performance in turkeys. Genetics Selection Evolution. 49(1). 72–72. 4 indexed citations

15.

Moore, Sarah, Kate Hallsworth, Thomas Plötz, et al.. (2013). Physical Activity, Sedentary Behaviour and Metabolic Control following Stroke: A Cross-Sectional and Longitudinal Study. PLoS ONE. 8(1). e55263–e55263. 102 indexed citations

16.

Pham, Cuong, Clare Hooper, Stephen Lindsay, et al.. (2012). The ambient kitchen: a pervasive sensing environment for situated services. Lincoln Repository (University of Lincoln). 7 indexed citations

17.

Hooper, Clare, Anne Preston, Madeline Balaam, et al.. (2012). The french kitchen. 193–202. 27 indexed citations

18.

Newton, Julia L., Jessie Pairman, Kate Hallsworth, et al.. (2011). Physical activity intensity but not sedentary activity is reduced in chronic fatigue syndrome and is associated with autonomic regulation. QJM. 104(8). 681–687. 29 indexed citations

19.

Plötz, Thomas, et al.. (2007). Detecting hands in video images using scale invariant local descriptors. Neurochemistry International. 20(4). 259–264.

20.

Fink, Gernot A. & Thomas Plötz. (2006). Unsupervised Estimation of Writing Style Models for Improved Unconstrained Off-line Handwriting Recognition. INRIA a CCSD electronic archive server. 12 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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