Thomas Holleczek
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Biomedical Engineering
- Computer Networks and Communications top 5%
- Signal Processing top 5%
- Co-authors
- Gerhard TrösterDaniel RoggenPaul LukowiczRicardo ChavarriagaAlberto CalatroniDavid BannachGerald PirklAlois Ferscha
- Topics
- Context-Aware Activity Recognition Systems (6 papers)Winter Sports Injuries and Performance (4 papers)Human Mobility and Location-Based Analysis (4 papers)
- Journals
- Physical Review EInfoscience (Ecole Polytechnique Fédérale de Lausanne)
- Partner nations
- SwitzerlandGermanySingapore
In The Last Decade
Thomas Holleczek
14 papers receiving 750 citations
Hit Papers
Peers
Comparison fields: 5 of 70
- Computer Vision and Pattern Recognition 560
- Artificial Intelligence 222
- Biomedical Engineering 209
- Computer Networks and Communications 199
- Signal Processing 112
Countries citing papers authored by Thomas Holleczek
This map shows the geographic impact of Thomas Holleczek'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 Holleczek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Holleczek more than expected).
Fields of papers citing papers by Thomas Holleczek
This network shows the impact of papers produced by Thomas Holleczek. 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 Holleczek. The network helps show where Thomas Holleczek may publish in the future.
Co-authorship network of co-authors of Thomas Holleczek
This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Holleczek. A scholar is included among the top collaborators of Thomas Holleczek 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 Holleczek. Thomas Holleczek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 17 | |
| 3 | 16 | |
| 4 | 7 | |
| 5 | 6 | |
| 6 | Recording a Complex, Multi Modal Activity Data Set for Context Recognition | 20 |
| 7 | 16 | |
| 8 | Recording a complex, multi modal activity data set for context recogntion | 23 |
| 9 | 8 | |
| 10 | Collecting complex activity datasets in highly rich networked sensor environmentsbreakdown → | 524 |
| 11 | 62 | |
| 12 | 11 | |
| 13 | 69 | |
| 14 | 4 |
About Thomas Holleczek
Thomas Holleczek is a scholar working on Transportation, Human-Computer Interaction and Computer Vision and Pattern Recognition, having authored 14 papers that have together received 787 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (6 papers), Winter Sports Injuries and Performance (4 papers) and Human Mobility and Location-Based Analysis (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (560 citations), Transportation (87 citations) and Human-Computer Interaction (62 citations). Thomas Holleczek has collaborated with scholars based in Switzerland, Germany and Singapore. Frequent co-authors include Gerhard Tröster, Daniel Roggen, Paul Lukowicz, Ricardo Chavarriaga, Alberto Calatroni, David Bannach, Gerald Pirkl, Alois Ferscha, Clemens Holzmann and Kilian Förster. Their work appears in journals such as Physical Review E and Infoscience (Ecole Polytechnique Fédérale de Lausanne).
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.