Daniel Seebacher
Impact in
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- Data Visualization and Analytics
- Video Analysis and Summarization
- Image Retrieval and Classification Techniques
- Signal Processing top 10%
- Time Series Analysis and Forecasting
Papers in
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- Data Visualization and Analytics 16
- Video Analysis and Summarization 9
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- Time Series Analysis and Forecasting 4
- Data Management and Algorithms 2
- Co-authors
- Daniel A. Keim (19 shared papers)Tobias Schreck (10 shared papers)Manuel Stein (13 shared papers)Halldór Janetzko (9 shared papers)Michael Grossniklaus (6 shared papers)Michael Behrisch (2 shared papers)Hanspeter Pfister (2 shared papers)Mennatallah El‐Assady (2 shared papers)
- Journals
- IEEE Transactions on Visualization and Computer Graphics (3 papers)IEEE Computer Graphics and Applications (2 papers)Sensors (1 paper)Journal of Sports Sciences (1 paper)Computer Graphics Forum (1 paper)
- Partner nations
- GermanyAustriaSwitzerland
In The Last Decade
Daniel Seebacher
22 papers receiving 374 citations
Peers
Comparison fields: 5 of 76
- Computer Vision and Pattern Recognition 227
- Signal Processing 72
- Orthopedics and Sports Medicine 45
- Artificial Intelligence 115
- Economics and Econometrics 74
Countries citing papers authored by Daniel Seebacher
This map shows the geographic impact of Daniel Seebacher'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 Daniel Seebacher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Seebacher more than expected).
Fields of papers citing papers by Daniel Seebacher
This network shows the impact of papers produced by Daniel Seebacher. 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 Daniel Seebacher. The network helps show where Daniel Seebacher may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Seebacher, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 95 | |
| 2 | 2017 | 62 | |
| 3 | 2016 | 45 | |
| 4 | 2018 | 39 | |
| 5 | 2018 | 27 | |
| 6 | 2021 | 24 | |
| 7 | 2020 | 17 | |
| 8 | 2018 | 14 | |
| 9 | 2021 | 11 | |
| 10 | 2016 | 10 | |
| 11 | 2019 | 8 | |
| 12 | 2018 | 6 | |
| 13 | 2024 | 5 | |
| 14 | 2016 | 5 | |
| 15 | 2016 | 4 | |
| 16 | 2018 | 4 | |
| 17 | 2017 | 4 | |
| 18 | 2019 | 3 | |
| 19 | Similarity-Driven Visual-Interactive Prediction of Movie Ratings and Box Office Results | 2013 | 2 |
| 20 | 2024 | 1 |
About Daniel Seebacher
Daniel Seebacher is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Economics and Econometrics, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 23 papers that have together received 388 indexed citations. Recurring topics across this work include Data Visualization and Analytics (16 papers), Video Analysis and Summarization (9 papers), Sports Analytics and Performance (5 papers), Time Series Analysis and Forecasting (4 papers), Balance, Gait, and Falls Prevention (2 papers), Geographic Information Systems Studies (2 papers), Anomaly Detection Techniques and Applications (2 papers) and Data Management and Algorithms (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (227 citations), Signal Processing (72 citations), Orthopedics and Sports Medicine (45 citations), Artificial Intelligence (115 citations) and Economics and Econometrics (74 citations). Daniel Seebacher has collaborated with scholars based in Germany, Austria and Switzerland. Frequent co-authors include Daniel A. Keim, Tobias Schreck, Manuel Stein, Halldór Janetzko, Michael Grossniklaus, Michael Behrisch, Hanspeter Pfister, Mennatallah El‐Assady, Johannes Fuchs and Nam Wook Kim. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, IEEE Computer Graphics and Applications, Sensors, Journal of Sports Sciences and Computer Graphics Forum.
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.