Daniel Seebacher
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- Data Visualization and Analytics 14
- Video Analysis and Summarization 7
- Orthopedics and Sports Medicine top 10%
- Signal Processing top 10%
- Time Series Analysis and Forecasting 3
- Data Management and Algorithms 2
- Economics and Econometrics top 10%
- Sports Analytics and Performance 5
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- Geographic Information Systems Studies 2
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- Complex Network Analysis Techniques 2
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- Building Energy and Comfort Optimization 1
- Co-authors
- Daniel A. KeimTobias SchreckManuel SteinHalldór JanetzkoMichael GrossniklausMichael BehrischHanspeter PfisterNam Wook Kim
- Journals
- IEEE Transactions on Visualization and Computer Graphics (3 papers)IEEE Computer Graphics and Applications (2 papers)Computer Graphics Forum (1 paper)
- Partner nations
- GermanyAustriaSwitzerland
In The Last Decade
Daniel Seebacher
18 papers receiving 302 citations
Peers
Comparison fields: 5 of 71
- Computer Vision and Pattern Recognition 194
- Orthopedics and Sports Medicine 45
- Signal Processing 54
- Economics and Econometrics 70
- Artificial Intelligence 80
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 4 | |
| 3 | 2021 | 10 | |
| 4 | 2020 | 14 | |
| 5 | 2019 | 1 | |
| 6 | 2019 | 1 | |
| 7 | 2019 | 8 | |
| 8 | 2018 | 29 | |
| 9 | 2018 | 4 | |
| 10 | 2018 | 20 | |
| 11 | 2018 | 15 | |
| 12 | 2018 | 89 | |
| 13 | 2018 | 1 | |
| 14 | 2017 | 58 | |
| 15 | 2016 | 4 | |
| 16 | 2016 | 8 | |
| 17 | 2016 | 42 | |
| 18 | 2016 | 4 | |
| 19 | Similarity-Driven Visual-Interactive Prediction of Movie Ratings and Box Office Results | 2013 | 2 |
About Daniel Seebacher
Daniel Seebacher is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Geography, Planning and Development, Physical Therapy, Sports Therapy and Rehabilitation and Economics and Econometrics, having authored 19 papers that have together received 314 indexed citations. Recurring topics across this work include Data Visualization and Analytics (14 papers), Video Analysis and Summarization (7 papers), Sports Analytics and Performance (5 papers), Time Series Analysis and Forecasting (3 papers), Geographic Information Systems Studies (2 papers), Complex Network Analysis Techniques (2 papers), Data Management and Algorithms (2 papers) and Building Energy and Comfort Optimization (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (194 citations), Orthopedics and Sports Medicine (45 citations), Signal Processing (54 citations), Economics and Econometrics (70 citations) and Artificial Intelligence (80 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, Nam Wook Kim, Liwei Shao and Ulrik Brandes. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, IEEE Computer Graphics and Applications, Computer Graphics Forum, Sensors and Journal of Sports Sciences.
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.