Fabian Beck
Impact in
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- Data Visualization and Analytics
- Video Analysis and Summarization
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- Complex Network Analysis Techniques
Papers in
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- Data Visualization and Analytics 57
- Video Analysis and Summarization 12
- Software 7
- Co-authors
- Stephan DiehlDaniel WeiskopfMichael BurchCorinna VehlowSebastian KochThomas ErtlTanja BlascheckShivam Agarwal
- Journals
- IEEE Transactions on Visualization and Computer Graphics (10 papers)Computer Graphics Forum (9 papers)PeerJ Computer Science (1 paper)Information Visualization (1 paper)Empirical Software Engineering (1 paper)
- Partner nations
- GermanyUnited StatesChile
In The Last Decade
Fabian Beck
84 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 100
- Computer Vision and Pattern Recognition 1.2k
- Statistical and Nonlinear Physics 453
- Software 117
- Signal Processing 236
- Information Systems 394
Countries citing papers authored by Fabian Beck
This map shows the geographic impact of Fabian Beck'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 Fabian Beck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabian Beck more than expected).
Fields of papers citing papers by Fabian Beck
This network shows the impact of papers produced by Fabian Beck. 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 Fabian Beck. The network helps show where Fabian Beck may publish in the future.
Co-authors
The 25 scholars most cited alongside Fabian Beck, 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 | 2024 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 1 | |
| 4 | 2021 | 13 | |
| 5 | 2020 | 1 | |
| 6 | 2020 | 6 | |
| 7 | 2019 | 8 | |
| 8 | 2018 | 1 | |
| 9 | 2017 | 17 | |
| 10 | 2016 | 3 | |
| 11 | 2015 | 4 | |
| 12 | 2015 | 78 | |
| 13 | 2014 | 134 | |
| 14 | 2013 | 16 | |
| 15 | 2013 | 15 | |
| 16 | Radial Edge Splatting for Visualizing Dynamic Directed Graphs. | 2012 | 3 |
| 17 | 2012 | 18 | |
| 18 | 2011 | 121 | |
| 19 | 2010 | 54 | |
| 20 | 2010 | 11 |
About Fabian Beck
Fabian Beck is a scholar working on Computer Vision and Pattern Recognition, Software, Information Systems, Artificial Intelligence and Signal Processing, having authored 89 papers that have together received 1.7k indexed citations. Recurring topics across this work include Data Visualization and Analytics (57 papers), Software Engineering Research (33 papers), Advanced Text Analysis Techniques (17 papers), Video Analysis and Summarization (12 papers), Advanced Software Engineering Methodologies (12 papers), Data Management and Algorithms (10 papers), Complex Network Analysis Techniques (10 papers) and Software System Performance and Reliability (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.2k citations), Statistical and Nonlinear Physics (453 citations), Software (117 citations), Signal Processing (236 citations) and Information Systems (394 citations). Fabian Beck has collaborated with scholars based in Germany, United States and Chile. Frequent co-authors include Stephan Diehl, Daniel Weiskopf, Michael Burch, Corinna Vehlow, Sebastian Koch, Thomas Ertl, Tanja Blascheck, Shivam Agarwal, Alexandre Bergel and Sebastian Baltes. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Computer Graphics Forum, PeerJ Computer Science, Information Visualization and Empirical Software Engineering.
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.