Samuel Gratzl
Impact in
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- Data Visualization and Analytics
- Video Analysis and Summarization
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- Scientific Computing and Data Management
Papers in
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- Data Visualization and Analytics 14
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- Scientific Computing and Data Management 4
- Co-authors
- Marc StreitAlexander LexNils GehlenborgHanspeter PfisterHarald PiringerMichael SedlmairHolger StitzNicola Cosgrove
- Journals
- IEEE Transactions on Visualization and Computer Graphics (8 papers)Value in Health (3 papers)Computer Graphics Forum (2 papers)JAMA Pediatrics (1 paper)Vaccine (1 paper)
- Partner nations
- United StatesAustriaAustralia
In The Last Decade
Samuel Gratzl
23 papers receiving 685 citations
Peers
Comparison fields: 5 of 103
- Computer Vision and Pattern Recognition 511
- Information Systems and Management 78
- Human-Computer Interaction 51
- Signal Processing 92
- Biophysics 39
Countries citing papers authored by Samuel Gratzl
This map shows the geographic impact of Samuel Gratzl'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 Samuel Gratzl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuel Gratzl more than expected).
Fields of papers citing papers by Samuel Gratzl
This network shows the impact of papers produced by Samuel Gratzl. 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 Samuel Gratzl. The network helps show where Samuel Gratzl may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Samuel Gratzl, 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 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2023 | 22 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 0 | |
| 7 | 2021 | 1 | |
| 8 | 2020 | 15 | |
| 9 | 2020 | 56 | |
| 10 | 2020 | 8 | |
| 11 | 2020 | 13 | |
| 12 | 2019 | 8 | |
| 13 | Taggle: Scalable Visualization of Tabular Data through Aggregation. | 2017 | 4 |
| 14 | 2016 | 56 | |
| 15 | 2016 | 21 | |
| 16 | 2015 | 13 | |
| 17 | 2014 | 38 | |
| 18 | 2014 | 52 | |
| 19 | 2013 | 34 | |
| 20 | 2013 | 210 |
About Samuel Gratzl
Samuel Gratzl is a scholar working on Computer Vision and Pattern Recognition, Information Systems and Management, Human-Computer Interaction, Statistical and Nonlinear Physics and Artificial Intelligence, having authored 25 papers that have together received 708 indexed citations. Recurring topics across this work include Data Visualization and Analytics (14 papers), Complex Network Analysis Techniques (4 papers), Data Analysis with R (4 papers), Scientific Computing and Data Management (4 papers), Bioinformatics and Genomic Networks (3 papers), Gene expression and cancer classification (3 papers), Pharmacology and Obesity Treatment (2 papers) and Advanced Text Analysis Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (511 citations), Information Systems and Management (78 citations), Human-Computer Interaction (51 citations), Signal Processing (92 citations) and Biophysics (39 citations). Samuel Gratzl has collaborated with scholars based in United States, Austria and Australia. Frequent co-authors include Marc Streit, Alexander Lex, Nils Gehlenborg, Hanspeter Pfister, Harald Piringer, Michael Sedlmair, Holger Stitz, Nicola Cosgrove, Thomas Zichner and Tim Dwyer. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Value in Health, Computer Graphics Forum, JAMA Pediatrics and Vaccine.
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.