Vedran Sabol
Impact in
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- Data Visualization and Analytics
- Video Analysis and Summarization
- Image Retrieval and Classification Techniques
- Artificial Intelligence top 5%
- Semantic Web and Ontologies
- Advanced Text Analysis Techniques
Papers in
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- Data Visualization and Analytics 34
- Video Analysis and Summarization 12
- Image Retrieval and Classification Techniques 7
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- Data Management and Algorithms 9
Vedran Sabol
56 papers receiving 431 citations
Peers
Comparison fields: 5 of 62
- Computer Vision and Pattern Recognition 251
- Artificial Intelligence 219
- Information Systems 152
- Signal Processing 69
- Computer Science Applications 29
Countries citing papers authored by Vedran Sabol
This map shows the geographic impact of Vedran Sabol'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 Vedran Sabol with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vedran Sabol more than expected).
Fields of papers citing papers by Vedran Sabol
This network shows the impact of papers produced by Vedran Sabol. 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 Vedran Sabol. The network helps show where Vedran Sabol may publish in the future.
Co-authors
The 25 scholars most cited alongside Vedran Sabol, 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 | 2 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 11 | |
| 4 | 2019 | 4 | |
| 5 | 2017 | 12 | |
| 6 | uRank: Exploring Document Recommendations through an Interactive User-Driven Approach. | 2015 | 9 |
| 7 | 2015 | 3 | |
| 8 | Automated Visualization Support for Linked Research Data | 2013 | 7 |
| 9 | Incremental and Scalable Computation of Dynamic Topography Information Landscapes | 2012 | 3 |
| 10 | 2011 | 19 | |
| 11 | Visual Analyses on Linked Data – An Opportunity for both Fields | 2011 | 1 |
| 12 | 2010 | 2 | |
| 13 | Knowledge Discovery using the Knowminer Framework | 2009 | 8 |
| 14 | 2009 | 11 | |
| 15 | 2008 | 1 | |
| 16 | Visualization Metaphors for Multi-modal Meeting Data. | 2007 | 3 |
| 17 | 2005 | 2 | |
| 18 | 2005 | 2 | |
| 19 | InfoSky: Visual Exploration of Large Hierarchical Document Repositories | 2003 | 4 |
| 20 | 2002 | 24 |
About Vedran Sabol
Vedran Sabol is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Computer Science Applications and Information Systems, having authored 58 papers that have together received 467 indexed citations. Recurring topics across this work include Data Visualization and Analytics (34 papers), Semantic Web and Ontologies (16 papers), Video Analysis and Summarization (12 papers), Data Management and Algorithms (9 papers), Advanced Database Systems and Queries (8 papers), Image Retrieval and Classification Techniques (7 papers), Multimedia Communication and Technology (5 papers) and Biomedical Text Mining and Ontologies (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (251 citations), Artificial Intelligence (219 citations), Information Systems (152 citations), Signal Processing (69 citations) and Computer Science Applications (29 citations). Vedran Sabol has collaborated with scholars based in Austria, Germany and Malaysia. Frequent co-authors include Michael Granitzer, Wolfgang Kienreich, Eduardo Veas, Keith Andrews, Klaus Tochtermann, Frank Kappe, Peter Auer, Dickson Lukose, Christin Seifert and Tobias Schreck. Their work appears in journals such as Future Internet, Scientific Reports, Information Visualization, Frontiers in Big Data and Big Data Research.
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.