Andreas Sackl
Impact in
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- Image and Video Quality Assessment
- Visual Attention and Saliency Detection
- Human-Computer Interaction top 10%
- Virtual Reality Applications and Impacts
Papers in
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- Image and Video Quality Assessment 26
- Visual Attention and Saliency Detection 3
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- Caching and Content Delivery 6
- Network Traffic and Congestion Control 5
- Co-authors
- Raimund Schatz (19 shared papers)Sebastian Egger (6 shared papers)Pedro Casas (6 shared papers)Bruno Gardlo (3 shared papers)Patrick Zwickl (7 shared papers)Peter Reichl (7 shared papers)Christian Timmerer (1 shared paper)Peter Fröhlich (6 shared papers)
- Journals
- IEEE Transactions on Network and Service Management (1 paper)Lecture notes in computer science (2 papers)Lecture notes in geoinformation and cartography (1 paper)Information (1 paper)Applied System Innovation (1 paper)
- Partner nations
- AustriaGermanyUnited Kingdom
In The Last Decade
Andreas Sackl
39 papers receiving 552 citations
Peers
Comparison fields: 5 of 76
- Computer Vision and Pattern Recognition 372
- Human-Computer Interaction 60
- Media Technology 81
- Computer Networks and Communications 165
- Signal Processing 75
Countries citing papers authored by Andreas Sackl
This map shows the geographic impact of Andreas Sackl'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 Andreas Sackl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas Sackl more than expected).
Fields of papers citing papers by Andreas Sackl
This network shows the impact of papers produced by Andreas Sackl. 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 Andreas Sackl. The network helps show where Andreas Sackl may publish in the future.
Co-authors
The 25 scholars most cited alongside Andreas Sackl, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 67 | |
| 2 | 2016 | 59 | |
| 3 | 2017 | 43 | |
| 4 | 2012 | 40 | |
| 5 | 2015 | 30 | |
| 6 | 2018 | 27 | |
| 7 | 2012 | 23 | |
| 8 | 2013 | 22 | |
| 9 | 2012 | 22 | |
| 10 | 2013 | 21 | |
| 11 | 2017 | 19 | |
| 12 | 2012 | 18 | |
| 13 | 2016 | 17 | |
| 14 | 2015 | 16 | |
| 15 | 2013 | 15 | |
| 16 | 2014 | 13 | |
| 17 | 2022 | 13 | |
| 18 | 2014 | 12 | |
| 19 | 2015 | 11 | |
| 20 | 2014 | 9 |
About Andreas Sackl
Andreas Sackl is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Sociology and Political Science, Control and Systems Engineering and Marketing, having authored 43 papers that have together received 569 indexed citations. Recurring topics across this work include Image and Video Quality Assessment (26 papers), Multimedia Communication and Technology (7 papers), Caching and Content Delivery (6 papers), Network Traffic and Congestion Control (5 papers), Robot Manipulation and Learning (4 papers), E-Government and Public Services (3 papers), Consumer Market Behavior and Pricing (3 papers) and Visual Attention and Saliency Detection (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (372 citations), Human-Computer Interaction (60 citations), Media Technology (81 citations), Computer Networks and Communications (165 citations) and Signal Processing (75 citations). Andreas Sackl has collaborated with scholars based in Austria, Germany and United Kingdom. Frequent co-authors include Raimund Schatz, Sebastian Egger, Pedro Casas, Bruno Gardlo, Patrick Zwickl, Peter Reichl, Christian Timmerer, Peter Fröhlich, Manfred Tscheligi and Michael Seufert. Their work appears in journals such as IEEE Transactions on Network and Service Management, Lecture notes in computer science, Lecture notes in geoinformation and cartography, Information and Applied System Innovation.
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.