Carsten Griwodz
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- Image and Video Quality Assessment 56
- Video Analysis and Summarization 25
- Advanced Vision and Imaging 19
- Signal Processing top 1%
- Video Coding and Compression Technologies 31
- Computer Networks and Communications top 0.5%
- Peer-to-Peer Network Technologies 69
- Caching and Content Delivery 48
- Network Traffic and Congestion Control 46
- Gastroenterology top 2%
- Health Informatics top 5%
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- Multimedia Communication and Technology 37
- Co-authors
- Pål HalvorsenMichael A. RieglerHaakon RiiserDag JohansenKonstantin PogorelovThomas de LangeSigrun Losada EskelandPeter T. Schmidt
- Cited by
- Computer Vision and Pattern RecognitionSignal ProcessingComputer Networks and Communications
In The Last Decade
Carsten Griwodz
205 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Computer Vision and Pattern Recognition 1.8k
- Signal Processing 700
- Computer Networks and Communications 1.4k
- Gastroenterology 198
- Health Informatics 24
Countries citing papers authored by Carsten Griwodz
This map shows the geographic impact of Carsten Griwodz'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 Carsten Griwodz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carsten Griwodz more than expected).
Fields of papers citing papers by Carsten Griwodz
This network shows the impact of papers produced by Carsten Griwodz. 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 Carsten Griwodz. The network helps show where Carsten Griwodz may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Carsten Griwodz, 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 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 2 | |
| 5 | 2022 | 19 | |
| 6 | 2022 | 29 | |
| 7 | 2020 | 7 | |
| 8 | HyperKvasir, a comprehensive multi-class image and video dataset for gastrointestinal endoscopybreakdown → | 2020 | 261 |
| 9 | A Comparison of Deep Learning with Global Features for Gastrointestinal Disease Detection. | 2017 | 4 |
| 10 | Introduction to a Task on Context of Experience: Recommending Videos Suiting a Watching Situation | 2015 | 1 |
| 11 | 2015 | 1 | |
| 12 | Demo: Bagadus an integrated system for soccer analysis | 2012 | 0 |
| 13 | 2011 | 7 | |
| 14 | 2011 | 3 | |
| 15 | 2010 | 3 | |
| 16 | 2009 | 3 | |
| 17 | 2009 | 7 | |
| 18 | Proceedings of the 16th ACM international conference on Multimedia | 2008 | 120 |
| 19 | Assessment of Data Path Implementations for Download and Streaming. | 2005 | 2 |
| 20 | 1996 | 2 |
About Carsten Griwodz
Carsten Griwodz is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Signal Processing, having authored 214 papers that have together received 3.6k indexed citations. Recurring topics across this work include Peer-to-Peer Network Technologies (69 papers), Image and Video Quality Assessment (56 papers), Caching and Content Delivery (48 papers), Network Traffic and Congestion Control (46 papers), Multimedia Communication and Technology (37 papers), Video Coding and Compression Technologies (31 papers), Video Analysis and Summarization (25 papers) and Advanced Vision and Imaging (19 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.8k citations), Signal Processing (700 citations) and Computer Networks and Communications (1.4k citations). Carsten Griwodz has collaborated with scholars based in Norway, Germany and Sweden. Frequent co-authors include Pål Halvorsen, Michael A. Riegler, Haakon Riiser, Dag Johansen, Konstantin Pogorelov, Thomas de Lange, Sigrun Losada Eskeland, Peter T. Schmidt, Ragnhild Eg and Mathias Lux. Their work appears in journals such as Proceedings of the IEEE, IEEE Communications Surveys & Tutorials and IEEE Communications Magazine.
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.