Dan Grois
- Signal Processing top 2%
- Video Coding and Compression Technologies 30
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- Advanced Vision and Imaging 22
- Image and Video Quality Assessment 16
- Advanced Data Compression Techniques 11
- Advanced Image Processing Techniques 7
- Media Technology top 10%
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- Multimedia Communication and Technology 2
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- Infrared Target Detection Methodologies 1
- Calibration and Measurement Techniques 1
- Co-authors
- Ofer HadarDetlev MarpeTung NguyenOrly Yadid-PechtPradeep RamachandranKiho ChoiMin Woo ParkGeorg Maier
- Journals
- IEEE Transactions on Circuits and Systems for Video Technology (2 papers)SMPTE Motion Imaging Journal (2 papers)IEEE Sensors Journal (1 paper)
- Partner nations
- IsraelGermanyUnited States
In The Last Decade
Dan Grois
30 papers receiving 415 citations
Peers
Comparison fields: 5 of 30
- Signal Processing 352
- Computer Vision and Pattern Recognition 398
- Media Technology 26
- Hardware and Architecture 13
- Computer Networks and Communications 27
Countries citing papers authored by Dan Grois
This map shows the geographic impact of Dan Grois'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 Dan Grois with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Grois more than expected).
Fields of papers citing papers by Dan Grois
This network shows the impact of papers produced by Dan Grois. 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 Dan Grois. The network helps show where Dan Grois may publish in the future.
Co-authorship network
The 12 scholars most cited alongside Dan Grois, 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 | 2023 | 1 | |
| 2 | 2021 | 10 | |
| 3 | 2020 | 1 | |
| 4 | 2020 | 5 | |
| 5 | 2020 | 6 | |
| 6 | 2018 | 12 | |
| 7 | 2015 | 1 | |
| 8 | 2014 | 29 | |
| 9 | 2014 | 13 | |
| 10 | 2013 | 163 | |
| 11 | 2013 | 3 | |
| 12 | 2013 | 7 | |
| 13 | 2013 | 1 | |
| 14 | 2011 | 2 | |
| 15 | 2011 | 7 | |
| 16 | 2011 | 9 | |
| 17 | 2011 | 4 | |
| 18 | 2010 | 5 | |
| 19 | 2010 | 5 | |
| 20 | 2009 | 1 |
About Dan Grois
Dan Grois is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Sociology and Political Science, Aerospace Engineering and Electrical and Electronic Engineering, having authored 31 papers that have together received 447 indexed citations. Recurring topics across this work include Video Coding and Compression Technologies (30 papers), Advanced Vision and Imaging (22 papers), Image and Video Quality Assessment (16 papers), Advanced Data Compression Techniques (11 papers), Advanced Image Processing Techniques (7 papers), Multimedia Communication and Technology (2 papers), Infrared Target Detection Methodologies (1 paper) and Calibration and Measurement Techniques (1 paper). The work is most often cited by research in Signal Processing (352 citations), Computer Vision and Pattern Recognition (398 citations), Media Technology (26 citations), Hardware and Architecture (13 citations) and Computer Networks and Communications (27 citations). Dan Grois has collaborated with scholars based in Israel, Germany and United States. Frequent co-authors include Ofer Hadar, Detlev Marpe, Tung Nguyen, Orly Yadid-Pecht, Pradeep Ramachandran, Kiho Choi, Min Woo Park, Georg Maier, Benjamin Bross and Heiko Schwarz. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, SMPTE Motion Imaging Journal, IEEE Sensors Journal, Journal of Visual Communication and Image Representation and Advances in Multimedia.
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.