Daniel Tretter
- Computer Vision and Pattern Recognition top 5%
- Media Technology top 10%
- Signal Processing
- Industrial and Manufacturing Engineering
- Social Psychology
- Topics
- Advanced Image and Video Retrieval Techniques (18 papers)Image Retrieval and Classification Techniques (10 papers)Visual Attention and Saliency Detection (9 papers)
- Cited by
- Computer Vision and Pattern RecognitionMedia TechnologyComputer Graphics and Computer-Aided Design
- Journals
- IEEE Transactions on Image ProcessingIEEE Transactions on MultimediaIEEE Robotics & Automation Magazine
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Daniel Tretter
44 papers receiving 336 citations
Peers
Comparison fields: 5 of 66
- Computer Vision and Pattern Recognition 304
- Media Technology 50
- Signal Processing 34
- Industrial and Manufacturing Engineering 26
- Social Psychology 23
Countries citing papers authored by Daniel Tretter
This map shows the geographic impact of Daniel Tretter'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 Daniel Tretter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Tretter more than expected).
Fields of papers citing papers by Daniel Tretter
This network shows the impact of papers produced by Daniel Tretter. 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 Daniel Tretter. The network helps show where Daniel Tretter may publish in the future.
Co-authorship network of co-authors of Daniel Tretter
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Tretter. A scholar is included among the top collaborators of Daniel Tretter based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel Tretter. Daniel Tretter is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 39 | |
| 2 | 5 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 12 | |
| 7 | 49 | |
| 8 | 8 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 8 | |
| 13 | 1 | |
| 14 | 9 | |
| 15 | 3 | |
| 16 | 3 | |
| 17 | 41 | |
| 18 | 2 | |
| 19 | 20 | |
| 20 | 2 |
About Daniel Tretter
Daniel Tretter is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Industrial and Manufacturing Engineering, having authored 45 papers that have together received 357 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (18 papers), Image Retrieval and Classification Techniques (10 papers) and Visual Attention and Saliency Detection (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (304 citations), Media Technology (50 citations) and Computer Graphics and Computer-Aided Design (14 citations). Daniel Tretter has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Qian Lin, Charles A. Bouman, Jie Zhou, Liang Tang, Heng Su, Xianwang Wang, Ying Wu, Tong Zhang, Qian Lin and Ping Wah Wong. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Multimedia and IEEE Robotics & Automation 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.