Margaret Pinson
- Computer Vision and Pattern Recognition top 0.5%
- Signal Processing top 1%
- Media Technology top 1%
- Sociology and Political Science top 10%
- Computer Networks and Communications top 5%
- Co-authors
- Stephen WolfA. WebsterLucjan JanowskiGregory W. CermakStephen VoranMarcus BarkowskyLark Kwon ChoiAlan C. Bovik
- Topics
- Image and Video Quality Assessment (39 papers)Advanced Image Processing Techniques (14 papers)Video Coding and Compression Technologies (13 papers)
- Journals
- IEEE Signal Processing MagazineACM SIGCOMM Computer Communication ReviewIEEE Transactions on Multimedia
- Partner nations
- United StatesPolandFrance
In The Last Decade
Margaret Pinson
40 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 74
- Computer Vision and Pattern Recognition 1.8k
- Signal Processing 756
- Media Technology 271
- Sociology and Political Science 232
- Computer Networks and Communications 213
Countries citing papers authored by Margaret Pinson
This map shows the geographic impact of Margaret Pinson'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 Margaret Pinson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Margaret Pinson more than expected).
Fields of papers citing papers by Margaret Pinson
This network shows the impact of papers produced by Margaret Pinson. 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 Margaret Pinson. The network helps show where Margaret Pinson may publish in the future.
Co-authorship network of co-authors of Margaret Pinson
This figure shows the co-authorship network connecting the top 25 collaborators of Margaret Pinson. A scholar is included among the top collaborators of Margaret Pinson 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 Margaret Pinson. Margaret Pinson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 13 | |
| 3 | 3 | |
| 4 | 5 | |
| 5 | Gaps in Public-Safety Cameras | 0 |
| 6 | 3 | |
| 7 | 15 | |
| 8 | 58 | |
| 9 | 19 | |
| 10 | T1A1 Validation Test Database | 2 |
| 11 | A New Subjective Audiovisual & Video Quality Testing Recommendation | 3 |
| 12 | 47 | |
| 13 | A new method for immersive audiovisual subjective testing | 15 |
| 14 | 43 | |
| 15 | 9 | |
| 16 | 2 | |
| 17 | 50 | |
| 18 | 14 | |
| 19 | 24 | |
| 20 | 7 |
About Margaret Pinson
Margaret Pinson is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Instrumentation, having authored 42 papers that have together received 2.0k indexed citations. Recurring topics across this work include Image and Video Quality Assessment (39 papers), Advanced Image Processing Techniques (14 papers) and Video Coding and Compression Technologies (13 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.8k citations), Signal Processing (756 citations) and Media Technology (271 citations). Margaret Pinson has collaborated with scholars based in United States, Poland and France. Frequent co-authors include Stephen Wolf, A. Webster, Lucjan Janowski, Gregory W. Cermak, Stephen Voran, Marcus Barkowsky, Lark Kwon Choi, Alan C. Bovik, Patrick Le Callet and R. Guérin. Their work appears in journals such as IEEE Signal Processing Magazine, ACM SIGCOMM Computer Communication Review and IEEE Transactions on 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.