Scott McCloskey
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 10%
- Media Technology top 5%
- Astronomy and Astrophysics top 10%
- Aerospace Engineering
- Co-authors
- Michael AlbrightJingyi YuJason J. CorsoMichael LangerYuanyuan DingA. OkonM. RobinsonD. Limonadi
- Topics
- Image Processing Techniques and Applications (16 papers)Advanced Vision and Imaging (14 papers)Advanced Image Processing Techniques (14 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceSpace Science ReviewsJournal of Field Robotics
- Partner nations
- United StatesCanadaIndia
In The Last Decade
Scott McCloskey
34 papers receiving 515 citations
Peers
Comparison fields: 5 of 74
- Computer Vision and Pattern Recognition 393
- Artificial Intelligence 100
- Media Technology 96
- Astronomy and Astrophysics 83
- Aerospace Engineering 45
Countries citing papers authored by Scott McCloskey
This map shows the geographic impact of Scott McCloskey'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 Scott McCloskey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott McCloskey more than expected).
Fields of papers citing papers by Scott McCloskey
This network shows the impact of papers produced by Scott McCloskey. 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 Scott McCloskey. The network helps show where Scott McCloskey may publish in the future.
Co-authorship network of co-authors of Scott McCloskey
This figure shows the co-authorship network connecting the top 25 collaborators of Scott McCloskey. A scholar is included among the top collaborators of Scott McCloskey 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 Scott McCloskey. Scott McCloskey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | Source Generator Attribution via Inversion | 4 |
| 5 | Detecting Image Forgery Based On Color Phenomenology | 0 |
| 6 | 123 | |
| 7 | 8 | |
| 8 | 28 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 20 | |
| 12 | 9 | |
| 13 | 24 | |
| 14 | 91 | |
| 15 | 9 | |
| 16 | 12 | |
| 17 | 3 | |
| 18 | 6 | |
| 19 | 1 | |
| 20 | 1 |
About Scott McCloskey
Scott McCloskey is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Biophysics, having authored 40 papers that have together received 539 indexed citations. Recurring topics across this work include Image Processing Techniques and Applications (16 papers), Advanced Vision and Imaging (14 papers) and Advanced Image Processing Techniques (14 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (393 citations), Media Technology (96 citations) and Astronomy and Astrophysics (83 citations). Scott McCloskey has collaborated with scholars based in United States, Canada and India. Frequent co-authors include Michael Albright, Jingyi Yu, Jason J. Corso, Michael Langer, Yuanyuan Ding, Jingyi Yu, A. Okon, M. Robinson, D. Limonadi and Kyle Brown. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Space Science Reviews and Journal of Field Robotics.
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.