Adrian M. Peter
- Computer Vision and Pattern Recognition top 5%
- Computer Networks and Communications top 10%
- Signal Processing top 10%
- Artificial Intelligence
- Electrical and Electronic Engineering
- Co-authors
- Anand RangarajanCarlos E. OteroJeffrey HoMing–Hsuan YangIvica KostanicLuis Daniel OteroAbdulaziz AlsayyariK. Johnston
- Topics
- Image Retrieval and Classification Techniques (5 papers)Speech and Audio Processing (4 papers)Medical Image Segmentation Techniques (4 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceMonthly Notices of the Royal Astronomical SocietyIEEE Transactions on Image Processing
- Partner nations
- United StatesIndiaCanada
In The Last Decade
Adrian M. Peter
34 papers receiving 328 citations
Peers
Comparison fields: 5 of 87
- Computer Vision and Pattern Recognition 145
- Computer Networks and Communications 60
- Signal Processing 47
- Artificial Intelligence 42
- Electrical and Electronic Engineering 42
Countries citing papers authored by Adrian M. Peter
This map shows the geographic impact of Adrian M. Peter'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 Adrian M. Peter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adrian M. Peter more than expected).
Fields of papers citing papers by Adrian M. Peter
This network shows the impact of papers produced by Adrian M. Peter. 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 Adrian M. Peter. The network helps show where Adrian M. Peter may publish in the future.
Co-authorship network of co-authors of Adrian M. Peter
This figure shows the co-authorship network connecting the top 25 collaborators of Adrian M. Peter. A scholar is included among the top collaborators of Adrian M. Peter 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 Adrian M. Peter. Adrian M. Peter 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 | 1 | |
| 3 | 20 | |
| 4 | 8 | |
| 5 | 1 | |
| 6 | 6 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 27 | |
| 11 | 4 | |
| 12 | 9 | |
| 13 | 4 | |
| 14 | 2 | |
| 15 | 34 | |
| 16 | 17 | |
| 17 | 15 | |
| 18 | 35 | |
| 19 | 9 | |
| 20 | 1 |
About Adrian M. Peter
Adrian M. Peter is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Geometry and Topology, having authored 34 papers that have together received 340 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (5 papers), Speech and Audio Processing (4 papers) and Medical Image Segmentation Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (145 citations), Geometry and Topology (40 citations) and Signal Processing (47 citations). Adrian M. Peter has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Anand Rangarajan, Carlos E. Otero, Jeffrey Ho, Ming–Hsuan Yang, Ivica Kostanic, Luis Daniel Otero, Abdulaziz Alsayyari, K. Johnston, Georgios C. Anagnostopoulos and Kaleb Smith. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Monthly Notices of the Royal Astronomical Society and IEEE Transactions on Image Processing.
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.