Frank P. Ferrie
- Computer Vision and Pattern Recognition top 1%
- Aerospace Engineering top 2%
- Geology top 2%
- Computational Mechanics top 5%
- Artificial Intelligence top 10%
- Co-authors
- P. WhaiteMichel AudetteT.M. PetersTal ArbelRuisheng WangJane MacfarlaneMartin D. LevineJeff Bach
- Topics
- Robotics and Sensor-Based Localization (28 papers)Advanced Vision and Imaging (25 papers)Image and Object Detection Techniques (16 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligencePattern RecognitionInternational Journal of Computer Vision
- Partner nations
- CanadaSwedenUnited States
In The Last Decade
Frank P. Ferrie
76 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 111
- Computer Vision and Pattern Recognition 934
- Aerospace Engineering 554
- Geology 190
- Computational Mechanics 162
- Artificial Intelligence 149
Countries citing papers authored by Frank P. Ferrie
This map shows the geographic impact of Frank P. Ferrie'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 Frank P. Ferrie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frank P. Ferrie more than expected).
Fields of papers citing papers by Frank P. Ferrie
This network shows the impact of papers produced by Frank P. Ferrie. 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 Frank P. Ferrie. The network helps show where Frank P. Ferrie may publish in the future.
Co-authorship network of co-authors of Frank P. Ferrie
This figure shows the co-authorship network connecting the top 25 collaborators of Frank P. Ferrie. A scholar is included among the top collaborators of Frank P. Ferrie 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 Frank P. Ferrie. Frank P. Ferrie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | Learning a Metric Space for Neighbourhood Topology Estimation: Application to Manifold Learning | 2 |
| 3 | A Note on Metric Properties for Some Divergence Measures: The Gaussian Case | 32 |
| 4 | Finding anomalies in high-density LiDAR point clouds | 4 |
| 5 | 6 | |
| 6 | 3 | |
| 7 | 31 | |
| 8 | 7 | |
| 9 | 42 | |
| 10 | 15 | |
| 11 | 6 | |
| 12 | 0 | |
| 13 | 0 | |
| 14 | Neptec 3D Laser Camera System: from space mission STS-105 to terrestrial applications | 19 |
| 15 | 1 | |
| 16 | 280 | |
| 17 | 2 | |
| 18 | 1 | |
| 19 | 2 | |
| 20 | 20 |
About Frank P. Ferrie
Frank P. Ferrie is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Geology, having authored 79 papers that have together received 1.4k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (28 papers), Advanced Vision and Imaging (25 papers) and Image and Object Detection Techniques (16 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (934 citations), Geology (190 citations) and Computer Graphics and Computer-Aided Design (85 citations). Frank P. Ferrie has collaborated with scholars based in Canada, Sweden and United States. Frequent co-authors include P. Whaite, Michel Audette, T.M. Peters, Tal Arbel, Ruisheng Wang, Jane Macfarlane, Martin D. Levine, Jeff Bach, Kaleem Siddiqi and Terry M. Peters. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and International Journal of Computer Vision.
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.