Michael C. Burl
Impact in
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- Advanced Image and Video Retrieval Techniques
- Face and Expression Recognition
- Aerospace Engineering top 1%
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Advanced SAR Imaging Techniques
Papers in
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- Image Retrieval and Classification Techniques 9
- Advanced Image and Video Retrieval Techniques 7
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- Planetary Science and Exploration 13
- Co-authors
- L.M. NovakPietro PeronaW.W. IrvingI. R. YoungThomas LeungAlex HolubUsama M. FayyadPadhraic Smyth
- Journals
- Magnetic Resonance in Medicine (3 papers)Journal of Computer Assisted Tomography (3 papers)Machine Learning (2 papers)Sensors and Actuators B Chemical (2 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (2 papers)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Michael C. Burl
75 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 148
- Computer Vision and Pattern Recognition 749
- Aerospace Engineering 743
- Media Technology 240
- Computer Science Applications 120
- Radiology, Nuclear Medicine and Imaging 406
Countries citing papers authored by Michael C. Burl
This map shows the geographic impact of Michael C. Burl'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 Michael C. Burl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael C. Burl more than expected).
Fields of papers citing papers by Michael C. Burl
This network shows the impact of papers produced by Michael C. Burl. 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 Michael C. Burl. The network helps show where Michael C. Burl may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael C. Burl, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | AEGIS Intelligent Targeting Deployed for the Curiosity Rover's ChemCam Instrument | 2016 | 1 |
| 2 | Automatic Image Analysis for Adaptive Instrument Targeting: Applications to MSL and Mars 2020 | 2014 | 1 |
| 3 | 2009 | 7 | |
| 4 | Onboard Image Registration from Invariant Features | 2008 | 3 |
| 5 | 2002 | 13 | |
| 6 | 1999 | 30 | |
| 7 | Modeling subjective uncertainty in image annotation | 1996 | 6 |
| 8 | 1996 | 73 | |
| 9 | 1996 | 14 | |
| 10 | Trainable Cataloging for Digital Image Libraries with Applications to Volcano Detection | 1995 | 5 |
| 11 | Locating Small Volcanoes on Venus Using a Scientist-Trainable Analysis System | 1995 | 2 |
| 12 | Face Localization via Shape Statistics | 1995 | 55 |
| 13 | 1995 | 23 | |
| 14 | Knowledge discovery in large image databases: dealing with uncertainties in ground truth | 1994 | 26 |
| 15 | Inferring Ground Truth from Subjective Labelling of Venus Images | 1994 | 176 |
| 16 | 1994 | 1 | |
| 17 | A Statistical Approach to Adaptive Problem-Solving for Large-Scale Scheduling and Resource Allocation Problems | 1994 | 1 |
| 18 | Algorithms for Optimal Processing of Polarimetric Radar Data | 1989 | 2 |
| 19 | 1989 | 36 | |
| 20 | 1981 | 99 |
About Michael C. Burl
Michael C. Burl is a scholar working on Computer Vision and Pattern Recognition, Astronomy and Astrophysics, Media Technology, Aerospace Engineering and Artificial Intelligence, having authored 78 papers that have together received 2.7k indexed citations. Recurring topics across this work include Planetary Science and Exploration (13 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (9 papers), Image Retrieval and Classification Techniques (9 papers), Advanced MRI Techniques and Applications (9 papers), Advanced Chemical Sensor Technologies (7 papers), Advanced Image and Video Retrieval Techniques (7 papers), Machine Learning and Algorithms (6 papers) and Geochemistry and Geologic Mapping (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (749 citations), Aerospace Engineering (743 citations), Media Technology (240 citations), Computer Science Applications (120 citations) and Radiology, Nuclear Medicine and Imaging (406 citations). Michael C. Burl has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include L.M. Novak, Pietro Perona, W.W. Irving, I. R. Young, Thomas Leung, Alex Holub, Pietro Perona, Usama M. Fayyad, Padhraic Smyth and Nathan S. Lewis. Their work appears in journals such as Magnetic Resonance in Medicine, Journal of Computer Assisted Tomography, Machine Learning, Sensors and Actuators B Chemical and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.