David M. McKeown
- Computer Vision and Pattern Recognition top 2%
- Ocean Engineering top 1%
- Environmental Engineering top 2%
- Media Technology top 1%
- Aerospace Engineering top 10%
- Co-authors
- R. Bruce IrvinWilson A. HarveyJohn McDermottJ. Chris McGloneJefferey ShufeltSteven Douglas CochranLambert E. WixsonMichel Roux
- Topics
- Remote Sensing and LiDAR Applications (16 papers)Advanced Image and Video Retrieval Techniques (13 papers)Robotics and Sensor-Based Localization (10 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Geoscience and Remote SensingComputer
- Partner nations
- United States
In The Last Decade
David M. McKeown
37 papers receiving 905 citations
Peers
Comparison fields: 5 of 77
- Computer Vision and Pattern Recognition 533
- Ocean Engineering 370
- Environmental Engineering 368
- Media Technology 336
- Aerospace Engineering 181
Countries citing papers authored by David M. McKeown
This map shows the geographic impact of David M. McKeown'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 David M. McKeown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David M. McKeown more than expected).
Fields of papers citing papers by David M. McKeown
This network shows the impact of papers produced by David M. McKeown. 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 David M. McKeown. The network helps show where David M. McKeown may publish in the future.
Co-authorship network of co-authors of David M. McKeown
This figure shows the co-authorship network connecting the top 25 collaborators of David M. McKeown. A scholar is included among the top collaborators of David M. McKeown 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 David M. McKeown. David M. McKeown is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 7 | |
| 7 | 108 | |
| 8 | 3 | |
| 9 | 55 | |
| 10 | 7 | |
| 11 | Integrating photogrammetric techniques with scene analysis and machine vision III : 21-23 April, 1997, Orlando, Florida | 0 |
| 12 | Feature matching for building extraction from multiple views. | 1 |
| 13 | Utilization of Multispectral Imagery for Cartographic Feature Extraction. | 9 |
| 14 | 1 | |
| 15 | 176 | |
| 16 | 12 | |
| 17 | 14 | |
| 18 | 206 | |
| 19 | 1 | |
| 20 | 3 |
About David M. McKeown
David M. McKeown is a scholar working on Geography, Planning and Development, Computer Vision and Pattern Recognition and Environmental Engineering, having authored 45 papers that have together received 1.1k indexed citations. Recurring topics across this work include Remote Sensing and LiDAR Applications (16 papers), Advanced Image and Video Retrieval Techniques (13 papers) and Robotics and Sensor-Based Localization (10 papers). The work is most often cited by research in Media Technology (336 citations), Computer Vision and Pattern Recognition (533 citations) and Environmental Engineering (368 citations). David M. McKeown has collaborated with scholars based in United States. Frequent co-authors include R. Bruce Irvin, Wilson A. Harvey, John McDermott, J. Chris McGlone, Jefferey Shufelt, Steven Douglas Cochran, Lambert E. Wixson, Michel Roux, Milind Tambe and Olivier Jamet. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and Computer.
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.