David Lowe
Impact in
- Computer Vision and Pattern Recognition top 0.01%
- Advanced Image and Video Retrieval Techniques
- Advanced Vision and Imaging
- Image Retrieval and Classification Techniques
- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
- Face and Expression Recognition
- Aerospace Engineering top 0.01%
- Robotics and Sensor-Based Localization
Papers in
-
- Advanced Image and Video Retrieval Techniques 50
- Advanced Vision and Imaging 28
- Image Retrieval and Classification Techniques 17
- Co-authors
- Marius Muja (5 shared papers)David S. Broomhead (1 shared paper)Matthew Brown (2 shared papers)David V. Goeddel (19 shared papers)Stephen Se (7 shared papers)James J. Little (11 shared papers)David L. Garbers (7 shared papers)J.S. Beis (4 shared papers)
- Journals
- Molecular and Cellular Biology (10 papers)Clinical Endocrinology (7 papers)International Journal of Computer Vision (7 papers)Journal of Biological Chemistry (7 papers)Histopathology (6 papers)
- Partner nations
- United KingdomCanadaUnited States
In The Last Decade
David Lowe
334 papers receiving 70.3k citations
David Lowe's Hit Papers
Peers
Comparison fields: 5 of 233
- Computer Vision and Pattern Recognition 49.9k
- Aerospace Engineering 22.5k
- Media Technology 7.0k
- Geology 4.3k
- Signal Processing 3.2k
Countries citing papers authored by David Lowe
This map shows the geographic impact of David Lowe'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 Lowe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Lowe more than expected).
Fields of papers citing papers by David Lowe
This network shows the impact of papers produced by David Lowe. 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 Lowe. The network helps show where David Lowe may publish in the future.
Co-authors
The 25 scholars most cited alongside David Lowe, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 363 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Distinctive Image Features from Scale-Invariant Keypoints Hit paper breakdown → | 2004 | 37420 |
| 2 | Object recognition from local scale-invariant features Hit paper breakdown → | 1999 | 10542 |
| 3 | Radial Basis Functions, Multi-Variable Functional Interpolation and Adaptive Networks Hit paper breakdown → | 1988 | 2549 |
| 4 | Automatic Panoramic Image Stitching using Invariant Features Hit paper breakdown → | 2006 | 1816 |
| 5 | FAST APPROXIMATE NEAREST NEIGHBORS WITH AUTOMATIC ALGORITHM CONFIGURATION Hit paper breakdown → | 2009 | 1773 |
| 6 | Scalable Nearest Neighbor Algorithms for High Dimensional Data Hit paper breakdown → | 2014 | 901 |
| 7 | Three-dimensional object recognition from single two-dimensional images Hit paper breakdown → | 1987 | 868 |
| 8 | A membrane form of guanylate cyclase is an atrial natriuretic peptide receptor Hit paper breakdown → | 1989 | 868 |
| 9 | Perceptual Organization and Visual Recognition Hit paper breakdown → | 1985 | 647 |
| 10 | Selective Activation of the B Natriuretic Peptide Receptor by C-Type Natriuretic Peptide (CNP) Hit paper breakdown → | 1991 | 624 |
| 11 | Shape indexing using approximate nearest-neighbour search in high-dimensional spaces Hit paper breakdown → | 2002 | 596 |
| 12 | Fitting parameterized three-dimensional models to images Hit paper breakdown → | 1991 | 562 |
| 13 | Mobile Robot Localization and Mapping with Uncertainty using Scale-Invariant Visual Landmarks Hit paper breakdown → | 2002 | 551 |
| 14 | Differential activation by atrial and brain natriuretic peptides of two different receptor guanylate cyclases Hit paper breakdown → | 1989 | 513 |
| 15 | 2002 | 395 | |
| 16 | 1999 | 386 | |
| 17 | Vision-based global localization and mapping for mobile robots Hit paper breakdown → | 2005 | 351 |
| 18 | 2002 | 337 | |
| 19 | 1989 | 319 | |
| 20 | Low-Shot Learning with Imprinted Weights Hit paper breakdown → | 2018 | 300 |
About David Lowe
David Lowe is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology, Artificial Intelligence, Aerospace Engineering and Signal Processing, having authored 363 papers that have together received 74.8k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (50 papers), Robotics and Sensor-Based Localization (36 papers), Neural Networks and Applications (35 papers), Advanced Vision and Imaging (28 papers), Heart Failure Treatment and Management (20 papers), Australian History and Society (20 papers), Blind Source Separation Techniques (19 papers) and Image Retrieval and Classification Techniques (17 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (49.9k citations), Aerospace Engineering (22.5k citations), Media Technology (7.0k citations), Geology (4.3k citations) and Signal Processing (3.2k citations). David Lowe has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include Marius Muja, David S. Broomhead, Matthew Brown, David V. Goeddel, Stephen Se, James J. Little, David L. Garbers, J.S. Beis, Jim Mutch and Jim Little. Their work appears in journals such as Molecular and Cellular Biology, Clinical Endocrinology, International Journal of Computer Vision, Journal of Biological Chemistry and Histopathology.
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.