Philip David
- Geology top 2%
-
- Advanced Image and Video Retrieval Techniques 9
- Advanced Vision and Imaging 7
- Video Surveillance and Tracking Methods 7
- Advanced Neural Network Applications 5
- Visual Attention and Saliency Detection 4
- Aerospace Engineering top 5%
- Robotics and Sensor-Based Localization 14
- Environmental Engineering top 5%
- Remote Sensing and LiDAR Applications 4
-
- CCD and CMOS Imaging Sensors 4
- Co-authors
- Daniel DeMenthonHassan ForooshBoqing GongHanan SametRamani DuraiswamiYang ZhangZerong XiZixiang Zhou
- Journals
- Real-Time Systems (2 papers)International Journal of Machine Learning and Cybernetics (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)
- Partner nations
- United StatesIndiaSingapore
In The Last Decade
Philip David
31 papers receiving 923 citations
Hit Papers
Peers
Comparison fields: 5 of 80
- Geology 199
- Computer Vision and Pattern Recognition 656
- Aerospace Engineering 414
- Environmental Engineering 207
- Computer Graphics and Computer-Aided Design 38
Countries citing papers authored by Philip David
This map shows the geographic impact of Philip David'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 Philip David with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip David more than expected).
Fields of papers citing papers by Philip David
This network shows the impact of papers produced by Philip David. 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 Philip David. The network helps show where Philip David may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Philip David, 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2022 | 11 | |
| 4 | 2022 | 8 | |
| 5 | 2021 | 19 | |
| 6 | PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentationbreakdown → | 2020 | 361 |
| 7 | 2019 | 103 | |
| 8 | CAMOU: Learning Physical Vehicle Camouflages to Adversarially Attack Detectors in the Wild. | 2018 | 40 |
| 9 | 2013 | 36 | |
| 10 | 2011 | 7 | |
| 11 | 2011 | 2 | |
| 12 | 2011 | 28 | |
| 13 | 2010 | 4 | |
| 14 | 2008 | 2 | |
| 15 | 2008 | 4 | |
| 16 | 2005 | 54 | |
| 17 | 2004 | 160 | |
| 18 | 1996 | 1 | |
| 19 | 1991 | 1 | |
| 20 | Urban land development | 1970 | 4 |
About Philip David
Philip David is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Geology, having authored 33 papers that have together received 986 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (14 papers), Advanced Image and Video Retrieval Techniques (9 papers), Advanced Vision and Imaging (7 papers), Video Surveillance and Tracking Methods (7 papers), Advanced Neural Network Applications (5 papers), CCD and CMOS Imaging Sensors (4 papers), Visual Attention and Saliency Detection (4 papers) and Remote Sensing and LiDAR Applications (4 papers). The work is most often cited by research in Geology (199 citations), Computer Vision and Pattern Recognition (656 citations) and Aerospace Engineering (414 citations). Philip David has collaborated with scholars based in United States, India and Singapore. Frequent co-authors include Daniel DeMenthon, Hassan Foroosh, Boqing Gong, Hanan Samet, Ramani Duraiswami, Yang Zhang, Zerong Xi, Zixiang Zhou, Xiangyu Yue and Jeffrey Delmerico. Their work appears in journals such as Real-Time Systems, International Journal of Machine Learning and Cybernetics, IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and Image and Vision Computing.
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.