Philip David

2.2k total citations · 1 hit paper
33 papers, 986 citations indexed

About

Philip David is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Philip David has authored 33 papers receiving a total of 986 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 16 papers in Aerospace Engineering and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Philip David's work include Robotics and Sensor-Based Localization (14 papers), Advanced Image and Video Retrieval Techniques (9 papers) and Advanced Vision and Imaging (7 papers). Philip David is often cited by papers focused on Robotics and Sensor-Based Localization (14 papers), Advanced Image and Video Retrieval Techniques (9 papers) and Advanced Vision and Imaging (7 papers). Philip David collaborates with scholars based in United States, India and Singapore. Philip David's co-authors include Daniel DeMenthon, Hassan Foroosh, Boqing Gong, Ramani Duraiswami, Hanan Samet, Zixiang Zhou, Zerong Xi, Xiangyu Yue, Yang Zhang and Jeffrey Delmerico and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and Image and Vision Computing.

In The Last Decade

Philip David

31 papers receiving 923 citations

Hit Papers

PolarNet: An Improved Grid Representation for Online LiDA... 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Philip David United States 12 656 414 207 199 184 33 986
Yiyi Liao China 15 827 1.3× 307 0.7× 132 0.6× 152 0.8× 270 1.5× 41 1.1k
Siyu Zhu China 14 1.2k 1.8× 395 1.0× 138 0.7× 204 1.0× 111 0.6× 35 1.4k
Jingnan Shi United States 6 353 0.5× 512 1.2× 163 0.8× 260 1.3× 139 0.8× 12 732
Michael Krainin United States 10 1.0k 1.6× 884 2.1× 141 0.7× 403 2.0× 48 0.3× 15 1.5k
R. R. Martin United Kingdom 9 564 0.9× 264 0.6× 125 0.6× 275 1.4× 322 1.8× 16 914
Michel Devy France 20 776 1.2× 657 1.6× 122 0.6× 191 1.0× 47 0.3× 113 1.2k
Yulan Guo China 15 554 0.8× 897 2.2× 208 1.0× 326 1.6× 321 1.7× 74 1.6k
Lingdong Kong China 11 257 0.4× 98 0.2× 104 0.5× 87 0.4× 129 0.7× 40 641
Kaustubh Pathak Germany 20 875 1.3× 949 2.3× 221 1.1× 340 1.7× 55 0.3× 56 1.7k

Countries citing papers authored by Philip David

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Philip David

This figure shows the co-authorship network connecting the top 25 collaborators of Philip David. A scholar is included among the top collaborators of Philip David 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 Philip David. Philip David is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
David, Philip, et al.. (2025). Crayfish optimization-based secure encryption of medical images with 7D hyperchaotic maps. International Journal of Machine Learning and Cybernetics. 16(10). 7369–7389.
2.
David, Philip, et al.. (2024). Adaptive Compression and Reconstruction for Multidimensional Medical Image Data: A Hybrid Algorithm for Enhanced Image Quality. Journal of Imaging Informatics in Medicine. 38(5). 3148–3167. 1 indexed citations
3.
Liu, Shengzhong, Xinzhe Fu, Maggie Wigness, et al.. (2022). Self-Cueing Real-Time Attention Scheduling in Criticality-Aware Visual Machine Perception. 173–186. 11 indexed citations
4.
Liu, Shengzhong, Tianshi Wang, Xinzhe Fu, et al.. (2022). Multi-View Scheduling of Onboard Live Video Analytics to Minimize Frame Processing Latency. 503–514. 8 indexed citations
5.
Zhang, Yang, Zixiang Zhou, Philip David, et al.. (2020). PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation. 9598–9607. 361 indexed citations breakdown →
6.
David, Philip, et al.. (2019). A Curriculum Domain Adaptation Approach to the Semantic Segmentation of Urban Scenes. IEEE Transactions on Pattern Analysis and Machine Intelligence. 42(8). 1823–1841. 103 indexed citations
7.
Zhang, Yang, Hassan Foroosh, Philip David, & Boqing Gong. (2018). CAMOU: Learning Physical Vehicle Camouflages to Adversarially Attack Detectors in the Wild.. International Conference on Learning Representations. 40 indexed citations
8.
Košecká, Jana, et al.. (2018). FarSight: Long-Range Depth Estimation from Outdoor Images. 4751–4757. 2 indexed citations
9.
Delmerico, Jeffrey, et al.. (2013). Ascending stairway modeling from dense depth imagery for traversability analysis. 36 indexed citations
10.
David, Philip & Sean Ho. (2011). Orientation descriptors for localization in urban environments. 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems. 7 indexed citations
11.
Delmerico, Jeffrey, Philip David, & Jason J. Corso. (2011). Building facade detection, segmentation, and parameter estimation for mobile robot localization and guidance. 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems. 28 indexed citations
12.
Delmerico, Jeffrey, Philip David, & Jason J. Corso. (2011). Building facade detection, segmentation, and parameter estimation for mobile robot localization and guidance. 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems. 2 indexed citations
13.
Delmerico, Jeffrey, Jason J. Corso, & Philip David. (2010). Boosting with stereo features for building facade detection on mobile platforms. 46–49. 4 indexed citations
14.
Ho, Sean & Philip David. (2008). Automatic generation of 360 degree panorama from image sequences. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7073. 70731J–70731J. 2 indexed citations
15.
David, Philip, Daniel DeMenthon, Ramani Duraiswami, & Hanan Samet. (2004). SoftPOSIT: Simultaneous Pose and Correspondence Determination. International Journal of Computer Vision. 59(3). 259–284. 160 indexed citations
16.
David, Philip, Daniel DeMenthon, Ramani Duraiswami, & Hanan Samet. (2002). Evaluation of the SoftPOSIT Model-to-Image Registration Algorithm. 3 indexed citations
17.
David, Philip, et al.. (2002). A scalable architecture system for automatic target recognition. Zenodo (CERN European Organization for Nuclear Research). 1957. 414–420. 4 indexed citations
18.
David, Philip. (1996). <title>Real-time target acquisition for the Army's scout mission</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2739. 324–331. 1 indexed citations
19.
David, Philip. (1991). <title>Multiple-sensor cueing using a heuristic search</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1468. 1000–1009. 1 indexed citations
20.
David, Philip. (1970). Urban land development. 4 indexed citations

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.

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