Philip van Dorp

603 total citations
11 papers, 484 citations indexed

About

Philip van Dorp is a scholar working on Aerospace Engineering, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Philip van Dorp has authored 11 papers receiving a total of 484 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Aerospace Engineering, 5 papers in Biomedical Engineering and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Philip van Dorp's work include Advanced SAR Imaging Techniques (7 papers), Microwave Imaging and Scattering Analysis (3 papers) and Radar Systems and Signal Processing (3 papers). Philip van Dorp is often cited by papers focused on Advanced SAR Imaging Techniques (7 papers), Microwave Imaging and Scattering Analysis (3 papers) and Radar Systems and Signal Processing (3 papers). Philip van Dorp collaborates with scholars based in Netherlands, United States and United Kingdom. Philip van Dorp's co-authors include F.C.A. Groen, F.C.A. Groen, A.G. Huizing, J.J.M. de Wit, Leon Kester, C. Bassa, Miguel Caro Cuenca, S. T. Garrington, Sebastiaan P. van den Broek and Faruk Uysal and has published in prestigious journals such as IET Radar Sonar & Navigation, University of Birmingham Research Portal (University of Birmingham) and IEE Proceedings - Radar Sonar and Navigation.

In The Last Decade

Philip van Dorp

11 papers receiving 475 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Philip van Dorp Netherlands 7 334 280 142 48 37 11 484
Binke Huang China 13 166 0.5× 166 0.6× 218 1.5× 22 0.5× 36 1.0× 41 388
Philipp Hügler Germany 12 382 1.1× 126 0.5× 176 1.2× 24 0.5× 74 2.0× 31 483
Harish Chandra Kumawat India 11 247 0.7× 101 0.4× 93 0.7× 63 1.3× 26 0.7× 16 381
Mateo Burgos-García Spain 13 268 0.8× 119 0.4× 218 1.5× 30 0.6× 26 0.7× 45 486
Victor C. Chen United States 3 540 1.6× 255 0.9× 109 0.8× 53 1.1× 25 0.7× 5 661
Shan Qiao China 12 196 0.6× 132 0.5× 242 1.7× 41 0.9× 18 0.5× 30 482
Dave Tahmoush United States 10 384 1.1× 276 1.0× 89 0.6× 47 1.0× 20 0.5× 36 500
Chris Hide United Kingdom 14 420 1.3× 59 0.2× 297 2.1× 109 2.3× 33 0.9× 33 545
Randolf Ebelt Germany 10 164 0.5× 77 0.3× 280 2.0× 30 0.6× 17 0.5× 19 391
Christos Ilioudis United Kingdom 11 341 1.0× 67 0.2× 126 0.9× 46 1.0× 28 0.8× 46 428

Countries citing papers authored by Philip van Dorp

Since Specialization
Citations

This map shows the geographic impact of Philip van Dorp'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 van Dorp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip van Dorp more than expected).

Fields of papers citing papers by Philip van Dorp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip van Dorp. 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 van Dorp. The network helps show where Philip van Dorp may publish in the future.

Co-authorship network of co-authors of Philip van Dorp

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

All Works

11 of 11 papers shown
1.
Uysal, Faruk, Philip van Dorp, C. Bassa, et al.. (2023). Large Baseline Bistatic Radar Imaging for Space Domain Awareness. University of Birmingham Research Portal (University of Birmingham). 1–6. 6 indexed citations
2.
Uysal, Faruk, Delphine Cerutti‐Maori, R. L. Morrison, et al.. (2023). Long baseline bistatic radar imaging of tumbling space objects for enhancing space domain awareness. IET Radar Sonar & Navigation. 18(4). 598–619. 6 indexed citations
3.
Anitori, Laura, et al.. (2017). Classification of human gaits using interrupted radar measurements. 514–519. 4 indexed citations
4.
Wit, J.J.M. de, Philip van Dorp, & A.G. Huizing. (2016). Classification of air targets based on range-Doppler diagrams. 6 indexed citations
5.
Dorp, Philip van. (2013). LFMCW based MIMO imaging processing with keystone transform. European Microwave Conference. 467–470. 5 indexed citations
6.
Dorp, Philip van, et al.. (2012). Coherent multistatic ISAR imaging. 84–84. 16 indexed citations
7.
Dorp, Philip van, et al.. (2010). High resolution radar imaging using coherent multiband processing techniques. Repository hosted by TU Delft Library (TU Delft). 981–986. 57 indexed citations
8.
Dorp, Philip van & F.C.A. Groen. (2010). Human motion estimation with multiple frequency modulated continuous wave radars. IET Radar Sonar & Navigation. 4(3). 348–361. 8 indexed citations
9.
Dorp, Philip van & F.C.A. Groen. (2008). Feature-based human motion parameter estimation with radar. IET Radar Sonar & Navigation. 2(2). 135–145. 153 indexed citations
10.
Dorp, Philip van & F.C.A. Groen. (2003). Human walking estimation with radar. IEE Proceedings - Radar Sonar and Navigation. 150(5). 356–365. 219 indexed citations
11.
Kester, Leon, et al.. (2001). <title>FRESNEL program: fusion of radar and electro-optical signals for surveillance on land</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4380. 453–461. 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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