Philip Siegmann

570 citations
38 papers · 480 · h-index 14

Impact in

Papers in

Philip Siegmann

35 papers receiving 446 citations

Peers

Philip Siegmann
Comparison fields: 5 of 71
  • Computer Vision and Pattern Recognition 276
  • Media Technology 105
  • Geology 27
  • Health, Toxicology and Mutagenesis 62
  • Civil and Structural Engineering 101
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Citations per field
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Citations per year

Countries citing papers authored by Philip Siegmann

Since Specialization
Citations

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

Fields of papers citing papers by Philip Siegmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Philip Siegmann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Philip Siegmann Line = papers co-authored together Philip Siegmann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200460
2 201352
3 200541
4 201041
5 200837
6 200727
7 201427
8 200923
9 200722
10 200019
11 200815
12 200714
13 200913
14 201613
15 201911
16 20019
17
Traffic sign shape classification based on correlation techniques
20057
18 20167
19 20076
20 20095

About Philip Siegmann

Philip Siegmann is a scholar working on Computer Vision and Pattern Recognition, Mechanical Engineering, Electrical and Electronic Engineering, Civil and Structural Engineering and Media Technology, having authored 38 papers that have together received 480 indexed citations. Recurring topics across this work include Optical measurement and interference techniques (16 papers), Advanced Measurement and Metrology Techniques (9 papers), Advanced Measurement and Detection Methods (6 papers), Image Processing Techniques and Applications (5 papers), Structural Health Monitoring Techniques (5 papers), Surface Roughness and Optical Measurements (4 papers), Image and Object Detection Techniques (4 papers) and Handwritten Text Recognition Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (276 citations), Media Technology (105 citations), Geology (27 citations), Health, Toxicology and Mutagenesis (62 citations) and Civil and Structural Engineering (101 citations). Philip Siegmann has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Eann A. Patterson, F.A. Díaz, Saturnino Maldonado-Bascón, Luis Felipe-Sesé, Sergio Lafuente-Arroyo, Erik Velasco, Hilario Gómez-Moreno, Pedro Gil-Jiménez, David Bäckman and Roberto J. López-Sastre. Their work appears in journals such as Optics and Lasers in Engineering, Atmospheric Environment, Experimental Mechanics, Applied Surface Science and Optical Engineering.

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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