Peter J. de Groot

6.0k citations
147 papers · 4.2k indexed · h-index 32
Topics
Optical measurement and interference techniques (87 papers)Advanced Measurement and Metrology Techniques (69 papers)Surface Roughness and Optical Measurements (61 papers)
Journals
SHILAP Revista de lepidopterologíaJournal of Applied PhysicsPhysical Review B

In The Last Decade

Peter J. de Groot

142 papers receiving 3.9k citations

Peers

Peter J. de Groot
Comparison fields: 5 of 108
  • Computer Vision and Pattern Recognition 2.4k
  • Mechanical Engineering 1.7k
  • Computational Mechanics 1.3k
  • Biomedical Engineering 1.2k
  • Atomic and Molecular Physics, and Optics 1.1k
Replace P. Hariharan with:
P. Hariharan India
Ichirou Yamaguchi Japan
Jürgen Czarske Germany
Małgorzata Kujawińska Poland
Werner Jüptner Germany
Cuifang Kuang China
Daniel Malacara Mexico
Eusebio Bernabéu Spain
Andrea Fińizio Italy
Michael G. Somekh United Kingdom
Peter J. de Groot relative to P. Hariharan India P. Hariharan's profile →
Citations per field
00.5×1.5×2.3×
P. Hariharan · 1×
Citations per year

Countries citing papers authored by Peter J. de Groot

Since Specialization
Citations

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

Fields of papers citing papers by Peter J. de Groot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter J. de Groot. 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 Peter J. de Groot. The network helps show where Peter J. de Groot may publish in the future.

Co-authorship network of co-authors of Peter J. de Groot

This figure shows the co-authorship network connecting the top 25 collaborators of Peter J. de Groot. A scholar is included among the top collaborators of Peter J. de Groot 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 Peter J. de Groot. Peter J. de Groot 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
#WorkIndexed citations
1 4
2 2
3 4
4 4
5 21
6 70
7 25
8 106
9 47
10 26
11 18
12 5
13 115
14 153
15 48
16 159
17 13
18 4
19 22
20 1

About Peter J. de Groot

Peter J. de Groot is a scholar working on Computer Vision and Pattern Recognition, Instrumentation and Computational Mechanics, having authored 147 papers that have together received 4.2k indexed citations. Recurring topics across this work include Optical measurement and interference techniques (87 papers), Advanced Measurement and Metrology Techniques (69 papers) and Surface Roughness and Optical Measurements (61 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.4k citations), Computational Mechanics (1.3k citations) and Mechanical Engineering (1.7k citations). Peter J. de Groot has collaborated with scholars based in United States, United Kingdom and Belgium. Frequent co-authors include L. Deck, Xavier Colonna de Lega, Gregg M. Gallatin, Philip N. Bartlett, Mohamed A. Ghanem, S.H. Macomber, G. T. Reid, David Robinson, A. A. Zhukov and Richard Leach. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Applied Physics and Physical Review B.

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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