Per Gren

69 papers receiving 764 citations

Peers

Per Gren
Comparison fields: 5 of 85
  • Computational Mechanics 312
  • Media Technology 82
  • Computer Vision and Pattern Recognition 179
  • Mechanics of Materials 203
  • Atomic and Molecular Physics, and Optics 172
Replace A. Kubota with:
A. Kubota Japan
David Bergström Sweden
J.N. Butters United Kingdom
Н. А. Фомин Belarus
T. D. Dudderar United States
H. T. Goldrein United Kingdom
W. H. Stevenson United States
J S Barton United Kingdom
David B. Lindell United States
Bradley D. Duncan United States
Per Gren relative to A. Kubota Japan A. Kubota's profile →
Citations per field
00.5×2.7×
A. Kubota · 1×
Citations per year

Countries citing papers authored by Per Gren

Since Specialization
Citations

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

Fields of papers citing papers by Per Gren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Per Gren, 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 Per Gren Line = papers co-authored together Per Gren links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202071
2 200756
3 201051
4 199839
5 200838
6 201633
7 201732
8 200930
9 199723
10 200623
11 200622
12 200922
13 201021
14 199620
15 199419
16 201818
17 201718
18 201918
19 200417
20 200517

About Per Gren

Per Gren is a scholar working on Computational Mechanics, Atomic and Molecular Physics, and Optics, Computer Vision and Pattern Recognition, Mechanics of Materials and Biomedical Engineering, having authored 77 papers that have together received 820 indexed citations. Recurring topics across this work include Optical measurement and interference techniques (23 papers), Digital Holography and Microscopy (23 papers), Surface Roughness and Optical Measurements (11 papers), Laser Material Processing Techniques (10 papers), Advanced Optical Imaging Technologies (9 papers), Advanced Measurement and Metrology Techniques (7 papers), Aerodynamics and Acoustics in Jet Flows (6 papers) and Laser-induced spectroscopy and plasma (5 papers). The work is most often cited by research in Computational Mechanics (312 citations), Media Technology (82 citations), Computer Vision and Pattern Recognition (179 citations), Mechanics of Materials (203 citations) and Atomic and Molecular Physics, and Optics (172 citations). Per Gren has collaborated with scholars based in Sweden, Egypt and Hungary. Frequent co-authors include Mikael Sjödahl, Staffan Schedin, Alexander Kaplan, T. Staffan Lundström, Pál Tóth, Yngve Ögren, Alexey Sepman, Henrik Wiinikka, N.-E. Molin and Xide Li. Their work appears in journals such as Optics and Lasers in Engineering, Optics Express, The Journal of the Acoustical Society of America, Applied Optics and Applied Surface Science.

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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