Jon E. Sollid

446 citations
29 papers · 339 · h-index 8

Impact in

Papers in

Jon E. Sollid

26 papers receiving 301 citations

Peers

Jon E. Sollid
Comparison fields: 5 of 25
  • Computer Vision and Pattern Recognition 130
  • Electrical and Electronic Engineering 168
  • Nuclear and High Energy Physics 15
  • Acoustics and Ultrasonics 1
  • Atomic and Molecular Physics, and Optics 21
Replace Craig O. Staller with:
Craig O. Staller United States
Ivan Kassamakov Finland
Edita Tejnil United States
Bozenko F. Oreb Australia
Michael J. Kidger United Kingdom
Satoshi Aoyama Japan
David M. Aikens United States
T.R. Judge United Kingdom
Barry L. Stann United States
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Citations per field
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Craig O. Staller · 1×
Citations per year

Countries citing papers authored by Jon E. Sollid

Since Specialization
Citations

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

Fields of papers citing papers by Jon E. Sollid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jon E. Sollid. 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 Jon E. Sollid. The network helps show where Jon E. Sollid may publish in the future.

Co-authors

The 24 scholars most cited alongside Jon E. Sollid, 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 Jon E. Sollid Line = papers co-authored together Jon E. Sollid links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1969101
2 198558
3 198940
4 198924
5 198816
6 197015
7 197813
8 19759
9 19688
10 19787
11 19896
12 19896
13 19785
14 19905
15 19714
16 19794
17 19843
18 19853
19 19702
20 19782

About Jon E. Sollid

Jon E. Sollid is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Computational Mechanics, Nuclear and High Energy Physics and Biomedical Engineering, having authored 29 papers that have together received 339 indexed citations. Recurring topics across this work include Particle Accelerators and Free-Electron Lasers (12 papers), Optical measurement and interference techniques (9 papers), Surface Roughness and Optical Measurements (3 papers), Optical Systems and Laser Technology (3 papers), Advanced Surface Polishing Techniques (2 papers), Advanced Measurement and Detection Methods (2 papers), Laser-Plasma Interactions and Diagnostics (2 papers) and Laser Material Processing Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (130 citations), Electrical and Electronic Engineering (168 citations), Nuclear and High Energy Physics (15 citations), Acoustics and Ultrasonics (1 citation) and Atomic and Molecular Physics, and Optics (21 citations). Jon E. Sollid has collaborated with scholars based in United States. Frequent co-authors include William E. Stein, Donald W. Feldman, Alex H. Lumpkin, John C. Goldstein, Roger W. Warren, R.W. Warren, Karl A. Stetson, B.E. Newnam, R.L. Sheffield and C. A. Brau. Their work appears in journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Applied Optics, Optical Engineering, Optics Communications and IEEE Journal of Quantum Electronics.

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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