Marija Strojnik

192 papers receiving 1.0k citations

Peers

Marija Strojnik
Comparison fields: 5 of 80
  • Computer Vision and Pattern Recognition 341
  • Instrumentation 43
  • Atomic and Molecular Physics, and Optics 364
  • Astronomy and Astrophysics 177
  • Biomedical Engineering 443
Replace Гонзало Паез with:
Гонзало Паез Mexico
Haïda Liang United Kingdom
Changhui Rao China
Christopher Dainty Ireland
John W Hardy United States
Tom Elliott United States
Yulei Bai United States
Sergio R. Restaino United States
James E. Harvey United States
T. Stewart McKechnie United States
Marija Strojnik relative to Гонзало Паез Mexico Гонзало Паез's profile →
Citations per field
00.5×1.5×2.2×
Гонзало Паез · 1×
Citations per year

Countries citing papers authored by Marija Strojnik

Since Specialization
Citations

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

Fields of papers citing papers by Marija Strojnik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 219 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201148
2 200246
3 200040
4 200337
5 199935
6 199731
7 200329
8 201728
9 199926
10 200223
11 199921
12 200721
13 200319
14 200315
15 199814
16 200614
17 199414
18 201413
19 200512
20 199112

About Marija Strojnik

Marija Strojnik is a scholar working on Biomedical Engineering, Atomic and Molecular Physics, and Optics, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Astronomy and Astrophysics, having authored 219 papers that have together received 1.1k indexed citations. Recurring topics across this work include Optical measurement and interference techniques (45 papers), Adaptive optics and wavefront sensing (31 papers), Stellar, planetary, and galactic studies (28 papers), Optical Coherence Tomography Applications (27 papers), Optical Imaging and Spectroscopy Techniques (25 papers), Optical Polarization and Ellipsometry (24 papers), Photoacoustic and Ultrasonic Imaging (24 papers) and Photonic and Optical Devices (17 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (341 citations), Instrumentation (43 citations), Atomic and Molecular Physics, and Optics (364 citations), Astronomy and Astrophysics (177 citations) and Biomedical Engineering (443 citations). Marija Strojnik has collaborated with scholars based in Mexico, United States and Russia. Frequent co-authors include Гонзало Паез, Guillermo García–Torales, Iván Moreno, Jorge L. Flores, Paulino Vacas‐Jacques, Vı́ctor López, Jorge Luis Flores, Björn F. Andresen, Antoni Rogalski and Mario D’Acunto. Their work appears in journals such as Optical Engineering, Optics Communications, Journal of Modern Optics, Journal of the Optical Society of America A and Optics Express.

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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