Uldis Rubīns

813 citations
63 papers · 468 · h-index 12

Impact in

Papers in

Uldis Rubīns

58 papers receiving 456 citations

Peers

Uldis Rubīns
Comparison fields: 5 of 65
  • Radiology, Nuclear Medicine and Imaging 186
  • Cardiology and Cardiovascular Medicine 156
  • Biomedical Engineering 341
  • Biophysics 43
  • Surgery 137
Replace Zbigņevs Marcinkevičs with:
Zbigņevs Marcinkevičs Latvia
Andris Grabovskis Latvia
Ilya Fine Israel
Florian Tetschke Germany
Gennadi Saiko Canada
Д. А. Рогаткин Russia
Eric L. Wisotzky Germany
John K-J. Li United States
Joey Enfield Ireland
D. M. Griggs United States
Uldis Rubīns relative to Zbigņevs Marcinkevičs Latvia Zbigņevs Marcinkevičs's profile →
Citations per field
00.5×
Zbigņevs Marcinkevičs · 1×
Citations per year

Countries citing papers authored by Uldis Rubīns

Since Specialization
Citations

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

Fields of papers citing papers by Uldis Rubīns

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Uldis Rubīns, 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 Uldis Rubīns Line = papers co-authored together Uldis Rubīns links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200862
2 201639
3 201334
4 201925
5 201524
6 201015
7 201214
8 202212
9 201012
10 201912
11 201312
12 201411
13 201611
14 201111
15 201811
16
SkImager: a concept device for in-vivo skin assessment by multimodal imaging
201411
17 201110
18 201210
19 201110
20 20199

About Uldis Rubīns

Uldis Rubīns is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, Surgery, Cardiology and Cardiovascular Medicine and Physiology, having authored 63 papers that have together received 468 indexed citations. Recurring topics across this work include Non-Invasive Vital Sign Monitoring (30 papers), Optical Imaging and Spectroscopy Techniques (26 papers), Hemodynamic Monitoring and Therapy (16 papers), Photoacoustic and Ultrasonic Imaging (16 papers), Infrared Thermography in Medicine (12 papers), Optical Coherence Tomography Applications (11 papers), Thermoregulation and physiological responses (9 papers) and Cardiovascular Health and Disease Prevention (6 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (186 citations), Cardiology and Cardiovascular Medicine (156 citations), Biomedical Engineering (341 citations), Biophysics (43 citations) and Surgery (137 citations). Uldis Rubīns has collaborated with scholars based in Latvia, Saudi Arabia and India. Frequent co-authors include Jānis Spīgulis, Zbigņevs Marcinkevičs, Andris Grabovskis, Dainis Jakovels, Renārs Erts, Ināra Logina, Māris Ozols, Turgut Durduran, Martina Giovannella and Maurice Aron. Their work appears in journals such as Biomedical Optics Express, Journal of Biomedical Optics, Frontiers in Physiology, Applied Sciences and Critical Care.

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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