Manuel Stavridis

18 papers receiving 368 citations

Peers

Manuel Stavridis
Comparison fields: 5 of 38
  • Cardiology and Cardiovascular Medicine 160
  • Computer Vision and Pattern Recognition 156
  • Cognitive Neuroscience 133
  • Statistics, Probability and Uncertainty 34
  • Mechanical Engineering 169
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Shinya Shimizu Japan
C. Hutchens United States
C. S. Anoop India
Redha Benzid Algeria
Georgy Mihov Bulgaria
R. D. Strattan United States
Damodar Panigrahy India
Lazar Šaranovac Serbia
Shuchang Xu China
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Citations per field
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Citations per year

Countries citing papers authored by Manuel Stavridis

Since Specialization
Citations

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

Fields of papers citing papers by Manuel Stavridis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Manuel Stavridis, 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 Manuel Stavridis Line = papers co-authored together Manuel Stavridis links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2007180
2 201247
3 201631
4 201022
5 200917
6 202214
7 201314
8 201413
9 201912
10 20229
11 20247
12 20115
13 20175
14 20155
15 20205
16 20213
17 20103
18 20093
19 20250

About Manuel Stavridis

Manuel Stavridis is a scholar working on Mechanical Engineering, Computer Vision and Pattern Recognition, Computational Mechanics, Biomedical Engineering and Civil and Structural Engineering, having authored 19 papers that have together received 395 indexed citations. Recurring topics across this work include Advanced Measurement and Metrology Techniques (17 papers), Optical measurement and interference techniques (16 papers), Surface Roughness and Optical Measurements (6 papers), Advanced Surface Polishing Techniques (4 papers), Adaptive optics and wavefront sensing (1 paper), Advanced Sensor Technologies Research (1 paper), Structural Health Monitoring Techniques (1 paper) and EEG and Brain-Computer Interfaces (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (160 citations), Computer Vision and Pattern Recognition (156 citations), Cognitive Neuroscience (133 citations), Statistics, Probability and Uncertainty (34 citations) and Mechanical Engineering (169 citations). Manuel Stavridis has collaborated with scholars based in Germany. Frequent co-authors include Clemens Elster, Michael Schulz, Gerd Wübbeler, D. Kreiseler, Wolfgang Osten, Thomas Zeschke, Frank Siewert, Reyko Schachtschneider, Rainer Tutsch and Christof Pruß. Their work appears in journals such as Optics Express, Measurement Science and Technology, Optical Engineering, Metrologia and Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment.

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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