R. Probst

633 citations
12 papers · 490 · h-index 8

Impact in

Papers in

R. Probst

12 papers receiving 450 citations

Peers

R. Probst
Comparison fields: 5 of 42
  • Statistics, Probability and Uncertainty 201
  • Radiation 122
  • Mechanical Engineering 320
  • Computer Vision and Pattern Recognition 114
  • Surfaces, Coatings and Films 26
Replace Ralf D. Geckeler with:
Ralf D. Geckeler Germany
Guido Bartl Germany
Paul Morantz United Kingdom
Youichi Bitou Japan
Yunfeng Lu China
Hongxing Yang China
I. Weingärtner Germany
Vivek G. Badami United States
Tomizo Kurosawa Japan
Ondřej Čı́p Czechia
R. Probst relative to Ralf D. Geckeler Germany Ralf D. Geckeler's profile →
Citations per field
00.5×1.5×
Ralf D. Geckeler · 1×
Citations per year

Countries citing papers authored by R. Probst

Since Specialization
Citations

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

Fields of papers citing papers by R. Probst

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside R. Probst, 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 R. Probst Line = papers co-authored together R. Probst links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 1981164
2 200398
3 199893
4 200948
5 200736
6 200127
7 200210
8 19847
9 19882
10 19912
11
Six Nanoradian in 2π Radian-A Primart Standard for Angle Measurement
20012
12 20021

About R. Probst

R. Probst is a scholar working on Mechanical Engineering, Statistics, Probability and Uncertainty, Computer Networks and Communications, Computer Vision and Pattern Recognition and Biomedical Engineering, having authored 12 papers that have together received 490 indexed citations. Recurring topics across this work include Advanced Measurement and Metrology Techniques (8 papers), Scientific Measurement and Uncertainty Evaluation (5 papers), Sensor Technology and Measurement Systems (4 papers), Optical measurement and interference techniques (3 papers), Advanced Sensor Technologies Research (2 papers), Photovoltaic Systems and Sustainability (1 paper), Silicon Carbide Semiconductor Technologies (1 paper) and Adaptive optics and wavefront sensing (1 paper). The work is most often cited by research in Statistics, Probability and Uncertainty (201 citations), Radiation (122 citations), Mechanical Engineering (320 citations), Computer Vision and Pattern Recognition (114 citations) and Surfaces, Coatings and Films (26 citations). R. Probst has collaborated with scholars based in Germany and United States. Frequent co-authors include Michael Krause, A. Just, Andreas Ernst, Peter Seyfried, Peter Becker, H. Siegert, Rolf Lauer, K. Dorenwendt, Ralf D. Geckeler and Harald Bosse. Their work appears in journals such as Metrologia, Measurement Science and Technology, Physical Review Letters, Precision Engineering and tm - Technisches Messen.

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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