Rafael Radkowski

59 papers receiving 724 citations

Peers

Rafael Radkowski
Comparison fields: 5 of 75
  • Human-Computer Interaction 358
  • Computer Vision and Pattern Recognition 516
  • Geology 110
  • Industrial and Manufacturing Engineering 142
  • Automotive Engineering 49
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Manuel Olbrich Germany
Sabine Webel Germany
Uli Bockholt Germany
Xiaoliang Bai China
Charles Woodward Finland
Sung Ho Choi South Korea
Florian Niebling Germany
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Citations per field
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Citations per year

Countries citing papers authored by Rafael Radkowski

Since Specialization
Citations

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

Fields of papers citing papers by Rafael Radkowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Rafael Radkowski, 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 Rafael Radkowski Line = papers co-authored together Rafael Radkowski 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 2015174
2 2017117
3
Interactive Hand Gesture-based Assembly for Augmented Reality Applications
201249
4 201535
5
Selbstoptimierende Systeme des Maschinenbaus – Definitionen, Anwendungen, Konzepte.
200832
6 200531
7
Fusing Self-Reported and Sensor Data from Mixed-Reality Training
201427
8 201225
9 201823
10 200518
11 201217
12 200416
13 201715
14 201315
15 201514
16 201811
17 201511
18 201111
19 200310
20 201610

About Rafael Radkowski

Rafael Radkowski is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Geology, Industrial and Manufacturing Engineering and Automotive Engineering, having authored 63 papers that have together received 776 indexed citations. Recurring topics across this work include Augmented Reality Applications (36 papers), 3D Surveying and Cultural Heritage (15 papers), Virtual Reality Applications and Impacts (14 papers), Interactive and Immersive Displays (12 papers), Manufacturing Process and Optimization (8 papers), Robotics and Sensor-Based Localization (7 papers), Spatial Cognition and Navigation (5 papers) and Design Education and Practice (5 papers). The work is most often cited by research in Human-Computer Interaction (358 citations), Computer Vision and Pattern Recognition (516 citations), Geology (110 citations), Industrial and Manufacturing Engineering (142 citations) and Automotive Engineering (49 citations). Rafael Radkowski has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include James H. Oliver, Yelda Türkan, An Chen, Aliye Karabulut‐Ilgu, Amir H. Behzadan, Antonio Emmanuele Uva, Michele Fiorentino, Jürgen Gausemeier, Giuseppe Monno and Qing Shen. Their work appears in journals such as Journal of Computing and Information Science in Engineering, Advanced Engineering Informatics, Lecture notes in computer science, Journal of Display Technology and International Journal on Interactive Design and Manufacturing (IJIDeM).

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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