Sandro Moos

60 papers receiving 719 citations

Peers

Sandro Moos
Comparison fields: 5 of 118
  • Health Informatics 26
  • Human-Computer Interaction 90
  • Immunology and Allergy 56
  • Computer Vision and Pattern Recognition 181
  • Industrial and Manufacturing Engineering 65
Replace Fedwa Laamarti with:
Fedwa Laamarti Canada
Federica Marcolin Italy
Johanna Silvennoinen Finland
Byeong‐Seok Shin South Korea
Mohamed Attia Australia
Yu‐Shan Chang Taiwan
Katrin Wolf Germany
Roel Pieters Finland
Nicholas Davis United States
Iina Aaltonen Finland
Sandro Moos relative to Fedwa Laamarti Canada Fedwa Laamarti's profile →
Citations per field
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Fedwa Laamarti · 1×
Citations per year

Countries citing papers authored by Sandro Moos

Since Specialization
Citations

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

Fields of papers citing papers by Sandro Moos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202378
2 201567
3 202063
4 201148
5 202034
6 201431
7 201030
8 202426
9 202224
10 202223
11 201123
12 202223
13 200821
14 202219
15 202415
16 201815
17 202214
18 201214
19 201912
20 202112

About Sandro Moos

Sandro Moos is a scholar working on Computer Vision and Pattern Recognition, Mechanical Engineering, Surgery, Biomedical Engineering and Cognitive Neuroscience, having authored 66 papers that have together received 744 indexed citations. Recurring topics across this work include Augmented Reality Applications (7 papers), Surgical Simulation and Training (6 papers), Orthodontics and Dentofacial Orthopedics (6 papers), Manufacturing Process and Optimization (6 papers), Color perception and design (5 papers), Emotion and Mood Recognition (5 papers), Additive Manufacturing and 3D Printing Technologies (5 papers) and Anatomy and Medical Technology (4 papers). The work is most often cited by research in Health Informatics (26 citations), Human-Computer Interaction (90 citations), Immunology and Allergy (56 citations), Computer Vision and Pattern Recognition (181 citations) and Industrial and Manufacturing Engineering (65 citations). Sandro Moos has collaborated with scholars based in Italy, Canada and United Kingdom. Frequent co-authors include Enrico Vezzetti, Luca Ulrich, Federica Marcolin, Stefano Tornincasa, Leonardo Tanzi, Ivonne Angélica Castiblanco Jiménez, Rodrigo Moreno, Maria Grazia Violante, Fabian Tay and Pål Johansen. Their work appears in journals such as Applied Sciences, International Journal on Interactive Design and Manufacturing (IJIDeM), Electronics, The International Journal of Advanced Manufacturing Technology and SAE technical papers on CD-ROM/SAE technical paper series.

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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