Sandro Moos

48 papers receiving 584 citations

Peers

Sandro Moos
Comparison fields: 5 of 115
  • Health Informatics 26
  • Human-Computer Interaction 79
  • Immunology and Allergy 59
  • Computer Vision and Pattern Recognition 159
  • Industrial and Manufacturing Engineering 60
Replace Federica Marcolin with:
Federica Marcolin Italy
Byeong‐Seok Shin South Korea
Luca Ulrich Italy
Mohamed Attia Australia
Fedwa Laamarti Canada
Roel Pieters Finland
Franca Giannini Italy
D. Brown United States
Lingyun Sun China
Carlos Cardoso Portugal
Sandro Moos relative to Federica Marcolin Italy Federica Marcolin's profile →
Citations per field
00.5×6.5×
Federica Marcolin · 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 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201564
2 202358
3 202052
4 201141
5 202033
6 201428
7 201026
8 202223
9 201122
10 202421
11 202221
12 200820
13 202220
14 202218
15 201213
16 202112
17 201912
18 201811
19 201510
20 202110

About Sandro Moos

Sandro Moos is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering, Mechanical Engineering, Industrial and Manufacturing Engineering and Cognitive Neuroscience, having authored 54 papers that have together received 610 indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (6 papers), Orthodontics and Dentofacial Orthopedics (6 papers), Augmented Reality Applications (6 papers), Surgical Simulation and Training (5 papers), Additive Manufacturing and 3D Printing Technologies (5 papers), Anatomy and Medical Technology (4 papers), Emotion and Mood Recognition (4 papers) and 3D Shape Modeling and Analysis (4 papers). The work is most often cited by research in Health Informatics (26 citations), Human-Computer Interaction (79 citations), Immunology and Allergy (59 citations), Computer Vision and Pattern Recognition (159 citations) and Industrial and Manufacturing Engineering (60 citations). Sandro Moos has collaborated with scholars based in Italy, Canada and United Kingdom. Frequent co-authors include Enrico Vezzetti, Luca Ulrich, Federica Marcolin, Leonardo Tanzi, Ivonne Angélica Castiblanco Jiménez, Stefano Tornincasa, Rodrigo Moreno, Norbert Graf, Thomas M. Kündig and Pål Johansen. Their work appears in journals such as Applied Sciences, Electronics, The International Journal of Advanced Manufacturing Technology, International Journal on Interactive Design and Manufacturing (IJIDeM) and The Economic Journal.

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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