Franco Tecchia

2.5k citations
57 papers · 1.4k indexed · 1 hit paper · h-index 18

Impact in

Papers in

Franco Tecchia

56 papers receiving 1.3k citations

Hit Papers

Evaluating virtual reality and augmented reality training for industrial maintenance and assembly tasks 2013 · 454 citations
4542013202620172021100200300400

Peers

Franco Tecchia
Comparison fields: 5 of 112
  • Human-Computer Interaction 867
  • Computer Vision and Pattern Recognition 769
  • Computer Graphics and Computer-Aided Design 84
  • Geology 84
  • Cognitive Neuroscience 219
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Woontack Woo South Korea
Mohd Shahrizal Sunar Malaysia
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Régis Kopper United States
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Philippe Coiffet France
Eric D. Ragan United States
Kiyoshi Kiyokawa Japan
Wolfgang Broll Germany
Ryan P. McMahan United States
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Citations per field
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Citations per year

Countries citing papers authored by Franco Tecchia

Since Specialization
Citations

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

Fields of papers citing papers by Franco Tecchia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201642
2 20156
3 201411
4 201426
5 20146
6 20132
7 20133
8 20136
9 201315
10 20122
11 201243
12 201143
13 20104
14
Using real-time stereoscopic 3D for remote training on complex assembling/disassembling sequences
20081
15 200812
16 200815
17 200719
18 200627
19 200312
20 200253

About Franco Tecchia

Franco Tecchia is a scholar working on Human-Computer Interaction, Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Geology and Museology, having authored 57 papers that have together received 1.4k indexed citations. Recurring topics across this work include Virtual Reality Applications and Impacts (25 papers), Augmented Reality Applications (21 papers), Computer Graphics and Visualization Techniques (12 papers), Teleoperation and Haptic Systems (11 papers), Human Motion and Animation (8 papers), 3D Surveying and Cultural Heritage (7 papers), Evacuation and Crowd Dynamics (7 papers) and Advanced Vision and Imaging (6 papers). The work is most often cited by research in Human-Computer Interaction (867 citations), Computer Vision and Pattern Recognition (769 citations), Computer Graphics and Computer-Aided Design (84 citations), Geology (84 citations) and Cognitive Neuroscience (219 citations). Franco Tecchia has collaborated with scholars based in Italy, United Kingdom and Australia. Frequent co-authors include Nirit Gavish, Sabine Webel, Teresa Gutiérrez, Jorge Rodríguez-Arce, Uli Bockholt, Leila Alem, Céline Loscos, Weidong Huang, Yiorgos Chrysanthou and Massimo Bergamasco. Their work appears in journals such as IEEE Computer Graphics and Applications, PRESENCE Virtual and Augmented Reality, Journal of Cultural Heritage, IEEE Journal of Selected Topics in Signal Processing and Frontiers in Neurology.

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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