Roberto Ranon

1.3k citations
31 papers · 682 indexed · h-index 13

Roberto Ranon

29 papers receiving 621 citations

Peers

Roberto Ranon
Comparison fields: 5 of 92
  • Human-Computer Interaction 226
  • Computer Vision and Pattern Recognition 269
  • Developmental and Educational Psychology 113
  • Computer Science Applications 42
  • Software 28
Replace Beryl Plimmer with:
Beryl Plimmer New Zealand
Maximilian Speicher United States
Thomas G. Moher United States
Ralf Dörner Germany
Bruno Feijó Brazil
Katashi Nagao Japan
Jeffrey Jacobson United States
Nicholas Davis United States
Laurence Nigay France
Rui Rodrigues Portugal
Roberto Ranon relative to Beryl Plimmer New Zealand Beryl Plimmer's profile →
Citations per field
00.5×1.5×
Beryl Plimmer · 1×
Citations per year

Countries citing papers authored by Roberto Ranon

Since Specialization
Citations

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

Fields of papers citing papers by Roberto Ranon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 22 scholars most cited alongside Roberto Ranon, 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 Roberto Ranon Line = papers co-authored together Roberto Ranon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20203
2 20152
3 20104
4 20102
5 20091
6 20084
7 200714
8 20061
9 20063
10 200658
11 2005257
12 200510
13 200426
14 200346
15 200348
16 200227
17
Hierarchical diagnosis guided by observations
20013
18 199913
19
The Closure Properties of Functional Flow-Based Approaches and Their Relevance to Diagnosis.
19981
20
Augmenting the diagnostic power of flow-based approaches to functional reasoning
19965

About Roberto Ranon

Roberto Ranon is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design, having authored 31 papers that have together received 682 indexed citations. Recurring topics across this work include Augmented Reality Applications (8 papers), Human Motion and Animation (8 papers), AI-based Problem Solving and Planning (5 papers), Advanced Vision and Imaging (5 papers), Video Analysis and Summarization (4 papers), Virtual Reality Applications and Impacts (4 papers), Evacuation and Crowd Dynamics (3 papers) and Model-Driven Software Engineering Techniques (2 papers). The work is most often cited by research in Human-Computer Interaction (226 citations), Computer Vision and Pattern Recognition (269 citations) and Developmental and Educational Psychology (113 citations). Roberto Ranon has collaborated with scholars based in Italy, France and United States. Frequent co-authors include Luca Chittaro, Lucio Ieronutti, Marc Christie, Tommaso Urli, William Bares, Hui-Yin Wu, Osvaldo Gervasi, Alfredo Soldati, Federico Fontana and Stefania Serafin. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Virtual Reality, Computers & Education, The Visual Computer and IEEE Intelligent Systems.

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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