Roberto Ranon

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

Impact in

Papers in

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-authors

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

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005257
2 200658
3 200957
4 200348
5 200346
6 200227
7 201127
8 200426
9 201417
10 200714
11 199913
12 201813
13 200412
14 200211
15 200510
16 19987
17
Augmenting the diagnostic power of flow-based approaches to functional reasoning
19965
18 20104
19 20084
20 20094

About Roberto Ranon

Roberto Ranon is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Artificial Intelligence, Human-Computer Interaction and Ocean Engineering, having authored 31 papers that have together received 682 indexed citations. Recurring topics across this work include Human Motion and Animation (8 papers), Augmented Reality Applications (8 papers), AI-based Problem Solving and Planning (5 papers), Advanced Vision and Imaging (5 papers), Virtual Reality Applications and Impacts (4 papers), Video Analysis and Summarization (4 papers), Evacuation and Crowd Dynamics (3 papers) and Interactive and Immersive Displays (2 papers). The work is most often cited by research in Human-Computer Interaction (226 citations), Computer Vision and Pattern Recognition (269 citations), Developmental and Educational Psychology (113 citations), Computer Science Applications (42 citations) and Software (28 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, Alfredo Soldati, Osvaldo Gervasi, Fabio Buttussi and Stefania Serafin. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Computers & Education, Virtual Reality, 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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