Daniela Trevisan

1.2k citations
75 papers · 666 · h-index 15

Impact in

Papers in

Daniela Trevisan

61 papers receiving 618 citations

Peers

Daniela Trevisan
Comparison fields: 5 of 107
  • Human-Computer Interaction 238
  • Computer Vision and Pattern Recognition 178
  • Neurology 99
  • Human Factors and Ergonomics 14
  • Clinical Biochemistry 27
Replace Fátima L. S. Nunes with:
Fátima L. S. Nunes Brazil
Javier Varona Spain
Cali Fidopiastis United States
Adalberto L. Simeone Belgium
Samuel Silva Portugal
Osama Halabi Qatar
Shrinivas Pundlik United States
Rubén García Spain
Daniela Trevisan relative to Fátima L. S. Nunes Brazil Fátima L. S. Nunes's profile →
Citations per field
00.5×12.4×
Fátima L. S. Nunes · 1×
Citations per year

Countries citing papers authored by Daniela Trevisan

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Trevisan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199197
2 201780
3 200964
4 199053
5 200830
6 201024
7 202124
8 200722
9 202121
10
UsiXML: A User Interface Description Language for Context-Sensitive User Interfaces
200419
11 202018
12 202017
13 201715
14 202015
15 201114
16 201914
17
Detecting Interaction Variables in a Mixed Reality System for Maxillofacial-guided Surgery
200610
18 20159
19 20047
20 20037

About Daniela Trevisan

Daniela Trevisan is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Computer Science Applications and Human Factors and Ergonomics, having authored 75 papers that have together received 666 indexed citations. Recurring topics across this work include Virtual Reality Applications and Impacts (24 papers), Augmented Reality Applications (22 papers), Interactive and Immersive Displays (15 papers), Usability and User Interface Design (5 papers), Tactile and Sensory Interactions (5 papers), Visual Attention and Saliency Detection (5 papers), Image and Video Quality Assessment (5 papers) and Digital Accessibility for Disabilities (5 papers). The work is most often cited by research in Human-Computer Interaction (238 citations), Computer Vision and Pattern Recognition (178 citations), Neurology (99 citations), Human Factors and Ergonomics (14 citations) and Clinical Biochemistry (27 citations). Daniela Trevisan has collaborated with scholars based in Brazil, Belgium and France. Frequent co-authors include Esteban Clua, Cristina Nader Vasconcelos, Alberto Di Renzo, Francesco Paolo Di Maio, Ettore Beghi, Luis Valente, Jean Vanderdonckt, Valter Torri, Flávia Bernardini and A. Bizzi. Their work appears in journals such as Virtual Reality, Journal of the Association for Information Systems, Computer Methods and Programs in Biomedicine, Personal and Ubiquitous Computing and Epilepsia.

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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