Vali Lalioti

405 citations
31 papers · 240 · h-index 9

Impact in

Papers in

Vali Lalioti

28 papers receiving 208 citations

Peers

Vali Lalioti
Comparison fields: 5 of 59
  • Human-Computer Interaction 116
  • Computer Graphics and Computer-Aided Design 20
  • Computer Vision and Pattern Recognition 106
  • Software 12
  • Geology 14
Replace Marcelo de Paiva Guimarães with:
Marcelo de Paiva Guimarães Brazil
Ricardo Lopes Netherlands
Theophanis Tsandilas France
John T. Kelso United States
Lucio Ieronutti Italy
Tomas Trescak Australia
Telmo Zarraonandí­a Spain
Cagatay Goncu Australia
Jason Gregory United States
Emmanuel Dubois France
Vali Lalioti relative to Marcelo de Paiva Guimarães Brazil Marcelo de Paiva Guimarães's profile →
Citations per field
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Marcelo de Paiva Guimarães · 1×
Citations per year

Countries citing papers authored by Vali Lalioti

Since Specialization
Citations

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

Fields of papers citing papers by Vali Lalioti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Vali Lalioti, 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 Vali Lalioti Line = papers co-authored together Vali Lalioti 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 199854
2 202231
3 200320
4 199416
5 199714
6 202110
7 200110
8
Interactive Cultural Experiences Using Virtual Identities.
20019
9 19988
10 20218
11
Mixed Reality Productions of the Future
20038
12 20017
13
Virtual Cultural Identities
20005
14
Use of Scenarios for Validation of Conceptual Specifications
19954
15 20244
16 20024
17 20044
18 20013
19
Supporting Team Work in Collaborative Virtual Environments
20003
20
Towards Immersive Telepresence SCHLOSSTAG’97
19983

About Vali Lalioti

Vali Lalioti is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition, Artificial Intelligence, Social Psychology and Control and Systems Engineering, having authored 31 papers that have together received 240 indexed citations. Recurring topics across this work include Interactive and Immersive Displays (12 papers), Augmented Reality Applications (10 papers), Virtual Reality Applications and Impacts (9 papers), Innovative Human-Technology Interaction (5 papers), Human Motion and Animation (4 papers), Business Process Modeling and Analysis (3 papers), Advanced Software Engineering Methodologies (3 papers) and Social Robot Interaction and HRI (3 papers). The work is most often cited by research in Human-Computer Interaction (116 citations), Computer Graphics and Computer-Aided Design (20 citations), Computer Vision and Pattern Recognition (106 citations), Software (12 citations) and Geology (14 citations). Vali Lalioti has collaborated with scholars based in United Kingdom, South Africa and United States. Frequent co-authors include S. Gibbs, Christian Breiteneder, Martin Göbel, Pericles Loucopoulos, Adrian Woolard, Andrew Thomas, Alexandra Covaci, Chee Siang Ang, Craig Jackson and Babis Theodoulidis. Their work appears in journals such as Information Systems, IEEE Computer Graphics and Applications, IEEE Multimedia, Computer Graphics Forum and IEE Review.

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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