Dani Tost

678 citations
56 papers · 455 · h-index 12

Impact in

Papers in

Dani Tost

51 papers receiving 429 citations

Peers

Dani Tost
Comparison fields: 5 of 89
  • Computer Graphics and Computer-Aided Design 142
  • Computer Vision and Pattern Recognition 171
  • Human-Computer Interaction 44
  • Rehabilitation 35
  • Psychiatry and Mental health 54
Replace Dawn K. DeCarlo with:
Dawn K. DeCarlo United States
Elena Garcés Spain
James D. K. Kim South Korea
Min‐Hyung Choi United States
Mihai Zanfir Romania
Jeremy Wendt United States
Qing Jiang China
Jan-Philipp Stauffert Germany
Massimiliano Martinelli Italy
John W. Peifer United States
Dani Tost relative to Dawn K. DeCarlo United States Dawn K. DeCarlo's profile →
Citations per field
00.5×8.8×
Dawn K. DeCarlo · 1×
Citations per year

Countries citing papers authored by Dani Tost

Since Specialization
Citations

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

Fields of papers citing papers by Dani Tost

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201038
2
Serious games for screening pre-dementia conditions: from virtuality to reality? A pilot project.
201532
3 202031
4 201723
5 202119
6 200817
7 198816
8 200615
9 200315
10 200414
11 200413
12 199712
13 202011
14 201711
15 200311
16 201411
17 201110
18 200910
19 19989
20 20158

About Dani Tost

Dani Tost is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Computational Mechanics, Control and Systems Engineering and Rehabilitation, having authored 56 papers that have together received 455 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (26 papers), Advanced Vision and Imaging (15 papers), 3D Shape Modeling and Analysis (14 papers), Medical Image Segmentation Techniques (9 papers), Digital Image Processing Techniques (6 papers), Data Visualization and Analytics (5 papers), Dementia and Cognitive Impairment Research (5 papers) and Stroke Rehabilitation and Recovery (5 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (142 citations), Computer Vision and Pattern Recognition (171 citations), Human-Computer Interaction (44 citations), Rehabilitation (35 citations) and Psychiatry and Mental health (54 citations). Dani Tost has collaborated with scholars based in Spain, Italy and Brazil. Frequent co-authors include Anna Puig, Xavier Pueyo, Dolors Ayala, Emilio Ramos, Sara Bottiroli, Stefania Pazzi, Chiara Zucchella, Elena Cavallini, Sara Bernini and Cristina Tassorelli. Their work appears in journals such as Computers & Graphics, The Visual Computer, Computer Graphics Forum, Sedimentary Geology and Frontiers in Aging Neuroscience.

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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