Imma Boada

2.4k citations
92 papers · 1.6k indexed · h-index 19

Imma Boada

88 papers receiving 1.5k citations

Peers

Imma Boada
Comparison fields: 5 of 157
  • Computer Graphics and Computer-Aided Design 220
  • Rehabilitation 156
  • Computer Vision and Pattern Recognition 392
  • Internal Medicine 56
  • Computer Science Applications 73
Replace Burkhard C. Wünsche with:
Burkhard C. Wünsche New Zealand
Bernard Roth United States
Fani Deligianni United Kingdom
Gregorij Kurillo United States
Mark Bolas United States
David Anderson United States
Michael McNeill United Kingdom
Thomas W. Calvert Canada
Darren Cosker United Kingdom
Pierre Jannin France
Imma Boada relative to Burkhard C. Wünsche New Zealand Burkhard C. Wünsche's profile →
Citations per field
00.5×1.5×1.9×
Burkhard C. Wünsche · 1×
Citations per year

Countries citing papers authored by Imma Boada

Since Specialization
Citations

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

Fields of papers citing papers by Imma Boada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20241
3 20240
4 20240
5 20232
6 20231
7 20213
8 202010
9 20206
10 20206
11 20206
12 20188
13 20187
14 201623
15
Automatic creation and correction of mathematical problems
20163
16
ACME: An e-learning platform including desirable features for engineering courses
20121
17
Hierarchical planar voronoi diagram approximations.
20020
18 20014
19
Multiresolution Isosurface Fitting on a Surface Octree
20012
20
A 3D Texture-Based Octree Volume Visualization Algorithm.
20003

About Imma Boada

Imma Boada is a scholar working on Computer Graphics and Computer-Aided Design, Computational Mathematics, Human-Computer Interaction, Computer Vision and Pattern Recognition and Computer Science Applications, having authored 92 papers that have together received 1.6k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (16 papers), Medical Image Segmentation Techniques (10 papers), 3D Shape Modeling and Analysis (8 papers), Advanced Neuroimaging Techniques and Applications (7 papers), Cardiac Arrest and Resuscitation (7 papers), Stroke Rehabilitation and Recovery (6 papers), Advanced Vision and Imaging (6 papers) and Virtual Reality Applications and Impacts (6 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (220 citations), Rehabilitation (156 citations), Computer Vision and Pattern Recognition (392 citations), Internal Medicine (56 citations) and Computer Science Applications (73 citations). Imma Boada has collaborated with scholars based in Spain, United States and Italy. Frequent co-authors include Mateu Sbert, Anton Bardera, Miquel Feixas, Salvador Pedraza, Gerard Blasco, Rubén García, Ferrán Prados, Sebastián Remollo, Joaquı́n Serena and Pepus Daunis‐i‐Estadella. Their work appears in journals such as IEEE Access, Computer Methods and Programs in Biomedicine, American Journal of Neuroradiology, Scientific Reports and IEEE Transactions on Visualization and Computer Graphics.

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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2026