Imma Boada

2.4k citations
94 papers · 1.6k · h-index 19

Impact in

Papers in

Imma Boada

90 papers receiving 1.5k citations

Peers

Imma Boada
Comparison fields: 5 of 154
  • Computer Graphics and Computer-Aided Design 219
  • Computer Vision and Pattern Recognition 383
  • Rehabilitation 100
  • Computer Science Applications 74
  • Developmental and Educational Psychology 144
Replace Burkhard C. Wünsche with:
Burkhard C. Wünsche New Zealand
Wen‐Chieh Lin Taiwan
Fani Deligianni United Kingdom
Gregorij Kurillo United States
Thomas W. Calvert Canada
Luigi Gallo Italy
Darren Cosker United Kingdom
Michael McNeill United Kingdom
Mark Bolas United States
Florica Moldoveanu Romania
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-authors

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

Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013179
2 2010146
3 2011140
4 2011115
5 200197
6 201591
7 200952
8 200948
9 201148
10 201142
11 201137
12 201836
13 201030
14 202128
15 201624
16 200824
17 200422
18 200819
19 200419
20 201018

About Imma Boada

Imma Boada is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Radiology, Nuclear Medicine and Imaging, Computational Mechanics and Artificial Intelligence, having authored 94 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 (9 papers), 3D Shape Modeling and Analysis (8 papers), Computational Geometry and Mesh Generation (6 papers), Virtual Reality Applications and Impacts (6 papers), Educational Games and Gamification (6 papers), Advanced Vision and Imaging (6 papers) and Experimental Learning in Engineering (5 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (219 citations), Computer Vision and Pattern Recognition (383 citations), Rehabilitation (100 citations), Computer Science Applications (74 citations) and Developmental and Educational Psychology (144 citations). Imma Boada has collaborated with scholars based in Spain, United States and Thailand. Frequent co-authors include Mateu Sbert, Anton Bardera, Miquel Feixas, Salvador Pedraza, Gerard Blasco, Rubén García, Ferrán Prados, Sebastián Remollo, Pepus Daunis‐i‐Estadella and Mar Castellanos. Their work appears in journals such as IEEE Access, Computer Methods and Programs in Biomedicine, American Journal of Neuroradiology, British Journal of Educational Technology and Computers and Electronics in Agriculture.

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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