Imma Boada

2.4k citations
109 papers · 1.9k · h-index 22

Impact in

Papers in

Imma Boada

106 papers receiving 1.8k citations

Peers

Imma Boada
Comparison fields: 5 of 157
  • Computer Graphics and Computer-Aided Design 256
  • Computer Vision and Pattern Recognition 495
  • Rehabilitation 107
  • Computer Science Applications 87
  • Radiology, Nuclear Medicine and Imaging 282
Replace Irene Cheng with:
Irene Cheng Canada
Burkhard C. Wünsche New Zealand
Markus Wagner Germany
Emmanuel Agu United States
Fani Deligianni United Kingdom
Wen‐Chieh Lin Taiwan
Gregorij Kurillo United States
Mark Bolas United States
Luigi Gallo Italy
Mark Livingston United States
Imma Boada relative to Irene Cheng Canada Irene Cheng's profile →
Citations per field
00.5×2×4×6×8×9.7×
Irene Cheng · 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 109 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013211
2 2010150
3 2011142
4 2011116
5 2001107
6 201597
7 200955
8 200954
9 201151
10 201143
11 201140
12 201836
13 201033
14 202132
15 200428
16 201627
17 200625
18 200424
19 200824
20 200823

About Imma Boada

Imma Boada is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computational Mechanics, having authored 109 papers that have together received 1.9k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (20 papers), Medical Image Segmentation Techniques (14 papers), 3D Shape Modeling and Analysis (10 papers), Computational Geometry and Mesh Generation (9 papers), Advanced Neuroimaging Techniques and Applications (7 papers), Advanced Image and Video Retrieval Techniques (7 papers), Image Retrieval and Classification Techniques (7 papers) and Virtual Reality Applications and Impacts (6 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (256 citations), Computer Vision and Pattern Recognition (495 citations), Rehabilitation (107 citations), Computer Science Applications (87 citations) and Radiology, Nuclear Medicine and Imaging (282 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, Ferrán Prados, Rubén García, Gerard Blasco, Isabel Navazo, Sebastián Remollo and Pepus Daunis‐i‐Estadella. Their work appears in journals such as IEEE Access, Computer Methods and Programs in Biomedicine, American Journal of Neuroradiology, Computers & Graphics 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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