Robert Martí

6.2k citations
106 papers · 3.3k indexed · 1 hit paper · h-index 25

Impact in

Papers in

Robert Martí

98 papers receiving 3.2k citations

Hit Papers

Automated Breast Ultrasound Lesions Detection Using Convolutional Neural Networks 2017 · 680 citations
6802017202620202023200400600

Peers

Robert Martí
Comparison fields: 5 of 134
  • Radiology, Nuclear Medicine and Imaging 1.8k
  • Computer Vision and Pattern Recognition 1.4k
  • Artificial Intelligence 2.0k
  • Health Informatics 57
  • Neurology 295
Replace Anselmo Cardoso de Paiva with:
Anselmo Cardoso de Paiva Brazil
Aristófanes Corrêa Silva Brazil
J. Shin United States
Xiaomeng Li China
Caroline Petitjean France
Yutong Xie China
Marcelo Gattass Brazil
Aurélio Campilho Portugal
Dong Yang United States
Leonardo Rundo Italy
Robert Martí relative to Anselmo Cardoso de Paiva Brazil Anselmo Cardoso de Paiva's profile →
Citations per field
00.5×1.7×
Anselmo Cardoso de Paiva · 1×
Citations per year

Countries citing papers authored by Robert Martí

Since Specialization
Citations

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

Fields of papers citing papers by Robert Martí

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20231
3 20234
4 202295
5 202216
6 20221
7 20211
8 202155
9 202092
10 201854
11 20178
12 201521
13 201492
14 2014140
15
Segmentation of the pectoral muscle in breast MRI using atlas-based approaches
20121
16 201115
17 20103
18
Slowly Changing Dimensions: a Pattern Language for Coping with Change in Analytical Information Processing.
20071
19
Information Integration in a Global Enterprise: Some Experiences from a Financial Services Company.
20030
20 20020

About Robert Martí

Robert Martí is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Pulmonary and Respiratory Medicine and Media Technology, having authored 106 papers that have together received 3.3k indexed citations. Recurring topics across this work include AI in cancer detection (61 papers), Medical Image Segmentation Techniques (34 papers), Radiomics and Machine Learning in Medical Imaging (25 papers), Digital Radiography and Breast Imaging (21 papers), Image Retrieval and Classification Techniques (16 papers), Medical Imaging Techniques and Applications (12 papers), Medical Imaging and Analysis (9 papers) and Prostate Cancer Diagnosis and Treatment (8 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.8k citations), Computer Vision and Pattern Recognition (1.4k citations), Artificial Intelligence (2.0k citations), Health Informatics (57 citations) and Neurology (295 citations). Robert Martí has collaborated with scholars based in Spain, United Kingdom and France. Frequent co-authors include Reyer Zwiggelaar, Moi Hoon Yap, Xavier Lladó, Jordi Freixenet, Arnau Oliver, Sergi Ganau, Joan C. Vilanova, Melcior Sentís, Gérard Pons and Adrian K. Davison. Their work appears in journals such as Sensors, Medical Image Analysis, Computers in Biology and Medicine, Medical Physics and IEEE Journal of Biomedical and Health Informatics.

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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