Albert Gubern‐Mérida

54 papers receiving 3.2k citations

Albert Gubern‐Mérida's Hit Papers

Stand-Alone Artificial Intelligence for Breast Cancer Detection in Mammography: Comparison With 101 Radiologists 2018 · 494 citations
4940+3+6Years since publication250500750

Peers

Albert Gubern‐Mérida
Comparison fields: 5 of 116
  • Health Informatics 369
  • Artificial Intelligence 1.6k
  • Radiology, Nuclear Medicine and Imaging 777
  • Computer Vision and Pattern Recognition 567
  • Pulmonary and Respiratory Medicine 488
Replace Jonas Teuwen with:
Jonas Teuwen Netherlands
Krzysztof J. Geras United States
Junji Shiraishi Japan
Atilla P. Kiraly United States
Kimmo Kartasalo Finland
Sven Nebelung Germany
Alberto Traverso Netherlands
Tobias Penzkofer Germany
Shijun Wang United States
Stefanie Demirci Germany
Albert Gubern‐Mérida relative to Jonas Teuwen Netherlands Jonas Teuwen's profile →
Citations per field
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Jonas Teuwen · 1×
Citations per year

Countries citing papers authored by Albert Gubern‐Mérida

Since Specialization
Citations

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

Fields of papers citing papers by Albert Gubern‐Mérida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Albert Gubern‐Mérida. 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 Albert Gubern‐Mérida. The network helps show where Albert Gubern‐Mérida may publish in the future.

Co-authors

The 25 scholars most cited alongside Albert Gubern‐Mérida, 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 Albert Gubern‐Mérida Line = papers co-authored together Albert Gubern‐Mérida 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
Large scale deep learning for computer aided detection of mammographic lesions
Hit paper breakdown →
2016794
2
Stand-Alone Artificial Intelligence for Breast Cancer Detection in Mammography: Comparison With 101 Radiologists
Hit paper breakdown →
2018494
3 2016180
4 2019165
5 2014145
6 2021133
7 2014116
8 2014107
9 2019103
10 201786
11 201875
12 202173
13 202172
14 201870
15 201759
16 201654
17 201242
18 201740
19 201639
20 201835

About Albert Gubern‐Mérida

Albert Gubern‐Mérida is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Oncology, having authored 56 papers that have together received 3.3k indexed citations. Recurring topics across this work include AI in cancer detection (22 papers), Digital Radiography and Breast Imaging (18 papers), Medical Image Segmentation Techniques (18 papers), MRI in cancer diagnosis (12 papers) and Global Cancer Incidence and Screening (2 papers). The work is most often cited by research in Health Informatics (369 citations), Artificial Intelligence (1.6k citations), Radiology, Nuclear Medicine and Imaging (777 citations), Computer Vision and Pattern Recognition (567 citations) and Pulmonary and Respiratory Medicine (488 citations). Albert Gubern‐Mérida has collaborated with scholars based in Netherlands, Spain and Germany. Frequent co-authors include Ritse M. Mann, Nico Karssemeijer, Thijs Kooi, Geert J. S. Litjens, Bram van Ginneken, Clara Isabel Sánchez Gutiérrez, Alejandro Rodríguez‐Ruiz, Robert Martí, Suzan Vreemann and Bram Platel. Their work appears in journals such as Medical Physics, European Radiology, European Journal of Radiology, Medical Image Analysis and Radiology.

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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