João Santos

1.7k citations
75 papers · 1.1k indexed · 1 hit paper · h-index 17
Topics
Advanced Radiotherapy Techniques (14 papers)Magnetic properties of thin films (12 papers)Radiomics and Machine Learning in Medical Imaging (12 papers)

In The Last Decade

João Santos

73 papers receiving 1.1k citations

Hit Papers

Cross-Validation for Imbalanced Datasets: Avoiding Overop...2018202620202023201850100150200250

Peers

João Santos
Comparison fields: 5 of 157
  • Artificial Intelligence 394
  • Radiology, Nuclear Medicine and Imaging 295
  • Biomedical Engineering 140
  • Molecular Biology 100
  • Electrical and Electronic Engineering 97
Replace Matthew Field with:
Matthew Field Australia
Julien Abinahed Qatar
Rachid Jennane France
İlker Özşahin Cyprus
Geoff Pleiss United States
Lauren Kim United States
Chung‐Ming Chen Taiwan
Andreu Badal United States
Yupei Zhang China
Riku Klén Finland
João Santos relative to Matthew Field Australia Matthew Field's profile →
Citations per field
00.5×5.9×
Matthew Field · 1×
Citations per year

Countries citing papers authored by João Santos

Since Specialization
Citations

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

Fields of papers citing papers by João Santos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of João Santos

This figure shows the co-authorship network connecting the top 25 collaborators of João Santos. A scholar is included among the top collaborators of João Santos based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with João Santos. João Santos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
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3 8
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5 70
6 51
7 16
8 23
9 59
10 3
11
Interpreting deep learning models for ordinal problems.
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12 10
13 8
14 2
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16 7
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18 12
19 10
20 5

About João Santos

João Santos is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging and Condensed Matter Physics, having authored 75 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (14 papers), Magnetic properties of thin films (12 papers) and Radiomics and Machine Learning in Medical Imaging (12 papers). The work is most often cited by research in Health Informatics (22 citations), Radiology, Nuclear Medicine and Imaging (295 citations) and Artificial Intelligence (394 citations). João Santos has collaborated with scholars based in Portugal, Spain and United States. Frequent co-authors include Pedro Henriques Abreu, Miriam Seoane Santos, J. Soares, Hélder Araújo, Inês Domingues, Hugo Duarte, Pedro Martins, Alberto Fernández, Nathalie Japkowicz and Gisèle Pereira. Their work appears in journals such as Journal of Applied Physics, Physical Review B and Journal of Cell Science.

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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