Said Pertuz

1.4k citations
47 papers · 889 indexed · 1 hit paper · h-index 11
Topics
AI in cancer detection (17 papers)Digital Radiography and Breast Imaging (14 papers)Radiomics and Machine Learning in Medical Imaging (9 papers)
Journals
SHILAP Revista de lepidopterologíaScientific ReportsRadiology
Partner nations
ColombiaFinlandSpain

In The Last Decade

Said Pertuz

43 papers receiving 841 citations

Hit Papers

Analysis of focus measure operators for shape-from-focus20122026201620212012100200300400

Peers

Said Pertuz
Comparison fields: 5 of 112
  • Media Technology 458
  • Computer Vision and Pattern Recognition 384
  • Atomic and Molecular Physics, and Optics 196
  • Radiology, Nuclear Medicine and Imaging 118
  • Biomedical Engineering 118
Replace Miguel Ángel García with:
Miguel Ángel García Spain
Faliu Yi South Korea
Esteban Vera Chile
Haishu Tan China
Yuri Murakami Japan
Fei Liu China
Elli Angelopoulou Germany
Michael Moeller Germany
Bindang Xue China
Jonas Unger Sweden
Said Pertuz relative to Miguel Ángel García Spain Miguel Ángel García's profile →
Citations per field
00.5×4.5×
Miguel Ángel García · 1×
Citations per year

Countries citing papers authored by Said Pertuz

Since Specialization
Citations

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

Fields of papers citing papers by Said Pertuz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Said Pertuz

This figure shows the co-authorship network connecting the top 25 collaborators of Said Pertuz. A scholar is included among the top collaborators of Said Pertuz 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 Said Pertuz. Said Pertuz 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
1 0
2 0
3 11
4 7
5 1
6 4
7 5
8 85
9 5
10 1
11 3
12 3
13 6
14 10
15 19
16 1
17 1
18 34
19 26
20 74

About Said Pertuz

Said Pertuz is a scholar working on Media Technology, Computer Science Applications and Computer Vision and Pattern Recognition, having authored 47 papers that have together received 889 indexed citations. Recurring topics across this work include AI in cancer detection (17 papers), Digital Radiography and Breast Imaging (14 papers) and Radiomics and Machine Learning in Medical Imaging (9 papers). The work is most often cited by research in Media Technology (458 citations), Computer Vision and Pattern Recognition (384 citations) and Biophysics (73 citations). Said Pertuz has collaborated with scholars based in Colombia, Finland and Spain. Frequent co-authors include Domènec Puig, Miguel Ángel García, Andrea Fusiello, Irina Rinta‐Kiikka, Otso Arponen, Joni‐Kristian Kämäräinen, Antti Tolonen, Despina Kontos, Emily F. Conant and Jiřı́ Matas. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports 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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