Andrés Ortíz

5.2k total citations
130 papers, 2.8k citations indexed

About

Andrés Ortíz is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Andrés Ortíz has authored 130 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 32 papers in Computer Vision and Pattern Recognition and 28 papers in Cognitive Neuroscience. Recurrent topics in Andrés Ortíz's work include Brain Tumor Detection and Classification (18 papers), EEG and Brain-Computer Interfaces (18 papers) and Medical Image Segmentation Techniques (16 papers). Andrés Ortíz is often cited by papers focused on Brain Tumor Detection and Classification (18 papers), EEG and Brain-Computer Interfaces (18 papers) and Medical Image Segmentation Techniques (16 papers). Andrés Ortíz collaborates with scholars based in Spain, United Kingdom and United States. Andrés Ortíz's co-authors include Javier Ramı́rez, J. M. Górriz, Francisco J. Martínez-Murcia, Jorge Munilla, Julio Ortega, D. Salas-González, Richard O. Clemmer, Emiro De-La-Hoz-Franco, E. de la Hoz and Diego Castillo-Barnés and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Cleaner Production.

In The Last Decade

Andrés Ortíz

117 papers receiving 2.5k citations

Peers

Andrés Ortíz
Comparison fields: 5 of 182
  • Artificial Intelligence 787
  • Neurology 552
  • Computer Vision and Pattern Recognition 489
  • Cognitive Neuroscience 464
  • Radiology, Nuclear Medicine and Imaging 338
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Citations per field, relative to Andrés Ortíz
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Citations per year, relative to Andrés Ortíz
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Countries citing papers authored by Andrés Ortíz

Since Specialization
Citations

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

Fields of papers citing papers by Andrés Ortíz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrés Ortíz

This figure shows the co-authorship network connecting the top 25 collaborators of Andrés Ortíz. A scholar is included among the top collaborators of Andrés Ortíz 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 Andrés Ortíz. Andrés Ortíz 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
# Work Indexed citations
1 0
2 5
3 0
4 1
5 13
6 13
7 1
8 3
9 7
10 1
11 8
12 15
13 60
14 4
15 16
16 5
17 7
18
Úlceras por presión y heridas crónicas: revisión de las evidencias científicas sobre su prevención
1
19 11
20
The role of segmentation in lateral masking
11

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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