Rafael Namías

513 total citations
13 papers, 377 citations indexed

About

Rafael Namías is a scholar working on Epidemiology, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Rafael Namías has authored 13 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Epidemiology, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Rafael Namías's work include Acute Ischemic Stroke Management (4 papers), Medical Image Segmentation Techniques (4 papers) and Traumatic Brain Injury and Neurovascular Disturbances (3 papers). Rafael Namías is often cited by papers focused on Acute Ischemic Stroke Management (4 papers), Medical Image Segmentation Techniques (4 papers) and Traumatic Brain Injury and Neurovascular Disturbances (3 papers). Rafael Namías collaborates with scholars based in Argentina, United Kingdom and Germany. Rafael Namías's co-authors include Mónica G. Larese, Pablo M. Granitto, Roque Mario Craviotto, Eligio N. Morandi, Guillermo L. Grinblat, Lucas C. Uzal, Stephen Gerry, George Harston, Martin Bendszus and Marco Essig and has published in prestigious journals such as Expert Systems with Applications, Pattern Recognition and Computers and Electronics in Agriculture.

In The Last Decade

Rafael Namías

12 papers receiving 365 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Rafael Namías Argentina 7 218 90 81 67 67 13 377
Sundar Anand India 5 356 1.6× 46 0.5× 146 1.8× 12 0.2× 53 0.8× 5 496
İsmail KUNDURACIOĞLU Türkiye 9 168 0.8× 23 0.3× 76 0.9× 13 0.2× 9 0.1× 12 302
Veysel Turk Türkiye 8 59 0.3× 43 0.5× 33 0.4× 11 0.2× 14 0.2× 15 304
M. Hariharan India 7 359 1.6× 11 0.1× 147 1.8× 20 0.3× 53 0.8× 14 597
P. Mirunalini India 7 98 0.4× 24 0.3× 39 0.5× 7 0.1× 19 0.3× 15 239
Alfonso Medela Spain 8 225 1.0× 11 0.1× 67 0.8× 2 0.0× 38 0.6× 15 402
Muhammad Saqlain Pakistan 7 141 0.6× 27 0.3× 63 0.8× 7 0.1× 17 0.3× 28 288
Le Yang China 12 98 0.4× 7 0.1× 47 0.6× 13 0.2× 12 0.2× 28 338
Luis Octavio Solís-Sánchez Mexico 11 121 0.6× 27 0.3× 15 0.2× 10 0.1× 16 0.2× 43 327
Anthony Paproki Australia 10 179 0.8× 9 0.1× 6 0.1× 22 0.3× 103 1.5× 11 367

Countries citing papers authored by Rafael Namías

Since Specialization
Citations

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

Fields of papers citing papers by Rafael Namías

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rafael Namías

This figure shows the co-authorship network connecting the top 25 collaborators of Rafael Namías. A scholar is included among the top collaborators of Rafael Namías 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 Rafael Namías. Rafael Namías is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Abraham, Sonya, Davide Carone, Orell Mielke, et al.. (2025). Automatically quantified follow-up imaging biomarkers predict clinical outcomes after acute ischemic stroke. Frontiers in Neurology. 16. 1483138–1483138.
3.
Namías, Rafael, et al.. (2021). A Novel Automated Calculation of Basal Cistern Effacement Status on Computed Tomographic Imaging in Traumatic Brain Injury. Cureus. 13(2). e13144–e13144. 1 indexed citations
4.
Şeker, Fatih, Johannes Pfaff, Anne Berberich, et al.. (2021). Diagnostic accuracy of automated occlusion detection in CT angiography using e-CTA. International Journal of Stroke. 17(1). 77–82. 28 indexed citations
5.
Grunwald, Iris Q., Wolfgang Reith, Stephen Gerry, et al.. (2019). Collateral Automation for Triage in Stroke: Evaluating Automated Scoring of Collaterals in Acute Stroke on Computed Tomography Scans. Cerebrovascular Diseases. 47(5-6). 217–222. 61 indexed citations
6.
Uzal, Lucas C., Guillermo L. Grinblat, Rafael Namías, et al.. (2018). Seed-per-pod estimation for plant breeding using deep learning. Computers and Electronics in Agriculture. 150. 196–204. 113 indexed citations
7.
Larese, Mónica G., et al.. (2017). Clustering stability for automated color image segmentation. Expert Systems with Applications. 86. 258–273. 16 indexed citations
8.
Namías, Rafael, et al.. (2017). Open-source software platform for medical image segmentation applications. 5–5. 1 indexed citations
9.
Namías, Rafael, et al.. (2015). Multi-object segmentation framework using deformable models for medical imaging analysis. Medical & Biological Engineering & Computing. 54(8). 1181–1192. 6 indexed citations
10.
Namías, Rafael, et al.. (2014). Automatic rectum limit detection by anatomical markers correlation. Computerized Medical Imaging and Graphics. 38(4). 245–250. 1 indexed citations
11.
Namías, Rafael, et al.. (2014). Uterus segmentation in dynamic MRI using LBP texture descriptors. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9034. 90343W–90343W. 5 indexed citations
12.
Larese, Mónica G., et al.. (2013). Automatic classification of legumes using leaf vein image features. Pattern Recognition. 47(1). 158–168. 128 indexed citations
13.
Namías, Rafael, et al.. (2012). Automatic Grading of Green Intensity in Soybean Seeds. El Servicio de Difusión de la Creación Intelectual (National University of La Plata). 5 indexed citations

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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