Luís Freire

844 total citations
11 papers, 628 citations indexed

About

Luís Freire is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Luís Freire has authored 11 papers receiving a total of 628 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Cognitive Neuroscience. Recurrent topics in Luís Freire's work include Medical Image Segmentation Techniques (3 papers), Advanced MRI Techniques and Applications (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Luís Freire is often cited by papers focused on Medical Image Segmentation Techniques (3 papers), Advanced MRI Techniques and Applications (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Luís Freire collaborates with scholars based in Portugal, Netherlands and Mexico. Luís Freire's co-authors include Jean‐François Mangin, Alexis Roche, Coert Metz, J.G. Alves, Stefan Klein, Luı́s A. Alexandre, L. Santos, P. Almeida and Filipe Santos and has published in prestigious journals such as NeuroImage, IEEE Transactions on Medical Imaging and Radiation Measurements.

In The Last Decade

Luís Freire

10 papers receiving 617 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Luís Freire Portugal	6	475	237	67	61	48	11	628
Mark Jarmasz Canada	8	444 0.9×	166 0.7×	24 0.4×	45 0.7×	44 0.9×	15	642
Jian Le United States	10	726 1.5×	162 0.7×	43 0.6×	61 1.0×	30 0.6×	12	887
Sylvain Takerkart France	16	640 1.3×	145 0.6×	38 0.6×	113 1.9×	37 0.8×	38	816
Yan Tang China	14	299 0.6×	111 0.5×	43 0.6×	30 0.5×	20 0.4×	32	577
Klaudius Kalcher Austria	13	518 1.1×	214 0.9×	68 1.0×	22 0.4×	12 0.3×	23	761
Kenichi Kashikura Japan	15	393 0.8×	278 1.2×	28 0.4×	38 0.6×	17 0.4×	35	735
Marc A. Burock United States	7	1.1k 2.2×	272 1.1×	47 0.7×	24 0.4×	41 0.9×	10	1.2k
Robert Grzeszczuk United States	9	312 0.7×	125 0.5×	48 0.7×	14 0.2×	66 1.4×	17	559
Martin Havlíček Netherlands	13	602 1.3×	380 1.6×	31 0.5×	23 0.4×	19 0.4×	18	747
Kaustubh Kulkarni United States	10	482 1.0×	158 0.7×	51 0.8×	10 0.2×	43 0.9×	18	667

Countries citing papers authored by Luís Freire

Since Specialization

Citations

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

Fields of papers citing papers by Luís Freire

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luís Freire

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

All Works

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11 of 11 papers shown

1.

Freire, Luís, et al.. (2019). Framework for the Management of a Large Stock of Earth Retaining Structures. Report.

2.

Alexandre, Luı́s A., et al.. (2018). Lesion classification in mammograms using convolutional neural networks and transfer learning. Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization. 7(5-6). 550–556. 16 indexed citations

3.

Metz, Coert, et al.. (2015). Registration-by-regression of coronary CTA and X-ray angiography. Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization. 5(3). 208–220. 19 indexed citations

4.

Metz, Coert, et al.. (2012). 3D-2D image registration by nonlinear regression. 2. 1343–1346. 3 indexed citations

5.

Freire, Luís, et al.. (2010). Evaluation of the performance of two LiF:Mg,Ti and LiF:Mg,Cu,P dosemeters for extremity monitoring. Radiation Protection Dosimetry. 144(1-4). 140–143. 7 indexed citations

6.

Freire, Luís, et al.. (2010). FMRI 3D registration based on Fourier space subsets using neural networks. PubMed. 32. 5624–5627. 5 indexed citations

7.

Freire, Luís, et al.. (2007). Comparison of LiF (TLD-100 and TLD-100H) detectors for extremity monitoring. Radiation Measurements. 43(2-6). 646–650. 18 indexed citations

8.

Freire, Luís, Alexis Roche, & Jean‐François Mangin. (2002). What is the best similarity measure for motion correction in fMRI time series?. IEEE Transactions on Medical Imaging. 21(5). 470–484. 309 indexed citations

9.

Freire, Luís, et al.. (2002). Registration by maximization of mutual information-a cross validation study. 322–329. 1 indexed citations

10.

Freire, Luís & Jean‐François Mangin. (2001). Motion Correction Algorithms May Create Spurious Brain Activations in the Absence of Subject Motion. NeuroImage. 14(3). 709–722. 249 indexed citations

11.

Freire, Luís. (1994). Colección "Luis Freire": catálogo de las conchas expuestas en el Albergue Juvenil de Gandarío. Dialnet (Universidad de la Rioja). 1 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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