Luís Pinto

757 total citations
39 papers, 576 citations indexed

About

Luís Pinto is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition and Environmental Engineering. According to data from OpenAlex, Luís Pinto has authored 39 papers receiving a total of 576 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Biomedical Engineering, 8 papers in Computer Vision and Pattern Recognition and 7 papers in Environmental Engineering. Recurrent topics in Luís Pinto's work include Optical Coherence Tomography Applications (4 papers), Remote Sensing and LiDAR Applications (4 papers) and Numerical methods in inverse problems (4 papers). Luís Pinto is often cited by papers focused on Optical Coherence Tomography Applications (4 papers), Remote Sensing and LiDAR Applications (4 papers) and Numerical methods in inverse problems (4 papers). Luís Pinto collaborates with scholars based in Portugal, United States and Spain. Luís Pinto's co-authors include Gil Gonçalves, Umberto Andriolo, J.A. Ferreira, Isabel N. Figueiredo, Filipa Bessa, Diogo Duarte, Pedro Figueiredo, Ercı́lia Sousa, Sílvia Barbeiro and Richard Tzong‐Han Tsai and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Expert Systems with Applications.

In The Last Decade

Luís Pinto

38 papers receiving 559 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Luís Pinto Portugal	12	201	107	82	81	73	39	576
Jicheng Wang China	16	28 0.1×	318 3.0×	47 0.6×	50 0.6×	21 0.3×	56	732
Biao Li China	13	55 0.3×	79 0.7×	19 0.2×	21 0.3×	24 0.3×	60	1.1k
Baoxiang Huang China	19	29 0.1×	339 3.2×	72 0.9×	38 0.5×	50 0.7×	67	788
Yong Fang China	12	57 0.3×	29 0.3×	145 1.8×	95 1.2×	6 0.1×	64	666
G Crosta Italy	13	56 0.3×	13 0.1×	10 0.1×	112 1.4×	57 0.8×	66	583
Huiying Ren United States	17	9 0.0×	29 0.3×	207 2.5×	216 2.7×	40 0.5×	84	786
J. L. Mallet France	13	14 0.1×	63 0.6×	21 0.3×	74 0.9×	14 0.2×	44	704
Jinliang Zhang China	12	14 0.1×	12 0.1×	28 0.3×	49 0.6×	23 0.3×	78	583
Sandra Lorenz Germany	16	8 0.0×	86 0.8×	20 0.2×	116 1.4×	28 0.4×	56	829
Guoxiong Chen China	17	50 0.2×	26 0.2×	11 0.1×	124 1.5×	19 0.3×	64	858

Countries citing papers authored by Luís Pinto

Since Specialization

Citations

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

Fields of papers citing papers by Luís Pinto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luís Pinto

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Pereira, Paulo S., et al.. (2025). A method to map real-time gamma-ray radiation in urban areas near the soil surface. MethodsX. 14. 103414–103414. 1 indexed citations

Ferreira, J.A., et al.. (2024). Numerical analysis of light-controlled drug delivery systems. Journal of Computational and Applied Mathematics. 447. 115862–115862. 1 indexed citations

Ferreira, J.A., et al.. (2022). Drug delivery enhanced by ultrasound: Mathematical modeling and simulation. Computers & Mathematics with Applications. 107. 57–69. 9 indexed citations

Araújo, Hélder, et al.. (2021). Registration of Consecutive Frames From Wireless Capsule Endoscopy for 3D Motion Estimation. IEEE Access. 9. 119533–119545. 8 indexed citations

Pinto, Luís, Umberto Andriolo, & Gil Gonçalves. (2021). Detecting stranded macro-litter categories on drone orthophoto by a multi-class Neural Network. Marine Pollution Bulletin. 169. 112594–112594. 34 indexed citations

Andriolo, Umberto, Gil Gonçalves, Nelson Rangel-Buitrago, et al.. (2021). Drones for litter mapping: An inter-operator concordance test in marking beached items on aerial images. Marine Pollution Bulletin. 169. 112542–112542. 46 indexed citations

Ferreira, J.A., et al.. (2021). Numerical analysis of a porous–elastic model for convection enhanced drug delivery. Journal of Computational and Applied Mathematics. 399. 113719–113719. 4 indexed citations

Gonçalves, Gil, Umberto Andriolo, Luís Pinto, & Diogo Duarte. (2020). Mapping marine litter with Unmanned Aerial Systems: A showcase comparison among manual image screening and machine learning techniques. Marine Pollution Bulletin. 155. 111158–111158. 63 indexed citations

Gonçalves, Gil, Umberto Andriolo, Luís Pinto, & Filipa Bessa. (2019). Mapping marine litter using UAS on a beach-dune system: a multidisciplinary approach. The Science of The Total Environment. 706. 135742–135742. 114 indexed citations

10.

Figueiredo, Pedro, Isabel N. Figueiredo, Luís Pinto, et al.. (2019). Polyp detection with computer-aided diagnosis in white light colonoscopy: comparison of three different methods. SHILAP Revista de lepidopterología. 7(2). E209–E215. 27 indexed citations

11.

Ferreira, J.A., et al.. (2018). Approximating coupled hyperbolic–parabolic systems arising in enhanced drug delivery. Computers & Mathematics with Applications. 76(1). 81–97. 6 indexed citations

12.

Carmo, José Simão Antunes do, J.A. Ferreira, & Luís Pinto. (2018). On the accurate simulation of nearshore and dam break problems involving dispersive breaking waves. Wave Motion. 85. 125–143. 11 indexed citations

13.

Carmo, José Simão Antunes do, et al.. (2017). An improved Serre model: Efficient simulation and comparative evaluation. Applied Mathematical Modelling. 56. 404–423. 11 indexed citations

14.

Figueiredo, Isabel N., et al.. (2017). Dissimilarity Measure of Consecutive Frames in Wireless Capsule Endoscopy Videos: A Way of Searching for Abnormalities. Estudo Geral (Universidade de Coimbra). 56. 702–707. 4 indexed citations

15.

Barbeiro, Sílvia, et al.. (2017). Non-Fickian convection–diffusion models in porous media. Numerische Mathematik. 138(4). 869–904. 12 indexed citations

16.

Figueiredo, Isabel N., et al.. (2016). Automated retina identification based on multiscale elastic registration. Computers in Biology and Medicine. 79. 130–143. 14 indexed citations

17.

Figueiredo, Isabel N., et al.. (2016). Exploring smartphone sensors for fall detection. 5(1). 41 indexed citations

18.

Santos, Miriam Seoane, Adérito Araújo, Sílvia Barbeiro, et al.. (2015). Maxwell's equations based 3D model of light scattering in the retina. 58. 1–5. 1 indexed citations

19.

Correia, A., Luís Pinto, Adérito Araújo, et al.. (2014). Monte Carlo simulation of diabetic macular edema changes on optical coherence tomography. Investigative Ophthalmology & Visual Science. 55(13). 4807–4807. 1 indexed citations

20.

Ferreira, J.A. & Luís Pinto. (2012). Supraconvergence and supercloseness in quasilinear coupled problems. Journal of Computational and Applied Mathematics. 252. 120–131. 8 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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