Luı́s A. Alexandre

4.1k total citations
82 papers, 2.0k citations indexed

About

Luı́s A. Alexandre is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Luı́s A. Alexandre has authored 82 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Artificial Intelligence, 32 papers in Computer Vision and Pattern Recognition and 24 papers in Signal Processing. Recurrent topics in Luı́s A. Alexandre's work include Biometric Identification and Security (15 papers), Neural Networks and Applications (14 papers) and Robotics and Sensor-Based Localization (10 papers). Luı́s A. Alexandre is often cited by papers focused on Biometric Identification and Security (15 papers), Neural Networks and Applications (14 papers) and Robotics and Sensor-Based Localization (10 papers). Luı́s A. Alexandre collaborates with scholars based in Portugal, United States and Canada. Luı́s A. Alexandre's co-authors include Hugo Proença, Sílvio Filipe, Ricardo Santos, Luís M. Silva, Aurélio Campilho, Jorge M. Santos, Mohamed S. Kamel, Danilo P. Mandic, Włodzisław Duch and Gabriel Falcão and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

In The Last Decade

Luı́s A. Alexandre

76 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luı́s A. Alexandre Portugal 22 954 929 479 411 167 82 2.0k
Kar‐Ann Toh South Korea 26 909 1.0× 1.3k 1.4× 356 0.7× 607 1.5× 55 0.3× 167 2.3k
M. Hanmandlu India 33 673 0.7× 2.2k 2.3× 341 0.7× 1.2k 2.9× 57 0.3× 263 3.9k
Prabir Bhattacharya United States 26 392 0.4× 791 0.9× 254 0.5× 777 1.9× 42 0.3× 179 2.8k
Yilong Yin China 30 1.5k 1.5× 1.6k 1.7× 322 0.7× 556 1.4× 731 4.4× 115 3.3k
Yilong Yin China 31 360 0.4× 2.0k 2.1× 188 0.4× 1.6k 4.0× 95 0.6× 235 3.5k
Xiaoyi Feng China 23 855 0.9× 1.8k 1.9× 232 0.5× 500 1.2× 53 0.3× 160 2.7k
Jean‐Luc Dugelay France 29 1.2k 1.3× 3.6k 3.9× 358 0.7× 573 1.4× 44 0.3× 226 4.1k
Banshidhar Majhi India 31 503 0.5× 1.8k 1.9× 490 1.0× 1.3k 3.1× 25 0.1× 189 3.3k
Alhussein Fawzi Switzerland 12 716 0.8× 879 0.9× 66 0.1× 2.8k 6.7× 28 0.2× 17 3.2k
Prem Natarajan United States 29 515 0.5× 3.0k 3.3× 169 0.4× 1.5k 3.7× 19 0.1× 165 4.2k

Countries citing papers authored by Luı́s A. Alexandre

Since Specialization
Citations

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

Fields of papers citing papers by Luı́s A. Alexandre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luı́s A. Alexandre. 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 Luı́s A. Alexandre. The network helps show where Luı́s A. Alexandre may publish in the future.

Co-authorship network of co-authors of Luı́s A. Alexandre

This figure shows the co-authorship network connecting the top 25 collaborators of Luı́s A. Alexandre. A scholar is included among the top collaborators of Luı́s A. Alexandre 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 Luı́s A. Alexandre. Luı́s A. Alexandre 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
1.
Alexandre, Luı́s A., et al.. (2024). A survey of demonstration learning. Robotics and Autonomous Systems. 182. 104812–104812. 8 indexed citations
2.
Mousavirad, Seyed Jalaleddin & Luı́s A. Alexandre. (2024). Metaheuristic-based energy-aware image compression for mobile app development. Multimedia Tools and Applications. 3 indexed citations
3.
Alexandre, Luı́s A., et al.. (2024). A Survey on Task Allocation and Scheduling in Robotic Network Systems. IEEE Internet of Things Journal. 12(2). 1484–1508. 1 indexed citations
4.
Mousavirad, Seyed Jalaleddin & Luı́s A. Alexandre. (2023). Energy-aware JPEG image compression: A multi-objective approach. Applied Soft Computing. 141. 110278–110278. 3 indexed citations
5.
Alexandre, Luı́s A., et al.. (2023). MPF6D: masked pyramid fusion 6D pose estimation. Pattern Analysis and Applications. 26(3). 1363–1373. 1 indexed citations
6.
Alexandre, Luı́s A., et al.. (2022). An Efficient Pick-and-Place Pipeline based on Quantized Segmentation. 177–182.
7.
Alexandre, Luı́s A., et al.. (2021). Real-time 2D–3D door detection and state classification on a low-power device. SN Applied Sciences. 3(5). 590–590. 10 indexed citations
8.
Silva, Luís M., et al.. (2016). High-Content Analysis of Breast Cancer Using Single-Cell Deep Transfer Learning. SLAS DISCOVERY. 21(3). 252–259. 50 indexed citations
9.
Filipe, Sílvio & Luı́s A. Alexandre. (2015). A comparative evaluation of 3D keypoint detectors in a RGB-D Object Dataset. 1. 476–483. 2 indexed citations
10.
Silva, Luís M., et al.. (2014). Improving transfer learning accuracy by reusing Stacked Denoising Autoencoders. 1380–1387. 24 indexed citations
11.
Alexandre, Luı́s A., Mário J. Silva, & Aurélio Campilho. (2012). Detection of the occupation of the costal diaphragmatic angle in chest radiographs. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT).
12.
Alexandre, Luı́s A.. (2012). 3D Descriptors for Object and Category Recognition: a Comparative Evaluation. 109 indexed citations
13.
Alexandre, Luı́s A.. (2010). Gender recognition: A multiscale decision fusion approach. Pattern Recognition Letters. 31(11). 1422–1427. 102 indexed citations
14.
Embrechts, Mark J., Luı́s A. Alexandre, & Jonathan D. Linton. (2009). Reservoir computing for static pattern recognition. The European Symposium on Artificial Neural Networks. 16 indexed citations
15.
Proença, Hugo & Luı́s A. Alexandre. (2009). Iris recognition: Analysis of the error rates regarding the accuracy of the segmentation stage. Image and Vision Computing. 28(1). 202–206. 49 indexed citations
16.
Proença, Hugo, et al.. (2009). The UBIRIS.v2: A Database of Visible Wavelength Iris Images Captured On-the-Move and At-a-Distance. IEEE Transactions on Pattern Analysis and Machine Intelligence. 32(8). 1529–1535. 348 indexed citations
17.
Santos, Jorge M., J De, & Luı́s A. Alexandre. (2007). LEGClust—A Clustering Algorithm Based on Layered Entropic Subgraphs. IEEE Transactions on Pattern Analysis and Machine Intelligence. 30(1). 62–75. 15 indexed citations
18.
Proença, Hugo & Luı́s A. Alexandre. (2007). Toward Noncooperative Iris Recognition: A Classification Approach Using Multiple Signatures. IEEE Transactions on Pattern Analysis and Machine Intelligence. 29(4). 607–612. 142 indexed citations
19.
Silva, Luís M., et al.. (2006). Error Entropy in Classification Problems: A Univariate Data Analysis. Neural Computation. 18(9). 2036–2061. 12 indexed citations
20.
Silva, Luís M., et al.. (2005). Neural Network Classification using Shannon's Entropy. The European Symposium on Artificial Neural Networks. 217–222. 21 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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