Luı́s A. Alexandre

4.1k citations
81 papers · 2.0k · h-index 22

Impact in

Papers in

Luı́s A. Alexandre

75 papers receiving 1.9k citations

Peers

Luı́s A. Alexandre
Comparison fields: 5 of 127
  • Signal Processing 951
  • Computer Vision and Pattern Recognition 928
  • Information Systems 479
  • Safety Research 137
  • Human-Computer Interaction 78
Replace Kar‐Ann Toh with:
Kar‐Ann Toh South Korea
Yilong Yin China
Daniel Riccio Italy
Prabir Bhattacharya United States
Chaowei Xiao United States
Yilong Yin China
Jean‐Luc Dugelay France
宏治 津田 Japan
Serhii Havrylov Ukraine
Qing Guo China
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Luı́s A. Alexandre, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Luı́s A. Alexandre Line = papers co-authored together Luı́s A. Alexandre links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009349
2 2006161
3 2007142
4
3D Descriptors for Object and Category Recognition: a Comparative Evaluation
2012109
5 2010102
6 200185
7 200782
8 200877
9
Proceedings of the 17th international conference on Artificial neural networks
200768
10 201152
11 201650
12 200949
13 201439
14 201938
15 200835
16 201535
17 202232
18 200628
19 201328
20 201424

About Luı́s A. Alexandre

Luı́s A. Alexandre is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Control and Systems Engineering and Information Systems, having authored 81 papers that have together received 2.0k indexed citations. Recurring topics across this work include Biometric Identification and Security (15 papers), Neural Networks and Applications (14 papers), Robotics and Sensor-Based Localization (10 papers), Advanced Neural Network Applications (9 papers), Robot Manipulation and Learning (8 papers), IoT and Edge/Fog Computing (7 papers), Domain Adaptation and Few-Shot Learning (6 papers) and Advanced Image and Video Retrieval Techniques (6 papers). The work is most often cited by research in Signal Processing (951 citations), Computer Vision and Pattern Recognition (928 citations), Information Systems (479 citations), Safety Research (137 citations) and Human-Computer Interaction (78 citations). Luı́s A. Alexandre has collaborated with scholars based in Portugal, United States and Canada. Frequent co-authors include Hugo Proença, Sílvio Filipe, Ricardo Santos, Joaquim Marques de Sá, Luís M. Silva, Aurélio Campilho, Jorge M. Santos, Mohamed S. Kamel, Danilo P. Mandic and Włodzisław Duch. Their work appears in journals such as Pattern Recognition Letters, IEEE Transactions on Pattern Analysis and Machine Intelligence, Image and Vision Computing, Neural Computation and Robotics and Autonomous Systems.

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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