Lucas Teixeira

785 total citations · 1 hit paper
15 papers, 457 citations indexed

About

Lucas Teixeira is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Lucas Teixeira has authored 15 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Lucas Teixeira's work include Radiomics and Machine Learning in Medical Imaging (3 papers), COVID-19 diagnosis using AI (3 papers) and AI in cancer detection (2 papers). Lucas Teixeira is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (3 papers), COVID-19 diagnosis using AI (3 papers) and AI in cancer detection (2 papers). Lucas Teixeira collaborates with scholars based in Brazil, Italy and Sweden. Lucas Teixeira's co-authors include Yandre M. G. Costa, Diego Bertolini, Rodolfo M. Pereira, Carlos N. Silla, George D. C. Cavalcanti, Luiz S. Oliveira, Marianna Masiero, Ricardo Pietrobon, Alceu S. Britto and Elisabetta Munzone and has published in prestigious journals such as Sensors, Knowledge-Based Systems and Computer Methods and Programs in Biomedicine.

In The Last Decade

Lucas Teixeira

11 papers receiving 440 citations

Hit Papers

COVID-19 identification in chest X-ray images on flat and... 2020 2026 2022 2024 2020 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. COVID-19 identification in chest X-ray images on flat and hierarchical classification scenarios
    2020 328 citations Rodolfo M. Pereira, Diego Bertolini et al. Computer Methods and Programs in Biomedicine profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lucas Teixeira Brazil 5 392 280 77 75 65 15 457
Tej Bahadur Chandra India 8 297 0.8× 184 0.7× 52 0.7× 36 0.5× 80 1.2× 18 425
Michael J. Horry Australia 5 316 0.8× 207 0.7× 55 0.7× 62 0.8× 53 0.8× 8 378
Sakshi Ahuja India 7 331 0.8× 251 0.9× 56 0.7× 39 0.5× 114 1.8× 10 450
Utkarsh Sinha India 6 295 0.8× 196 0.7× 41 0.5× 44 0.6× 66 1.0× 13 368
Vruddhi Shah India 6 320 0.8× 237 0.8× 35 0.5× 50 0.7× 55 0.8× 11 432
Khalid El Asnaoui Morocco 6 273 0.7× 177 0.6× 46 0.6× 51 0.7× 78 1.2× 16 359
Huan Yuan China 4 486 1.2× 318 1.1× 66 0.9× 130 1.7× 79 1.2× 6 612
Vaibhav Arora India 7 295 0.8× 201 0.7× 41 0.5× 44 0.6× 101 1.6× 10 404
He Sui China 7 327 0.8× 242 0.9× 39 0.5× 72 1.0× 88 1.4× 17 487
Wade Menpes-Smith United Kingdom 5 321 0.8× 200 0.7× 37 0.5× 72 1.0× 71 1.1× 5 389

Countries citing papers authored by Lucas Teixeira

Since Specialization
Citations

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

Fields of papers citing papers by Lucas Teixeira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lucas Teixeira

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

All Works

15 of 15 papers shown
1.
Teixeira, Lucas, Diego Bertolini, Luiz S. Oliveira, George D. C. Cavalcanti, & Yandre M. G. Costa. (2025). Improving open set recognition with dissimilarity-based metric learning. Knowledge-Based Systems. 327. 114108–114108.
2.
Monzani, Dario, et al.. (2025). The Beacon Wiki: Mapping oncological information across the European Union. BMC Medical Informatics and Decision Making. 25(1). 193–193. 1 indexed citations
3.
4.
Teixeira, Lucas, et al.. (2025). Triplet dissimilarity: a texture classification approach using dissimilarity and siamese networks. Soft Computing. 29(11-12). 4725–4742. 3 indexed citations
5.
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7.
Teixeira, Lucas, et al.. (2024). Music Genre Classification Using Contrastive Dissimilarity. 1–8. 2 indexed citations
8.
Teixeira, Lucas, Diego Bertolini, Luiz S. Oliveira, George D. C. Cavalcanti, & Yandre M. G. Costa. (2024). Contrastive dissimilarity: optimizing performance on imbalanced and limited data sets. Neural Computing and Applications. 36(32). 20439–20456. 4 indexed citations
9.
Masiero, Marianna, Virginia Sanchini, Elisabetta Munzone, et al.. (2023). A Machine Learning Model to Predict Patients’ Adherence Behavior and a Decision Support System for Patients With Metastatic Breast Cancer: Protocol for a Randomized Controlled Trial. JMIR Research Protocols. 12. e48852–e48852. 8 indexed citations
10.
Costa, Yandre M. G., Lucas Teixeira, Rodolfo M. Pereira, et al.. (2022). COVID-19 Detection on Chest X-ray and CT Scan: A Review of the Top-100 Most Cited Papers. Sensors. 22(19). 7303–7303. 9 indexed citations
11.
Teixeira, Lucas, Rodolfo M. Pereira, Jacqueline Nelisis Zanoni, et al.. (2022). Cancer Identification in Enteric Nervous System Preclinical Images Using Handcrafted and Automatic Learned Features. Neural Processing Letters. 55(5). 5811–5832. 1 indexed citations
12.
Teixeira, Lucas. (2021). Impact of Lung Segmentation on the Diagnosis and Explanation of COVID-19 in Chest X-ray Images. MDPI (MDPI AG). 96 indexed citations
13.
Pereira, Rodolfo M., Diego Bertolini, Lucas Teixeira, Carlos N. Silla, & Yandre M. G. Costa. (2020). COVID-19 identification in chest X-ray images on flat and hierarchical classification scenarios. Computer Methods and Programs in Biomedicine. 194. 105532–105532. 328 indexed citations breakdown →
14.
Teixeira, Lucas, et al.. (2020). OntoExper-SPL: An Ontology for Software Product Line Experiments. 401–408. 4 indexed citations
15.
Teixeira, Lucas, et al.. (2013). Multi-Agent and Context-Aware Solutions for a Global Software Development Environment. 11. 115–129. 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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