Lucas Teixeira
- Health Informatics top 2%
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- Radiomics and Machine Learning in Medical Imaging 3
- COVID-19 diagnosis using AI 3
- Artificial Intelligence top 5%
- AI in cancer detection 2
- Multi-Agent Systems and Negotiation 1
- Health Information Management top 10%
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- Face and Expression Recognition 2
- Advanced Image and Video Retrieval Techniques 2
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- Service-Oriented Architecture and Web Services 2
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- Mathematics, Computing, and Information Processing 1
Lucas Teixeira
11 papers receiving 440 citations
Hit Papers
Peers
Comparison fields: 5 of 52
- Health Informatics 75
- Radiology, Nuclear Medicine and Imaging 392
- Artificial Intelligence 280
- Health Information Management 21
- Computer Vision and Pattern Recognition 65
Countries citing papers authored by Lucas Teixeira
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
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
The 17 scholars most cited alongside Lucas Teixeira, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 3 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 4 | |
| 9 | 2023 | 8 | |
| 10 | 2022 | 9 | |
| 11 | 2022 | 1 | |
| 12 | 2021 | 96 | |
| 13 | COVID-19 identification in chest X-ray images on flat and hierarchical classification scenariosbreakdown → | 2020 | 328 |
| 14 | 2020 | 4 | |
| 15 | Multi-Agent and Context-Aware Solutions for a Global Software Development Environment | 2013 | 1 |
About Lucas Teixeira
Lucas Teixeira is a scholar working on Health Informatics, Family Practice and Music, having authored 15 papers that have together received 457 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (3 papers), COVID-19 diagnosis using AI (3 papers), AI in cancer detection (2 papers), Service-Oriented Architecture and Web Services (2 papers), Face and Expression Recognition (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Mathematics, Computing, and Information Processing (1 paper) and Multi-Agent Systems and Negotiation (1 paper). The work is most often cited by research in Health Informatics (75 citations), Radiology, Nuclear Medicine and Imaging (392 citations) and Artificial Intelligence (280 citations). Lucas Teixeira has collaborated with scholars based in Brazil, Italy and Sweden. Frequent co-authors include Yandre M. G. Costa, Diego Bertolini, Rodolfo M. Pereira, Carlos N. Silla, George D. C. Cavalcanti, Luiz S. Oliveira, Marianna Masiero, Virginia Sanchini, Elisabetta Munzone and Alceu S. Britto. Their work appears in journals such as Sensors, Knowledge-Based Systems and Computer Methods and Programs in Biomedicine.
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.