André V. Carreiro
- Artificial Intelligence
- Molecular Biology
- Cardiology and Cardiovascular Medicine
- Computer Vision and Pattern Recognition
- Cognitive Neuroscience
- Co-authors
- Hugo GambôaSara C. MadeiraDuarte FolgadoJoão André CarriçoMamede de CarvalhoMarília BarandasMargarida SilveiraRogério T. Ribeiro
- Topics
- Amyotrophic Lateral Sclerosis Research (7 papers)Gene expression and cancer classification (4 papers)Parkinson's Disease Mechanisms and Treatments (3 papers)
- Journals
- PLoS ONEIEEE AccessSensors
- Partner nations
- PortugalUnited StatesBrazil
In The Last Decade
André V. Carreiro
31 papers receiving 221 citations
Peers
Comparison fields: 5 of 78
- Artificial Intelligence 64
- Molecular Biology 44
- Cardiology and Cardiovascular Medicine 40
- Computer Vision and Pattern Recognition 29
- Cognitive Neuroscience 29
Countries citing papers authored by André V. Carreiro
This map shows the geographic impact of André V. Carreiro'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 André V. Carreiro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites André V. Carreiro more than expected).
Fields of papers citing papers by André V. Carreiro
This network shows the impact of papers produced by André V. Carreiro. 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 André V. Carreiro. The network helps show where André V. Carreiro may publish in the future.
Co-authorship network of co-authors of André V. Carreiro
This figure shows the co-authorship network connecting the top 25 collaborators of André V. Carreiro. A scholar is included among the top collaborators of André V. Carreiro 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 André V. Carreiro. André V. Carreiro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 30 | |
| 6 | 3 | |
| 7 | 0 | |
| 8 | 4 | |
| 9 | 5 | |
| 10 | 14 | |
| 11 | 9 | |
| 12 | 3 | |
| 13 | 9 | |
| 14 | 9 | |
| 15 | 13 | |
| 16 | Fraunhofer AICOS at CLEF eHealth 2020 Task 1: Clinical Code Extraction From Textual Data Using Fine-Tuned BERT Models. | 4 |
| 17 | 11 | |
| 18 | 22 | |
| 19 | 1 | |
| 20 | 3 |
About André V. Carreiro
André V. Carreiro is a scholar working on Neurology, Signal Processing and Artificial Intelligence, having authored 34 papers that have together received 228 indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (7 papers), Gene expression and cancer classification (4 papers) and Parkinson's Disease Mechanisms and Treatments (3 papers). The work is most often cited by research in Health Information Management (16 citations), Health Informatics (3 citations) and Artificial Intelligence (64 citations). André V. Carreiro has collaborated with scholars based in Portugal, United States and Brazil. Frequent co-authors include Hugo Gambôa, Sara C. Madeira, Duarte Folgado, João André Carriço, Mamede de Carvalho, Marília Barandas, Margarida Silveira, Rogério T. Ribeiro, Susana Pinto and Pedro M. Amaral. Their work appears in journals such as PLoS ONE, IEEE Access and Sensors.
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.