Alexandra M. Carvalho

758 total citations
26 papers, 346 citations indexed

About

Alexandra M. Carvalho is a scholar working on Artificial Intelligence, Molecular Biology and Management Science and Operations Research. According to data from OpenAlex, Alexandra M. Carvalho has authored 26 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 9 papers in Molecular Biology and 5 papers in Management Science and Operations Research. Recurrent topics in Alexandra M. Carvalho's work include Bayesian Modeling and Causal Inference (8 papers), Data Quality and Management (5 papers) and Anomaly Detection Techniques and Applications (4 papers). Alexandra M. Carvalho is often cited by papers focused on Bayesian Modeling and Causal Inference (8 papers), Data Quality and Management (5 papers) and Anomaly Detection Techniques and Applications (4 papers). Alexandra M. Carvalho collaborates with scholars based in Portugal, France and Finland. Alexandra M. Carvalho's co-authors include Arlindo L. Oliveira, Ana T. Freitas, Alexandre P. Francisco, Susana Vinga, Teemu Roos, Isabel Sá‐Correia, Miguel C. Teixeira, Pedro T. Monteiro, Artur B. Lourenço and Nuno D. Mendes and has published in prestigious journals such as Nucleic Acids Research, IEEE Transactions on Information Theory and Sensors.

In The Last Decade

Alexandra M. Carvalho

25 papers receiving 338 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alexandra M. Carvalho Portugal 9 202 101 26 20 19 26 346
An Wang China 11 167 0.8× 108 1.1× 25 1.0× 4 0.2× 26 1.4× 53 401
Nicoletta Dessì Italy 8 114 0.6× 132 1.3× 8 0.3× 19 0.9× 59 3.1× 30 290
Olufemi Aromolaran Nigeria 7 169 0.8× 66 0.7× 11 0.4× 3 0.1× 23 1.2× 14 328
Liliana Ironi Italy 11 105 0.5× 122 1.2× 4 0.2× 7 0.3× 13 0.7× 34 315
Chase Krumpelman United States 4 80 0.4× 96 1.0× 29 1.1× 8 0.4× 30 1.6× 9 218
Habib MotieGhader Iran 12 260 1.3× 117 1.2× 10 0.4× 3 0.1× 17 0.9× 20 445
Beatriz Pontes Spain 8 187 0.9× 138 1.4× 27 1.0× 2 0.1× 42 2.2× 14 330
Raúl Giráldez Spain 8 188 0.9× 140 1.4× 25 1.0× 2 0.1× 43 2.3× 15 325
Ben Heavner United States 10 326 1.6× 36 0.4× 3 0.1× 42 2.1× 43 2.3× 13 518

Countries citing papers authored by Alexandra M. Carvalho

Since Specialization
Citations

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

Fields of papers citing papers by Alexandra M. Carvalho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alexandra M. Carvalho. 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 Alexandra M. Carvalho. The network helps show where Alexandra M. Carvalho may publish in the future.

Co-authorship network of co-authors of Alexandra M. Carvalho

This figure shows the co-authorship network connecting the top 25 collaborators of Alexandra M. Carvalho. A scholar is included among the top collaborators of Alexandra M. Carvalho 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 Alexandra M. Carvalho. Alexandra M. Carvalho 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.
Carvalho, Alexandra M., et al.. (2025). Enhancing Prognostic Signatures in Glioblastoma with Feature Selection and Regularised Cox Regression. Genes. 16(5). 473–473. 1 indexed citations
2.
Rodrigues, Ana Maria, et al.. (2023). Zgli: A Pipeline for Clustering by Compression with Application to Patient Stratification in Spondyloarthritis. Sensors. 23(3). 1219–1219. 3 indexed citations
3.
Carvalho, Alexandra M., et al.. (2023). Using Markov chains and temporal alignment to identify clinical patterns in Dementia. Journal of Biomedical Informatics. 140. 104328–104328.
4.
Vinga, Susana, et al.. (2021). Outlier Detection for Multivariate Time Series Using Dynamic Bayesian Networks. Applied Sciences. 11(4). 1955–1955. 5 indexed citations
5.
Rodrigues, Ana Maria, et al.. (2021). Predicting Biologic Therapy Outcome of Patients With Spondyloarthritis: Joint Models for Longitudinal and Survival Analysis. JMIR Medical Informatics. 9(7). e26823–e26823. 7 indexed citations
6.
Leão, Tiago, Sara C. Madeira, Marta Gromicho, Mamede de Carvalho, & Alexandra M. Carvalho. (2021). Learning dynamic Bayesian networks from time-dependent and time-independent data: Unraveling disease progression in Amyotrophic Lateral Sclerosis. Journal of Biomedical Informatics. 117. 103730–103730. 12 indexed citations
7.
Canhão, Helena, et al.. (2019). AliClu - Temporal sequence alignment for clustering longitudinal clinical data. BMC Medical Informatics and Decision Making. 19(1). 289–289. 5 indexed citations
8.
Alho, Irina, et al.. (2019). Modelling cancer outcomes of bone metastatic patients: combining survival data with N-Telopeptide of type I collagen (NTX) dynamics through joint models. BMC Medical Informatics and Decision Making. 19(1). 13–13. 5 indexed citations
9.
Paunković, Nikola, et al.. (2019). Information-Theoretical Criteria for Characterizing the Earliness of Time-Series Data. Entropy. 22(1). 49–49. 1 indexed citations
10.
Carvalho, Alexandra M., et al.. (2018). Model selection for clustering of pharmacokinetic responses. Computer Methods and Programs in Biomedicine. 162. 11–18. 5 indexed citations
11.
Carvalho, Alexandra M., et al.. (2018). Polynomial-Time Algorithm for Learning Optimal BFS-Consistent Dynamic Bayesian Networks. Entropy. 20(4). 274–274. 5 indexed citations
12.
Vinga, Susana, et al.. (2017). Unsupervised learning of pharmacokinetic responses. Computational Statistics. 32(2). 409–428. 2 indexed citations
13.
Monteiro, José Luiz Fontes, Susana Vinga, & Alexandra M. Carvalho. (2015). Polynomial-time algorithm for learning optimal tree-augmented dynamic Bayesian networks. Uncertainty in Artificial Intelligence. 622–631. 5 indexed citations
14.
Carvalho, Alexandra M., et al.. (2015). Outlier Detection in Survival Analysis based on the Concordance C-index. 75–82. 5 indexed citations
15.
Carvalho, Alexandra M., Pedro Adão, & Paulo Mateus. (2014). Hybrid learning of Bayesian multinets for binary classification. Pattern Recognition. 47(10). 3438–3450. 10 indexed citations
16.
Vinga, Susana, Alexandra M. Carvalho, Alexandre P. Francisco, Luís M. S.​Russo, & Jonas S. Almeida. (2012). Pattern matching through Chaos Game Representation: bridging numerical and discrete data structures for biological sequence analysis. Algorithms for Molecular Biology. 7(1). 10–10. 30 indexed citations
17.
Carvalho, Alexandra M., Teemu Roos, Arlindo L. Oliveira, & Petri Myllymäki. (2011). Discriminative Learning of Bayesian Networks via Factorized Conditional Log-Likelihood. Journal of Machine Learning Research. 12(63). 2181–2210. 36 indexed citations
18.
Carvalho, Alexandra M. & Arlindo L. Oliveira. (2011). GRISOTTO: A greedy approach to improve combinatorial algorithms for motif discovery with prior knowledge. Algorithms for Molecular Biology. 6(1). 13–13. 2 indexed citations
19.
Monteiro, Pedro T., Nuno D. Mendes, Miguel C. Teixeira, et al.. (2007). YEASTRACT-DISCOVERER: new tools to improve the analysis of transcriptional regulatory associations in Saccharomyces cerevisiae. Nucleic Acids Research. 36(Database). D132–D136. 120 indexed citations
20.
Carvalho, Alexandra M., Ana T. Freitas, Arlindo L. Oliveira, & Marie‐France Sagot. (2006). An Efficient Algorithm for the Identification of Structured Motifs in DNA Promoter Sequences. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 3(2). 126–140. 35 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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