André Gonçalves

1.2k total citations
32 papers, 724 citations indexed

About

André Gonçalves is a scholar working on Artificial Intelligence, Global and Planetary Change and Signal Processing. According to data from OpenAlex, André Gonçalves has authored 32 papers receiving a total of 724 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 6 papers in Global and Planetary Change and 5 papers in Signal Processing. Recurrent topics in André Gonçalves's work include Speech and Audio Processing (5 papers), Meteorological Phenomena and Simulations (5 papers) and Climate variability and models (5 papers). André Gonçalves is often cited by papers focused on Speech and Audio Processing (5 papers), Meteorological Phenomena and Simulations (5 papers) and Climate variability and models (5 papers). André Gonçalves collaborates with scholars based in United States, Brazil and Portugal. André Gonçalves's co-authors include João Paulo Teixeira, Priyadip Ray, Braden Soper, Ana Paula Sales, Linda Coyle, Jennifer L. Stevens, André R. Fioravanti, José C. Geromel, Arindam Banerjee and Fernando J. Von Zuben and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Automatic Control.

In The Last Decade

André Gonçalves

31 papers receiving 700 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
André Gonçalves United States 11 353 108 103 76 63 32 724
E. A. Gopalakrishnan India 16 225 0.6× 33 0.3× 124 1.2× 100 1.3× 91 1.4× 45 1.3k
Jayanta Kumar Das India 17 383 1.1× 52 0.5× 31 0.3× 34 0.4× 79 1.3× 65 1.1k
Elena Hernández-Pereira Spain 13 242 0.7× 28 0.3× 78 0.8× 93 1.2× 96 1.5× 31 802
Ian Nabney United Kingdom 7 285 0.8× 88 0.8× 97 0.9× 17 0.2× 39 0.6× 20 860
Stephan K. Chalup Australia 17 365 1.0× 67 0.6× 66 0.6× 29 0.4× 21 0.3× 120 976
Sunil Aryal Australia 19 481 1.4× 69 0.6× 79 0.8× 13 0.2× 43 0.7× 66 1.1k
Joaquim P. Marques de Sá Portugal 8 138 0.4× 49 0.5× 37 0.4× 44 0.6× 18 0.3× 15 712
Mohammad Subhi Al-Batah Jordan 20 269 0.8× 24 0.2× 28 0.3× 31 0.4× 70 1.1× 65 1.0k
Akın Özçift Türkiye 12 368 1.0× 17 0.2× 63 0.6× 73 1.0× 36 0.6× 22 762
Alejandro Rosales-Pérez Mexico 14 339 1.0× 18 0.2× 66 0.6× 14 0.2× 28 0.4× 41 639

Countries citing papers authored by André Gonçalves

Since Specialization
Citations

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

Fields of papers citing papers by André Gonçalves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of André Gonçalves

This figure shows the co-authorship network connecting the top 25 collaborators of André Gonçalves. A scholar is included among the top collaborators of André Gonçalves 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 Gonçalves. André Gonçalves 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.
Lobato, Ronaldo V., et al.. (2023). Bayesian Exploration of Phenomenological EoS of Neutron/Hybrid Stars with Recent Observations. SHILAP Revista de lepidopterología. 6(1). 198–216. 6 indexed citations
2.
Silva, Felipe Leno da, André Gonçalves, Ruben Glatt, et al.. (2023). Language model-accelerated deep symbolic optimization. Neural Computing and Applications. 37(31). 25601–25617. 1 indexed citations
3.
Gonçalves, André, et al.. (2022). Asymmetric Multi-Task Learning with Local Transference. ACM Transactions on Knowledge Discovery from Data. 16(5). 1–30. 3 indexed citations
4.
Pan, Baoxiang, Gemma J. Anderson, André Gonçalves, et al.. (2022). Improving Seasonal Forecast Using Probabilistic Deep Learning. Journal of Advances in Modeling Earth Systems. 14(3). 31 indexed citations
5.
Pan, Baoxiang, Gemma J. Anderson, André Gonçalves, et al.. (2021). Learning to Correct Climate Projection Biases. Journal of Advances in Modeling Earth Systems. 13(10). 41 indexed citations
6.
Gonçalves, André, Braden Soper, Mari Nygård, et al.. (2020). Improving five-year survival prediction via multitask learning across HPV-related cancers. PLoS ONE. 15(11). e0241225–e0241225. 2 indexed citations
7.
Gonçalves, André, Priyadip Ray, Braden Soper, et al.. (2020). Generation and evaluation of synthetic patient data. BMC Medical Research Methodology. 20(1). 108–108. 223 indexed citations
8.
Gonçalves, André, Priyadip Ray, Braden Soper, et al.. (2019). Bayesian multitask learning regression for heterogeneous patient cohorts. Journal of Biomedical Informatics. 100. 100059–100059. 6 indexed citations
9.
Liu, Xiaoli, Peng Cao, André Gonçalves, Dazhe Zhao, & Arindam Banerjee. (2018). Modeling Alzheimer’s Disease Progression with Fused Laplacian Sparse Group Lasso. ACM Transactions on Knowledge Discovery from Data. 12(6). 1–35. 19 indexed citations
10.
Liu, Xiaoli, André Gonçalves, Peng Cao, Dazhe Zhao, & Arindam Banerjee. (2017). Modeling Alzheimer's disease cognitive scores using multi-task sparse group lasso. Computerized Medical Imaging and Graphics. 66. 100–114. 29 indexed citations
11.
Gonçalves, André, et al.. (2017). On the Generalization of Fused Systems in Voice Presentation Attack Detection. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1–5. 9 indexed citations
12.
Gonçalves, André, Arindam Banerjee, & Fernando J. Von Zuben. (2017). Spatial Projection of Multiple Climate Variables Using Hierarchical Multitask Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 31(1). 8 indexed citations
13.
Gonçalves, André, Fernando J. Von Zuben, & Arindam Banerjee. (2016). Multi-task sparse structure learning with Gaussian copula models. Journal of Machine Learning Research. 17(1). 1205–1234. 33 indexed citations
14.
Gonçalves, André, Fernando J. Von Zuben, & Arindam Banerjee. (2015). Multi-label structure learning with ising model selection. International Conference on Artificial Intelligence. 3525–3531. 4 indexed citations
15.
Teixeira, João Paulo & André Gonçalves. (2014). Accuracy of Jitter and Shimmer Measurements. Procedia Technology. 16. 1190–1199. 40 indexed citations
16.
Vecchio, Fabrício Boscolo Del & André Gonçalves. (2011). Dermatoglifos como indicadores biológicos del rendimiento deportivo. Revista Portuguesa de Pneumologia. 4(1). 38–46. 3 indexed citations
17.
Gonçalves, André. (2011). Towards a Voltage-Controlled Computer Control and Interaction Beyond an Embedded System. New Interfaces for Musical Expression. 92–95. 1 indexed citations
18.
Vecchio, Fabrício Boscolo Del & André Gonçalves. (2011). Dermatoglyphics As Biological Markers Of Sports Performance [dermatoglifos Como Indicadores Biológicos Del Rendimiento Deportivo]. Scopus. 1 indexed citations
19.
Gonçalves, André & Fernando J. Von Zuben. (2011). Online learning in estimation of distribution algorithms for dynamic environments. 62–69. 6 indexed citations
20.
Gonçalves, André, André R. Fioravanti, & José C. Geromel. (2009). ${\cal H}_{\infty}$ Filtering of Discrete-Time Markov Jump Linear Systems Through Linear Matrix Inequalities. IEEE Transactions on Automatic Control. 54(6). 1347–1351. 105 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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