André Gonçalves

32 papers receiving 786 citations

André Gonçalves's Hit Papers

Generation and evaluation of synthetic patient data 2020 · 243 citations
2430+2+4Years since publication50100150200

Peers

André Gonçalves
Comparison fields: 5 of 129
  • Computational Mathematics 13
  • Health Informatics 24
  • Signal Processing 129
  • Artificial Intelligence 373
  • Health Information Management 39
Replace Patrick Gallinari with:
Patrick Gallinari France
Thabo Semong Botswana
Saad Al-Ahmadi Saudi Arabia
Alejandro Rosales-Pérez Mexico
Joseph D. Skufca United States
Akın Özçift Türkiye
Jae Young Choi South Korea
Ananda S. Chowdhury India
Arnab Kumar Maji India
Haya Alaskar Saudi Arabia
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Citations per year

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-authors

The 25 scholars most cited alongside André Gonçalves, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with André Gonçalves Line = papers co-authored together André Gonçalves links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Generation and evaluation of synthetic patient data
Hit paper breakdown →
2020243
2 2009109
3 201660
4 201659
5 201449
6 202144
7 201636
8 201733
9 202232
10 201820
11 201219
12 201814
13 201712
14 20178
15
Multi-label structure learning with ising model selection
20157
16 20197
17 20237
18 20197
19 20116
20 20055

About André Gonçalves

André Gonçalves is a scholar working on Artificial Intelligence, Global and Planetary Change, Signal Processing, Atmospheric Science and Control and Systems Engineering, having authored 34 papers that have together received 806 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (5 papers), Meteorological Phenomena and Simulations (5 papers), Climate variability and models (5 papers), Speech and Audio Processing (5 papers), Metaheuristic Optimization Algorithms Research (4 papers), Speech Recognition and Synthesis (4 papers), Statistical Methods and Inference (3 papers) and Voice and Speech Disorders (3 papers). The work is most often cited by research in Computational Mathematics (13 citations), Health Informatics (24 citations), Signal Processing (129 citations), Artificial Intelligence (373 citations) and Health Information Management (39 citations). André Gonçalves has collaborated with scholars based in Brazil, United States and Switzerland. Frequent co-authors include João Paulo Teixeira, Braden Soper, Ana Paula Sales, Priyadip Ray, Jennifer L. Stevens, Linda Coyle, José C. Geromel, André R. Fioravanti, Arindam Banerjee and Fernando J. Von Zuben. Their work appears in journals such as Journal of Advances in Modeling Earth Systems, ACM Transactions on Knowledge Discovery from Data, Computerized Medical Imaging and Graphics, Journal of Biomedical Informatics and IEEE Transactions on Automatic Control.

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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