César Teixeira

3.2k total citations
125 papers, 2.2k citations indexed

About

César Teixeira is a scholar working on Cognitive Neuroscience, Signal Processing and Biomedical Engineering. According to data from OpenAlex, César Teixeira has authored 125 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Cognitive Neuroscience, 31 papers in Signal Processing and 27 papers in Biomedical Engineering. Recurrent topics in César Teixeira's work include EEG and Brain-Computer Interfaces (63 papers), Blind Source Separation Techniques (26 papers) and Epilepsy research and treatment (24 papers). César Teixeira is often cited by papers focused on EEG and Brain-Computer Interfaces (63 papers), Blind Source Separation Techniques (26 papers) and Epilepsy research and treatment (24 papers). César Teixeira collaborates with scholars based in Portugal, Brazil and Germany. César Teixeira's co-authors include António Dourado, Mojtaba Bandarabadi, Jalil Rasekhi, Francisco Sales, Bruno Direito, Andreas Schulze‐Bonhage, Hinnerk Feldwisch‐Drentrup, Jens Timmer, Fábio Lopes and Matthias Ihle and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

César Teixeira

118 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
César Teixeira Portugal 24 1.5k 562 524 312 299 125 2.2k
Nadia Mammone Italy 28 1.8k 1.2× 573 1.0× 248 0.5× 443 1.4× 343 1.1× 86 2.6k
N. Sriraam India 23 1.7k 1.1× 1.0k 1.9× 218 0.4× 541 1.7× 423 1.4× 139 2.6k
Malek Adjouadi United States 31 1.2k 0.8× 365 0.6× 621 1.2× 165 0.5× 399 1.3× 263 3.0k
Amir Adeli United States 14 1.7k 1.2× 424 0.8× 197 0.4× 468 1.5× 162 0.5× 24 2.2k
Gaoxiang Ouyang China 29 1.4k 1.0× 356 0.6× 159 0.3× 177 0.6× 204 0.7× 81 2.3k
Boreom Lee South Korea 29 1.2k 0.8× 257 0.5× 295 0.6× 460 1.5× 394 1.3× 89 2.7k
Weidong Zhou China 30 2.3k 1.6× 1.3k 2.3× 364 0.7× 546 1.8× 388 1.3× 114 3.0k
Pieter Kubben Netherlands 23 785 0.5× 260 0.5× 221 0.4× 154 0.5× 156 0.5× 81 2.1k
Fengyu Cong China 27 1.7k 1.1× 606 1.1× 93 0.2× 244 0.8× 236 0.8× 208 2.8k
Rajamanickam Yuvaraj Singapore 21 1.3k 0.9× 308 0.5× 123 0.2× 312 1.0× 177 0.6× 48 1.8k

Countries citing papers authored by César Teixeira

Since Specialization
Citations

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

Fields of papers citing papers by César Teixeira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of César Teixeira

This figure shows the co-authorship network connecting the top 25 collaborators of César Teixeira. A scholar is included among the top collaborators of César Teixeira 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 César Teixeira. César Teixeira 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.
Goševa-Popstojanova, Katerina, et al.. (2025). GPTs are not the silver bullet: Performance and challenges of using GPTs for security bug report identification. Information and Software Technology. 185. 107778–107778. 1 indexed citations
2.
Teixeira, César, et al.. (2024). Comparison between epileptic seizure prediction and forecasting based on machine learning. Scientific Reports. 14(1). 5653–5653. 9 indexed citations
3.
Teixeira, César, et al.. (2024). On the performance of seizure prediction machine learning methods across different databases: the sample and alarm-based perspectives. Frontiers in Neuroscience. 18. 1417748–1417748. 1 indexed citations
4.
Fernandes, Felipe, Antônio Higor Freire de Morais, J. Henriques, et al.. (2023). Digital Alternative Communication for Individuals with Amyotrophic Lateral Sclerosis: What We Have. Journal of Clinical Medicine. 12(16). 5235–5235. 5 indexed citations
5.
Albuquerque, Gabriela, Felipe Fernandes, Daniele M. S. Barros, et al.. (2023). Computational methods applied to syphilis: where are we, and where are we going?. Frontiers in Public Health. 11. 1201725–1201725. 5 indexed citations
6.
Teixeira, César, et al.. (2023). An Empirical Analysis of Rebalancing Methods for Security Issue Report Identification. 97. 1–12. 1 indexed citations
7.
Miranda, Angélica Espinosa, et al.. (2022). Similarity Analysis in Understanding Online News in Response to Public Health Crisis. International Journal of Environmental Research and Public Health. 19(24). 17049–17049. 2 indexed citations
8.
Pinto, Mauro F., Tiago Coelho, Fábio Lopes, et al.. (2022). Interpretable EEG seizure prediction using a multiobjective evolutionary algorithm. Scientific Reports. 12(1). 4420–4420. 23 indexed citations
9.
Fernandes, Felipe, Daniele M. S. Barros, Ricardo Alexsandro de Medeiros Valentim, et al.. (2021). Biomedical signals and machine learning in amyotrophic lateral sclerosis: a systematic review. BioMedical Engineering OnLine. 20(1). 61–61. 30 indexed citations
10.
Pinto, Mauro F., Fábio Lopes, Anna Maria Bianchi, et al.. (2021). Heart rate variability analysis for the identification of the preictal interval in patients with drug-resistant epilepsy. Scientific Reports. 11(1). 5987–5987. 21 indexed citations
11.
Pinto, Mauro F., et al.. (2021). A personalized and evolutionary algorithm for interpretable EEG epilepsy seizure prediction. Scientific Reports. 11(1). 3415–3415. 43 indexed citations
12.
Pisano, F., G. Sias, Alessandra Fanni, et al.. (2020). Convolutional Neural Network for Seizure Detection of Nocturnal Frontal Lobe Epilepsy. Complexity. 2020. 1–10. 25 indexed citations
13.
Bandarabadi, Mojtaba, César Teixeira, Jalil Rasekhi, & António Dourado. (2014). Epileptic seizure prediction using relative spectral power features. Clinical Neurophysiology. 126(2). 237–248. 213 indexed citations
14.
Teixeira, César, Bruno Direito, Mojtaba Bandarabadi, et al.. (2014). Epileptic seizure predictors based on computational intelligence techniques: A comparative study with 278 patients. Computer Methods and Programs in Biomedicine. 114(3). 324–336. 105 indexed citations
15.
Feldwisch‐Drentrup, Hinnerk, Matthias Ihle, Vincent Navarro, et al.. (2012). The EPILEPSIAE database: An extensive electroencephalography database of epilepsy patients. Epilepsia. 53(9). 1669–1676. 120 indexed citations
16.
Direito, Bruno, César Teixeira, Bernardete Ribeiro, Miguel Castelo‐Branco, & António Dourado. (2012). Space time frequency (STF) code tensor for the characterization of the epileptic preictal stage. PubMed. 2012. 621–624. 2 indexed citations
17.
Ihle, Matthias, Hinnerk Feldwisch‐Drentrup, César Teixeira, et al.. (2010). EPILEPSIAE – A European epilepsy database. Computer Methods and Programs in Biomedicine. 106(3). 127–138. 167 indexed citations
18.
Alvarenga, André Victor, César Teixeira, M.G. Ruano, & Wagner Coelho de Albuquerque Pereira. (2009). Influence of temperature variations on the entropy and correlation of the Grey-Level Co-occurrence Matrix from B-Mode images. Ultrasonics. 50(2). 290–293. 23 indexed citations
19.
Teixeira, César, et al.. (2004). Temperature models of a homogeneous medium under therapeutic ultrasound. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 2 indexed citations
20.

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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