Daniel Leite

2.4k total citations
82 papers, 1.6k citations indexed

About

Daniel Leite is a scholar working on Artificial Intelligence, Control and Systems Engineering and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Daniel Leite has authored 82 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Artificial Intelligence, 15 papers in Control and Systems Engineering and 14 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Daniel Leite's work include Fuzzy Logic and Control Systems (23 papers), Neural Networks and Applications (17 papers) and Data Stream Mining Techniques (9 papers). Daniel Leite is often cited by papers focused on Fuzzy Logic and Control Systems (23 papers), Neural Networks and Applications (17 papers) and Data Stream Mining Techniques (9 papers). Daniel Leite collaborates with scholars based in Brazil, Portugal and Slovenia. Daniel Leite's co-authors include Fernando Gomide, Pyramo Costa, Igor Škrjanc, Edwin Lughofer, Araceli Sanchis, José Antonio Iglesias, Nuno Bettencourt, Rosângela Ballini, Vasco Gama and João Rocha and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and Sensors.

In The Last Decade

Daniel Leite

75 papers receiving 1.5k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Daniel Leite 711 366 293 217 154 82 1.6k
Yasir Saleem 523 0.7× 298 0.8× 101 0.3× 821 3.8× 88 0.6× 82 2.0k
Harun Uğuz 824 1.2× 133 0.4× 96 0.3× 155 0.7× 79 0.5× 37 1.5k
Noorbakhsh Amiri Golilarz 517 0.7× 151 0.4× 53 0.2× 132 0.6× 90 0.6× 41 1.4k
Bayu Adhi Tama 1.1k 1.5× 235 0.6× 31 0.1× 151 0.7× 82 0.5× 72 2.0k
Aleksandar Lazarević 1.4k 2.0× 161 0.4× 119 0.4× 61 0.3× 20 0.1× 58 2.0k
Kokichi Tanaka 866 1.2× 155 0.4× 75 0.3× 54 0.2× 71 0.5× 34 1.4k
Gianni D’Angelo 529 0.7× 112 0.3× 40 0.1× 157 0.7× 43 0.3× 48 1.2k
Jihua Zhu 559 0.8× 145 0.4× 31 0.1× 69 0.3× 53 0.3× 155 1.9k
S. Sitharama Iyengar 452 0.6× 225 0.6× 50 0.2× 593 2.7× 32 0.2× 123 2.4k
Derya Avcı 500 0.7× 49 0.1× 69 0.2× 104 0.5× 97 0.6× 47 1.3k

Countries citing papers authored by Daniel Leite

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Leite

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Leite

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Leite. A scholar is included among the top collaborators of Daniel Leite 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 Daniel Leite. Daniel Leite 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.
Andonovski, Goran, et al.. (2025). Advancements in data-driven evolving fuzzy and neuro-fuzzy control: A comprehensive survey. Applied Soft Computing. 186. 114058–114058.
2.
3.
Leite, Daniel, et al.. (2023). Interval incremental learning of interval data streams and application to vehicle tracking. Information Sciences. 630. 1–22. 12 indexed citations
4.
Casalino, Gabriella, Giovanna Castellano, Olgierd Hryniewicz, et al.. (2023). Semi-supervised vs. supervised learning for mental health monitoring: A case study on bipolar disorder. International Journal of Applied Mathematics and Computer Science. 33(3). 2 indexed citations
5.
Andrade, Ednilton Tavares de, et al.. (2020). SISTEMA DE CONFINAMENTO COMPOST BARN: INTERAÇÕES ENTRE ÍNDICES DE CONFORTO, CARACTERÍSTICAS FISIOLÓGICAS, ESCORE DE HIGIENE E CLAUDICAÇÃO. Arquivos de Ciências Veterinárias e Zoologia da UNIPAR. 23(1cont).
6.
Andrade, Ednilton Tavares de, et al.. (2020). Use of compost bedded pack barn in maize fertilization for silage. Revista em Agronegócio e Meio Ambiente. 13(4). 1571–1588. 1 indexed citations
7.
Angelov, Plamen, Dimitar Filev, Nikola Kasabov, et al.. (2019). IEEE EAIS 2020. IEEE Computational Intelligence Magazine. 14(4). 91–91. 1 indexed citations
8.
Andrade, Ednilton Tavares de, et al.. (2019). BED TEMPERATURE IN COMPOST BARNS TURNED WITH ROTARY HOE AND OFFSET DISC HARROW. Engenharia Agrícola. 39(3). 280–287. 6 indexed citations
9.
Andrade, Ednilton Tavares de, et al.. (2019). Utilization of bedded cattle confinement for organic manure of maize crop. Revista Brasileira de Engenharia Agrícola e Ambiental. 23(8). 620–624. 7 indexed citations
10.
Leite, Daniel, Reinaldo M. Palhares, Víctor Costa da Silva Campos, & Fernando Gomide. (2014). Evolving Granular Fuzzy Model-Based Control of Nonlinear Dynamic Systems. IEEE Transactions on Fuzzy Systems. 23(4). 923–938. 76 indexed citations
11.
Bettencourt, Nuno, Nuno Ferreira, Daniel Leite, et al.. (2013). CAD Detection in Patients With Intermediate-High Pre-Test Probability. JACC. Cardiovascular imaging. 6(10). 1062–1071. 47 indexed citations
12.
Ferreira, Nuno, et al.. (2013). Utilidade da tomografia computorizada cardíaca no planeamento e avaliação do resultado da ablação septal por álcool. Revista Portuguesa de Cardiologia. 32(2). 169–171. 1 indexed citations
13.
Ferreira, Nuno, Nuno Bettencourt, João Rocha, et al.. (2012). Diagnosis of Acute Myopericarditis by Delayed-Enhancement Multidetector Computed Tomography. Journal of the American College of Cardiology. 60(9). 868–868. 3 indexed citations
14.
Leite, Daniel, Pyramo Costa, & Fernando Gomide. (2012). Evolving granular neural networks from fuzzy data streams. Neural Networks. 38. 1–16. 88 indexed citations
15.
Bettencourt, Nuno, João Rocha, Nuno Ferreira, et al.. (2011). Incremental value of an integrated adenosine stress-rest MDCT perfusion protocol for detection of obstructive coronary artery disease. Journal of cardiovascular computed tomography. 5(6). 392–405. 25 indexed citations
16.
Bettencourt, Nuno, André Michael Toschke, Daniel Leite, et al.. (2011). Epicardial adipose tissue is an independent predictor of coronary atherosclerotic burden. International Journal of Cardiology. 158(1). 26–32. 146 indexed citations
17.
Bettencourt, Nuno, André Michael Toschke, João Rocha, et al.. (2011). Predictors of circulating endothelial progenitor cell levels in patients without known coronary artery disease referred for multidetector computed tomography coronary angiography. Revista Portuguesa de Cardiologia. 30(10). 753–760. 7 indexed citations
18.
Bettencourt, Nuno, Nuno Ferreira, Daniel Caeiro, et al.. (2011). Tomografia computorizada multicorte na avaliação de candidatos a implantação de prótese aórtica percutânea. Revista Portuguesa de Cardiologia. 30(9). 717–726. 1 indexed citations
19.
Vouga, Luís, Alan Markowitz, Hiram G. Bezerra, et al.. (2011). Vascular access in transcatheter aortic valve implantation. International journal of cardiac imaging. 27(8). 1235–1243. 11 indexed citations
20.
Bettencourt, Nuno, João Rocha, Mónica Carvalho, et al.. (2009). Multislice Computed Tomography in the Exclusion of Coronary Artery Disease in Patients With Presurgical Valve Disease. Circulation Cardiovascular Imaging. 2(4). 306–313. 50 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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