Ângelo Duarte

441 total citations
32 papers, 253 citations indexed

About

Ângelo Duarte is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ângelo Duarte has authored 32 papers receiving a total of 253 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 8 papers in Computer Networks and Communications and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ângelo Duarte's work include AI in cancer detection (10 papers), Distributed systems and fault tolerance (7 papers) and Digital Imaging for Blood Diseases (5 papers). Ângelo Duarte is often cited by papers focused on AI in cancer detection (10 papers), Distributed systems and fault tolerance (7 papers) and Digital Imaging for Blood Diseases (5 papers). Ângelo Duarte collaborates with scholars based in Brazil, Spain and Portugal. Ângelo Duarte's co-authors include Washington L. C. dos‐Santos, Manoel Barral‐Netto, Bruno B. Andrade, Aristóteles Goés‐Neto, Aldina Barral, Kiyoshi F. Fukutani, Erney P. Camargo, Luciano Oliveira, Dolores Rexachs and Alex Gutterres Taranto and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Ângelo Duarte

26 papers receiving 244 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ângelo Duarte Brazil 8 79 67 53 47 28 32 253
Manh-Duy Nguyen Vietnam 10 93 1.2× 63 0.9× 133 2.5× 94 2.0× 35 1.3× 14 366
Kinya Uchihashi Japan 10 74 0.9× 41 0.6× 65 1.2× 36 0.8× 31 1.1× 16 261
Balal Sadeghı Iran 12 44 0.6× 44 0.7× 13 0.2× 268 5.7× 17 0.6× 28 448
Gabriel W. Rangel United States 10 168 2.1× 11 0.2× 17 0.3× 58 1.2× 30 1.1× 16 277
Zuofeng Li China 10 78 1.0× 95 1.4× 7 0.1× 165 3.5× 11 0.4× 21 393
Chaoyi Wu China 9 29 0.4× 200 3.0× 65 1.2× 83 1.8× 9 0.3× 21 426
Sultan Alasmari Saudi Arabia 11 26 0.3× 10 0.1× 7 0.1× 126 2.7× 6 0.2× 41 371
Yuhang Dong United States 7 40 0.5× 70 1.0× 201 3.8× 18 0.4× 3 0.1× 12 261
Tareq B. Malas Netherlands 13 7 0.1× 47 0.7× 23 0.4× 179 3.8× 20 0.7× 18 488
G.R. Kulkarni India 10 8 0.1× 19 0.3× 13 0.2× 125 2.7× 9 0.3× 35 302

Countries citing papers authored by Ângelo Duarte

Since Specialization
Citations

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

Fields of papers citing papers by Ângelo Duarte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ângelo Duarte

This figure shows the co-authorship network connecting the top 25 collaborators of Ângelo Duarte. A scholar is included among the top collaborators of Ângelo Duarte 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 Ângelo Duarte. Ângelo Duarte 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.
Araújo, Stanley de Almeida, et al.. (2024). Enhancing Podocyte Degenerative Changes Identification With Pathologist Collaboration: Implications for Improved Diagnosis in Kidney Diseases. IEEE Journal of Translational Engineering in Health and Medicine. 12. 635–642.
2.
Calumby, Rodrigo Tripodi, Ângelo Duarte, Emanuele Santos, et al.. (2023). Toward Real-World Computational Nephropathology. Clinical Journal of the American Society of Nephrology. 18(6). 809–812. 2 indexed citations
3.
Calumby, Rodrigo Tripodi, et al.. (2022). Boundary-aware glomerulus segmentation: Toward one-to-many stain generalization. Computerized Medical Imaging and Graphics. 100. 102104–102104. 16 indexed citations
4.
Veras, Rodrigo, et al.. (2021). A hybrid of deep and textural features to differentiate glomerulosclerosis and minimal change disease from glomerulus biopsy images. Biomedical Signal Processing and Control. 70. 103020–103020. 3 indexed citations
5.
Duarte, Ângelo, et al.. (2018). Pharmacophore modeling, docking and molecular dynamics to identify Leishmania major farnesyl pyrophosphate synthase inhibitors. Journal of Molecular Modeling. 24(11). 314–314. 5 indexed citations
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Schnitman, Leizer, et al.. (2018). Automated Detection of Segmental Glomerulosclerosis in Kidney Histopathology. 1–12. 5 indexed citations
8.
Goés‐Neto, Aristóteles, et al.. (2018). Comparison of complex networks and tree-based methods of phylogenetic analysis and proposal of a bootstrap method. PeerJ. 6. e4349–e4349. 5 indexed citations
9.
Vaz, Aline B.M., Paula Luize Camargos Fonseca, Fernanda Badotti, et al.. (2017). USING Next-Generation Sequencing (NGS) TO UNCOVER DIVERSITY OF WOOD-DECAYING FUNGI IN NEOTROPICAL ATLANTIC FORESTS. Phytotaxa. 295(1). 19 indexed citations
10.
Duarte, Ângelo, et al.. (2017). PathoSpotter-K: A computational tool for the automatic identification of glomerular lesions in histological images of kidneys. Scientific Reports. 7(1). 46769–46769. 37 indexed citations
11.
Duarte, Ângelo, Artur T. L. Queiroz, Augusto M. Carvalho, et al.. (2015). Prediction of CD8+ Epitopes in Leishmania braziliensis Proteins Using EPIBOT: In Silico Search and In Vivo Validation. PLoS ONE. 10(4). e0124786–e0124786. 15 indexed citations
12.
Assis, Sandra Aparecida de, Aristóteles Goés‐Neto, Ângelo Duarte, et al.. (2013). Structure-based drug design studies of UDP-N-acetylglucosamine pyrophosphosrylase, a key enzyme for the control of witches’ broom disease. Chemistry Central Journal. 7(1). 48–48. 6 indexed citations
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15.
Rexachs, Dolores, et al.. (2009). Outcomes of the fault tolerance configuration. 1 indexed citations
16.
Andrade, Bruno Silva, Alex Gutterres Taranto, Aristóteles Goés‐Neto, & Ângelo Duarte. (2009). Comparative modeling of DNA and RNA polymerases from Moniliophthora perniciosa mitochondrial plasmid. Theoretical Biology and Medical Modelling. 6(1). 22–22. 11 indexed citations
17.
Duarte, Ângelo, et al.. (2008). Increasing the Performability of Computer Clusters Using RADIC II. 29. 653–658. 2 indexed citations
18.
Duarte, Ângelo. (2007). RADIC: a powerful fault-tolerant architecture. Dipòsit Digital de Documents de la UAB (Universitat Autònoma de Barcelona).
19.
Duarte, Ângelo, Dolores Rexachs, & Emilio Luque. (2006). Increasing the cluster availability using RADIC. 1–8. 7 indexed citations
20.
Duarte, Ângelo, Dolores Rexachs, & Emilio Luque. (2005). A Distributed Scheme for Fault-Tolerance in Large Clusters of Workstations. 473–480. 3 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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