Daniel Simões Lopes

1.4k total citations
71 papers, 940 citations indexed

About

Daniel Simões Lopes is a scholar working on Computer Vision and Pattern Recognition, Surgery and Human-Computer Interaction. According to data from OpenAlex, Daniel Simões Lopes has authored 71 papers receiving a total of 940 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 20 papers in Surgery and 15 papers in Human-Computer Interaction. Recurrent topics in Daniel Simões Lopes's work include Augmented Reality Applications (18 papers), Surgical Simulation and Training (12 papers) and Virtual Reality Applications and Impacts (11 papers). Daniel Simões Lopes is often cited by papers focused on Augmented Reality Applications (18 papers), Surgical Simulation and Training (12 papers) and Virtual Reality Applications and Impacts (11 papers). Daniel Simões Lopes collaborates with scholars based in Portugal, Brazil and United States. Daniel Simões Lopes's co-authors include Joaquim Jorge, Miguel Silva, Jorge Ambrósio, Paulo Flores, Carlo Massaroni, Daniela Lo Presti, Sergio Silvestri, Emiliano Schena, Maurício Sousa and Daniel Medeiros and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Food Chemistry.

In The Last Decade

Daniel Simões Lopes

59 papers receiving 919 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Simões Lopes Portugal 18 226 214 211 174 99 71 940
Min Hong South Korea 15 214 0.9× 158 0.7× 69 0.3× 69 0.4× 53 0.5× 107 1.0k
Uwe Kühnapfel Germany 13 171 0.8× 175 0.8× 202 1.0× 55 0.3× 145 1.5× 49 675
Jing Guo China 17 265 1.2× 304 1.4× 78 0.4× 59 0.3× 155 1.6× 141 1.2k
Hui Liang China 17 681 3.0× 122 0.6× 37 0.2× 586 3.4× 330 3.3× 55 1.1k
Yu Sun United States 23 323 1.4× 352 1.6× 73 0.3× 119 0.7× 510 5.2× 80 1.4k
Andrea Vitali Italy 13 153 0.7× 159 0.7× 47 0.2× 69 0.4× 27 0.3× 98 598
Qixin Cao China 19 380 1.7× 474 2.2× 76 0.4× 70 0.4× 444 4.5× 160 1.2k
Miao Yu China 17 608 2.7× 393 1.8× 68 0.3× 34 0.2× 57 0.6× 107 1.4k
Dongquan Liu China 15 242 1.1× 93 0.4× 16 0.1× 49 0.3× 29 0.3× 39 714
Daisuke Deguchi Japan 16 693 3.1× 160 0.7× 112 0.5× 66 0.4× 19 0.2× 157 1.1k

Countries citing papers authored by Daniel Simões Lopes

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Simões Lopes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Simões Lopes

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Simões Lopes. A scholar is included among the top collaborators of Daniel Simões Lopes 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 Simões Lopes. Daniel Simões Lopes 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
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Lopes, Daniel Simões, Agustina E. Nardo, Lucilene Delazari dos Santos, et al.. (2025). Antioxidant bioactivity of sunflower protein hydrolysates in Caco-2 cells and in silico structural properties. Food Chemistry. 487. 144733–144733.
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Pinto, David, et al.. (2024). BREAST+: An augmented reality interface that speeds up perforator marking for DIEAP flap reconstruction surgery. Healthcare Technology Letters. 11(6). 301–306.
6.
Zorzal, Ezequiel Roberto, João Botelho, Vanessa Machado, et al.. (2023). Preclinical dental students self-assessment of an improved operative dentistry virtual reality simulator with haptic feedback. Scientific Reports. 13(1). 2823–2823. 19 indexed citations
7.
Botelho, João, Vanessa Machado, Carlos Zagalo, et al.. (2022). Usability, acceptance, and educational usefulness study of a new haptic operative dentistry virtual reality simulator. Computer Methods and Programs in Biomedicine. 221. 106831–106831. 16 indexed citations
8.
Fernandes, Francisco, Sérgio Gonçalves, Miguel Silva, et al.. (2022). Sticks and STONES may build my bones: Deep learning reconstruction of limb rotations in stick figures. Pattern Recognition Letters. 165. 138–145. 2 indexed citations
9.
Correia, Luís Cláudio Lemos, et al.. (2021). Validação de um Algoritmo de Inteligência Artificial para a Predição Diagnóstica de Doença Coronariana: Comparação com um Modelo Estatístico Tradicional. Arquivos Brasileiros de Cardiologia. 117(6). 1061–1070. 2 indexed citations
10.
Gouveia, Pedro, Joana Costa, Ronald Kates, et al.. (2021). Breast cancer surgery with augmented reality. The Breast. 56. 14–17. 47 indexed citations
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Lopes, Daniel Simões, et al.. (2020). Winning compensations: Adaptable gaming approach for upper limb rehabilitation sessions based on compensatory movements. Journal of Biomedical Informatics. 108. 103501–103501. 10 indexed citations
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Leite, Francisca, et al.. (2020). PIÑATA: Pinpoint insertion of intravenous needles via augmented reality training assistance. Computerized Medical Imaging and Graphics. 82. 101731–101731. 16 indexed citations
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Nicolau, Hugo, Vanessa Machado, João Botelho, et al.. (2019). Touchless interaction with medical images based on 3D hand cursors supported by single-foot input: A case study in dentistry. Journal of Biomedical Informatics. 100. 103316–103316. 9 indexed citations
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Massaroni, Carlo, Daniel Simões Lopes, Daniela Lo Presti, Emiliano Schena, & Sergio Silvestri. (2018). Contactless Monitoring of Breathing Patterns and Respiratory Rate at the Pit of the Neck: A Single Camera Approach. Journal of Sensors. 2018. 1–13. 84 indexed citations
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Lopes, Daniel Simões, Richard R. Neptune, Jorge Ambrósio, & Miguel Silva. (2015). A superellipsoid-plane model for simulating foot-ground contact during human gait. Computer Methods in Biomechanics & Biomedical Engineering. 19(9). 954–963. 30 indexed citations
16.
Coli, Niccolò, et al.. (2012). Modeling of Complex Geological Rock Mixtures Under Triaxial Testing Conditions. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 13 indexed citations
17.
Simões, Fernando M. F., et al.. (2012). Finite element simulations of a hip joint with femoroacetabular impingement. Computer Methods in Biomechanics & Biomedical Engineering. 17(11). 1275–1284. 40 indexed citations
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Lopes, Daniel Simões, Miguel Silva, Jorge Ambrósio, & Paulo Flores. (2010). A mathematical framework for rigid contact detection between quadric and superquadric surfaces. Multibody System Dynamics. 24(3). 255–280. 76 indexed citations
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Areias, P., et al.. (2010). Finite element studies of the mechanical behaviour of the diaphragm in normal and pathological cases. Computer Methods in Biomechanics & Biomedical Engineering. 14(6). 505–513. 17 indexed citations
20.
Oliveira, Rodrigo Cardoso de, Rachel Oliveira Castilho, Ana Paula Valente, et al.. (2003). High‐speed countercurrent chromatography as a valuable tool to isolate C ‐glycosylflavones from Cecropia lyratiloba Miquel.. Phytochemical Analysis. 14(2). 96–99. 22 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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