Dulce Oliveira

554 total citations
34 papers, 381 citations indexed

About

Dulce Oliveira is a scholar working on Surgery, Rheumatology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Dulce Oliveira has authored 34 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Surgery, 18 papers in Rheumatology and 10 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Dulce Oliveira's work include Pelvic floor disorders treatments (18 papers), Pelvic and Acetabular Injuries (17 papers) and Pregnancy-related medical research (10 papers). Dulce Oliveira is often cited by papers focused on Pelvic floor disorders treatments (18 papers), Pelvic and Acetabular Injuries (17 papers) and Pregnancy-related medical research (10 papers). Dulce Oliveira collaborates with scholars based in Portugal, Switzerland and Poland. Dulce Oliveira's co-authors include Renato Natal Jorge, Marco Parente, Teresa Mascarenhas, Begoña Calvo, João Ferreira, Urbano Nunes, Teresa Sousa, Sofia Brandão, Sirvan Khalighi and Thuane Da Roza and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Journal of Biomechanics.

In The Last Decade

Dulce Oliveira

28 papers receiving 379 citations

Peers

Dulce Oliveira

SURGE

RHEUM

PHEOH

Tommaso Gargano Italy

Luc Joyeux Belgium

Mohamed Jallouli Tunisia

Lynette B. MacKay United States

Soon Bin Kwon South Korea

Susana Moreira Portugal

Jimmy Wong Hong Kong

Xinrong Wang China

Masaru Ogawa Japan

E Castelli Italy

Tommaso Gargano Italy

Dulce Oliveira

261 ×1.3

SURGE

73 ×0.4

RHEUM

58 ×0.6

PHEOH

65 ×1.3

8 ×0.2

Citations per year, relative to Dulce Oliveira Dulce Oliveira (= 1×) peers Tommaso Gargano

Countries citing papers authored by Dulce Oliveira

Since Specialization

Citations

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

Fields of papers citing papers by Dulce Oliveira

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dulce Oliveira

This figure shows the co-authorship network connecting the top 25 collaborators of Dulce Oliveira. A scholar is included among the top collaborators of Dulce Oliveira 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 Dulce Oliveira. Dulce Oliveira is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Carvalho, Eduardo, et al.. (2025). Predetermined Change Control Plans: Guiding Principles for Advancing Safe, Effective, and High-Quality AI-ML Technologies. PubMed. 4. e76854–e76854. 2 indexed citations

Parente, Marco, et al.. (2025). Biomechanical Modeling and Simulation of the Knee Joint: Integration of AnyBody and Abaqus. SHILAP Revista de lepidopterología. 5(3). 57–57.

Starczewski, Andrzej, et al.. (2024). A Randomized Clinical Trial Comparing Dubuisson Laparoscopic Lateral Suspension with Laparoscopic Sacropexy for Pelvic Organ Prolapse: Short-Term Results. Journal of Clinical Medicine. 13(5). 1348–1348. 8 indexed citations

Oliveira, Dulce, et al.. (2024). Patient-specific surrogate model to predict pelvic floor dynamics during vaginal delivery. Journal of the mechanical behavior of biomedical materials. 160. 106736–106736. 1 indexed citations

Oliveira, Dulce, et al.. (2024). A finite element-based machine learning framework to predict the mechanical behavior of the pelvic floor muscles during childbirth. Expert Systems with Applications. 250. 123953–123953. 5 indexed citations

Samimi, Kayvan, Melissa C. Skala, Renato Natal Jorge, et al.. (2024). Contributing factors to preterm pre-labor rupture of the fetal membrane: Biomechanical analysis of the membrane under different physiological conditions. Mechanics of Materials. 197. 105104–105104. 1 indexed citations

Oliveira, Dulce, et al.. (2024). Multimodal Human Detection Using YOLO and Representation Learning for Robot Perception. 1–6.

Samimi, Kayvan, Michelle L. Oyen, Melissa C. Skala, et al.. (2023). Development of a multilayer fetal membrane material model calibrated using bulge inflation mechanical tests. Journal of the mechanical behavior of biomedical materials. 150. 106344–106344. 1 indexed citations

Oliveira, Dulce, et al.. (2023). A biomechanical perspective on perineal injuries during childbirth. Computer Methods and Programs in Biomedicine. 243. 107874–107874. 6 indexed citations

10.

Oliveira, Dulce, et al.. (2023). Biomechanik der Geburt. 56(10). 660–670.

11.

Ferreira, João, et al.. (2022). Biomechanical characterization of the small intestine to simulate gastrointestinal tract chyme propulsion. International Journal for Numerical Methods in Biomedical Engineering. 38(5). e3588–e3588. 5 indexed citations

12.

Borges, Margarida, Dulce Oliveira, Marco Parente, et al.. (2020). A numerical study on fetal head molding during labor. International Journal for Numerical Methods in Biomedical Engineering. 37(1). e3411–e3411. 13 indexed citations

13.

Borges, Margarida, et al.. (2020). Effect of the birthing position on its evolution from a biomechanical point of view. Computer Methods and Programs in Biomedicine. 200. 105921–105921. 12 indexed citations

14.

Ferreira, João, et al.. (2019). Simulation of the uterine contractions and foetus expulsion using a chemo-mechanical constitutive model. Biomechanics and Modeling in Mechanobiology. 18(3). 829–843. 18 indexed citations

15.

Oliveira, Dulce, et al.. (2019). Episiotomy: the biomechanical impact of multiple small incisions during a normal vaginal delivery. Interface Focus. 9(5). 20190027–20190027. 10 indexed citations

16.

Ferreira, João, et al.. (2018). On the effect of labour durations using an anisotropic visco-hyperelastic-damage approach to simulate vaginal deliveries. Journal of the mechanical behavior of biomedical materials. 88. 120–126. 16 indexed citations

17.

Oliveira, Dulce, Marco Parente, Begoña Calvo, Teresa Mascarenhas, & Renato Natal Jorge. (2017). The management of episiotomy technique and its effect on pelvic floor muscles during a malposition childbirth. Computer Methods in Biomechanics & Biomedical Engineering. 20(11). 1249–1259. 10 indexed citations

18.

Ferreira, João, et al.. (2017). Viscous effects in pelvic floor muscles during childbirth: A numerical study. International Journal for Numerical Methods in Biomedical Engineering. 34(3). 22 indexed citations

19.

Oliveira, Dulce, Marco Parente, Begoña Calvo, Teresa Mascarenhas, & Renato Natal Jorge. (2017). A holistic view of the effects of episiotomy on pelvic floor. International Journal for Numerical Methods in Biomedical Engineering. 33(12). 6 indexed citations

20.

Oliveira, Dulce, Thuane Da Roza, Sofia Brandão, et al.. (2015). Study on the influence of the fetus head molding on the biomechanical behavior of the pelvic floor muscles, during vaginal delivery. Journal of Biomechanics. 48(9). 1600–1605. 39 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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