Corina Drapaca

1.5k total citations
51 papers, 1.1k citations indexed

About

Corina Drapaca is a scholar working on Biomedical Engineering, Cellular and Molecular Neuroscience and Mechanics of Materials. According to data from OpenAlex, Corina Drapaca has authored 51 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Biomedical Engineering, 10 papers in Cellular and Molecular Neuroscience and 10 papers in Mechanics of Materials. Recurrent topics in Corina Drapaca's work include Elasticity and Material Modeling (8 papers), Cerebrospinal fluid and hydrocephalus (6 papers) and Fractional Differential Equations Solutions (5 papers). Corina Drapaca is often cited by papers focused on Elasticity and Material Modeling (8 papers), Cerebrospinal fluid and hydrocephalus (6 papers) and Fractional Differential Equations Solutions (5 papers). Corina Drapaca collaborates with scholars based in United States, Canada and China. Corina Drapaca's co-authors include S. Sivaloganathan, Zhifeng Zhang, Ruifan Meng, Deshun Yin, Valerie A. Cardenas, G. Tenti, Dong Nyoung Heo, Jie Xu, İbrahim T. Özbolat and Madhuri Dey and has published in prestigious journals such as Journal of Computational Physics, Science Advances and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Corina Drapaca

49 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Corina Drapaca United States 16 414 214 191 129 113 51 1.1k
Rebecca J. Shipley United Kingdom 25 587 1.4× 168 0.8× 133 0.7× 19 0.1× 33 0.3× 77 1.6k
Vasileios Vavourakis United Kingdom 17 229 0.6× 121 0.6× 89 0.5× 70 0.5× 18 0.2× 52 691
David Frakes United States 28 554 1.3× 32 0.1× 53 0.3× 304 2.4× 8 0.1× 98 2.1k
Jonathan Whiteley United Kingdom 18 269 0.6× 68 0.3× 72 0.4× 6 0.0× 19 0.2× 46 1.1k
Hao Gao United Kingdom 28 963 2.3× 16 0.1× 78 0.4× 76 0.6× 26 0.2× 133 2.0k
Serdar Göktepe United States 23 1.0k 2.5× 20 0.1× 256 1.3× 9 0.1× 61 0.5× 43 1.8k
Ramin Vatankhah Iran 19 138 0.3× 74 0.3× 262 1.4× 28 0.2× 374 3.3× 100 1.1k
E. Hofer Germany 18 145 0.4× 12 0.1× 39 0.2× 51 0.4× 49 0.4× 92 1.0k
Grand Roman Joldes Australia 23 757 1.8× 15 0.1× 312 1.6× 204 1.6× 26 0.2× 67 1.6k
Reuben D. O’Dea United Kingdom 14 135 0.3× 58 0.3× 64 0.3× 6 0.0× 17 0.2× 47 642

Countries citing papers authored by Corina Drapaca

Since Specialization
Citations

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

Fields of papers citing papers by Corina Drapaca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Corina Drapaca

This figure shows the co-authorship network connecting the top 25 collaborators of Corina Drapaca. A scholar is included among the top collaborators of Corina Drapaca 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 Corina Drapaca. Corina Drapaca 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.
2.
Drapaca, Corina. (2024). A Mathematical Study of Effects of Alzheimer’s Drug Donepezil Hydrochloride on Neuronal Viscoelasticity and Action Potentials. Mathematical and Computational Applications. 29(6). 117–117. 1 indexed citations
3.
Drapaca, Corina, et al.. (2023). Modelling Radiation Cancer Treatment with a Death-Rate Term in Ordinary and Fractional Differential Equations. Bulletin of Mathematical Biology. 85(6). 47–47. 9 indexed citations
4.
Drapaca, Corina, et al.. (2021). Modeling NO Biotransport in Brain Using a Space-Fractional Reaction-Diffusion Equation. Frontiers in Physiology. 12. 644149–644149. 3 indexed citations
5.
Ayan, Bugra, Dong Nyoung Heo, Zhifeng Zhang, et al.. (2020). Aspiration-assisted bioprinting for precise positioning of biologics. Science Advances. 6(10). 131–150. 213 indexed citations
6.
Drapaca, Corina. (2018). Brain-on-a-chip: Design and modeling. 25. 147–162. 2 indexed citations
7.
Zhang, Zhifeng, Jie Xu, & Corina Drapaca. (2018). Particle squeezing in narrow confinements. Microfluidics and Nanofluidics. 22(10). 48 indexed citations
8.
Zhang, Zhichao, et al.. (2017). Leakage Evaluation by Virtual Entropy Generation (VEG) Method. Entropy. 20(1). 14–14. 10 indexed citations
9.
Drapaca, Corina, et al.. (2017). Anistropically varying conductivity in irreversible electroporation simulations. Theoretical Biology and Medical Modelling. 14(1). 20–20. 3 indexed citations
10.
Zhang, Zhifeng & Corina Drapaca. (2016). A critical velocity of squeezing a droplet through a circular constriction: implications on ischemic stroke. Bulletin of the American Physical Society. 1 indexed citations
11.
Drapaca, Corina, et al.. (2016). Digital Signal Processing Methods for Ultrasonic Echoes. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 63(8). 1172–1176. 5 indexed citations
12.
Drapaca, Corina, Stefan Hartmann, Jacek Leszczyński, Sivabal Sivaloganathan, & Wojciech Sumelka. (2016). Preface. Journal of mechanics of materials and structures. 12(1). 1–2. 1 indexed citations
13.
Drapaca, Corina. (2015). An electromechanical model of neuronal dynamics using Hamilton's principle. Frontiers in Cellular Neuroscience. 9. 271–271. 11 indexed citations
14.
Hasan, Mehedi & Corina Drapaca. (2015). A Poroelastic-Viscoelastic Limit for Modeling Brain Biomechanics. MRS Proceedings. 1753. 3 indexed citations
15.
Wilkie, Kathleen P., Corina Drapaca, & S. Sivaloganathan. (2011). Aging impact on brain biomechanics with applications to hydrocephalus. Mathematical Medicine and Biology A Journal of the IMA. 29(2). 145–161. 19 indexed citations
16.
Drapaca, Corina. (2009). A Nonlinear Total Variation-Based Denoising Method With Two Regularization Parameters. IEEE Transactions on Biomedical Engineering. 56(3). 582–586. 21 indexed citations
17.
Studholme, Colin, Corina Drapaca, Bistra Iordanova, & Valerie A. Cardenas. (2006). Deformation-based mapping of volume change from serial brain MRI in the presence of local tissue contrast change. IEEE Transactions on Medical Imaging. 25(5). 626–639. 113 indexed citations
18.
Drapaca, Corina, S. Sivaloganathan, & G. Tenti. (2006). Nonlinear Constitutive Laws in Viscoelasticity. Mathematics and Mechanics of Solids. 12(5). 475–501. 53 indexed citations
19.
Studholme, Colin, Corina Drapaca, & Valerie A. Cardenas. (2005). Intensity Robust Viscous Fluid Deformation Based Morphometry Using Regionally Adapted Mutual Information. PubMed. 1131. 470–473. 4 indexed citations
20.
Drapaca, Corina, et al.. (2005). Segmentation of tissue boundary evolution from brain MR image sequences using multi-phase level sets. Computer Vision and Image Understanding. 100(3). 312–329. 17 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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