David Espíndola

487 total citations
23 papers, 338 citations indexed

About

David Espíndola is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Computational Mechanics. According to data from OpenAlex, David Espíndola has authored 23 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Biomedical Engineering, 12 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Computational Mechanics. Recurrent topics in David Espíndola's work include Ultrasound Imaging and Elastography (12 papers), Ultrasound and Hyperthermia Applications (12 papers) and Photoacoustic and Ultrasonic Imaging (10 papers). David Espíndola is often cited by papers focused on Ultrasound Imaging and Elastography (12 papers), Ultrasound and Hyperthermia Applications (12 papers) and Photoacoustic and Ultrasonic Imaging (10 papers). David Espíndola collaborates with scholars based in United States, Chile and France. David Espíndola's co-authors include Gianmarco Pinton, Paul A. Dayton, Fanglue Lin, Juan D. Rojas, Sarah E. Shelton, Francisco Melo, B. B. Tripathi, Eugenio Hamm, François Coulouvrat and Franco Tapia and has published in prestigious journals such as Physical Review Letters, Journal of Computational Physics and The Journal of the Acoustical Society of America.

In The Last Decade

David Espíndola

20 papers receiving 334 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Espíndola United States 8 276 225 41 39 25 23 338
Niek van Wieringen Netherlands 7 334 1.2× 317 1.4× 17 0.4× 17 0.4× 31 1.2× 14 454
Stefan Preißer Switzerland 12 428 1.6× 234 1.0× 11 0.3× 183 4.7× 18 0.7× 17 498
Christophe Barrière France 9 267 1.0× 158 0.7× 12 0.3× 229 5.9× 18 0.7× 20 382
Fabien Mézière France 5 291 1.1× 357 1.6× 7 0.2× 133 3.4× 14 0.6× 7 433
Jaap R. Zijp Netherlands 10 261 0.9× 287 1.3× 27 0.7× 11 0.3× 23 0.9× 13 522
Liansheng Xu China 4 258 0.9× 184 0.8× 29 0.7× 128 3.3× 12 0.5× 11 395
Jürgen Beuthan Germany 10 294 1.1× 311 1.4× 50 1.2× 13 0.3× 16 0.6× 29 445
S. A. Tsysar Russia 9 225 0.8× 101 0.4× 5 0.1× 88 2.3× 7 0.3× 52 276
Ana González‐Suárez Spain 13 142 0.5× 47 0.2× 26 0.6× 50 1.3× 10 0.4× 44 541
Bahman Lashkari Canada 14 476 1.7× 294 1.3× 11 0.3× 378 9.7× 8 0.3× 40 583

Countries citing papers authored by David Espíndola

Since Specialization
Citations

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

Fields of papers citing papers by David Espíndola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Espíndola

This figure shows the co-authorship network connecting the top 25 collaborators of David Espíndola. A scholar is included among the top collaborators of David Espíndola 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 David Espíndola. David Espíndola 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.
Espíndola, David, et al.. (2024). Cubic nonlinearity and surface shock waves in soft tissue-like materials. Ultrasonics. 145. 107469–107469. 1 indexed citations
3.
Espíndola, David, et al.. (2023). Experimental observations of Scholte waves propagating in an incompressible soft solid. Journal of Sound and Vibration. 568. 117955–117955. 2 indexed citations
4.
Espíndola, David, et al.. (2021). Rotation Elastogram Estimation Using Mechanical Assisted Spatial Compounding: A simulation study. 34. 1–4. 1 indexed citations
5.
Espíndola, David, Emmanuel Chérin, Jianhua Yin, et al.. (2020). Superharmonic Ultrasound for Motion-Independent Localization Microscopy: Applications to Microvascular Imaging From Low to High Flow Rates. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 67(5). 957–967. 31 indexed citations
6.
Espíndola, David, et al.. (2020). Quantitative sub-resolution blood velocity estimation using ultrasound localization microscopy ex-vivo and in-vivo. Biomedical Physics & Engineering Express. 6(3). 35019–35019. 11 indexed citations
8.
Tripathi, B. B., David Espíndola, & Gianmarco Pinton. (2019). Modeling and simulations of two dimensional propagation of shear shock waves in relaxing soft solids. Journal of Computational Physics. 395. 205–222. 3 indexed citations
9.
Tripathi, B. B., David Espíndola, & Gianmarco Pinton. (2019). Piecewise parabolic method for propagation of shear shock waves in relaxing soft solids: One‐dimensional case. International Journal for Numerical Methods in Biomedical Engineering. 35(5). e3187–e3187. 5 indexed citations
10.
Espíndola, David, et al.. (2018). Adaptive Multifocus Beamforming for Contrast-Enhanced-Super-Resolution Ultrasound Imaging in Deep Tissue. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 65(12). 2255–2263. 11 indexed citations
11.
Espíndola, David, et al.. (2018). Amplification of stick-slip events through lubricated contacts in consolidated granular media. Physical review. E. 98(4). 1 indexed citations
12.
Espíndola, David, et al.. (2018). Focusing of Shear Shock Waves. Physical Review Applied. 9(1). 14 indexed citations
13.
Tripathi, B. B., David Espíndola, & Gianmarco Pinton. (2017). Piecewise parabolic method for simulating one-dimensional shear shock wave propagation in tissue-mimicking phantoms. Shock Waves. 27(6). 879–888. 7 indexed citations
14.
Espíndola, David, Stephen Lee, & Gianmarco Pinton. (2017). High frame-rate imaging and adaptive tracking of shear shock wave formation in the brain: A fullwave and experimental study. 2017 IEEE International Ultrasonics Symposium (IUS). 1–4.
15.
Espíndola, David & Gianmarco Pinton. (2017). Shear shock waves observed in the ex-vivo brain. 2017 IEEE International Ultrasonics Symposium (IUS). 1–4. 1 indexed citations
16.
Espíndola, David & Gianmarco Pinton. (2017). High frame-rate imaging and adaptive tracking of shear shock wave formation in the brain: A fullwave and experimental study. 2017 IEEE International Ultrasonics Symposium (IUS). 1–1. 1 indexed citations
17.
Espíndola, David, et al.. (2016). Creep of sound paths in consolidated granular material detected through coda wave interferometry. Physical review. E. 94(1). 12901–12901. 3 indexed citations
18.
19.
Tapia, Franco, David Espíndola, Eugenio Hamm, & Francisco Melo. (2013). Effect of packing fraction on shear band formation in a granular material forced by a penetrometer. Physical Review E. 87(1). 14201–14201. 15 indexed citations
20.
Espíndola, David, et al.. (2012). Ultrasound Induces Aging in Granular Materials. Physical Review Letters. 109(15). 158301–158301. 24 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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