David A. Miranda

870 total citations
56 papers, 577 citations indexed

About

David A. Miranda is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Materials Chemistry. According to data from OpenAlex, David A. Miranda has authored 56 papers receiving a total of 577 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Electrical and Electronic Engineering, 10 papers in Biomedical Engineering and 9 papers in Materials Chemistry. Recurrent topics in David A. Miranda's work include Electrical and Bioimpedance Tomography (11 papers), Microfluidic and Bio-sensing Technologies (7 papers) and Body Composition Measurement Techniques (6 papers). David A. Miranda is often cited by papers focused on Electrical and Bioimpedance Tomography (11 papers), Microfluidic and Bio-sensing Technologies (7 papers) and Body Composition Measurement Techniques (6 papers). David A. Miranda collaborates with scholars based in Colombia, Brazil and Spain. David A. Miranda's co-authors include Paulo R. Bueno, J. Gonçalves, María Celeste Lopes, Alberto Órfão, Laura Ruíz, Pablo Sousa, María Dolores Tabernero, María González-Tablas, Daniel Pascual and Álvaro Otero and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Physical Chemistry C and Construction and Building Materials.

In The Last Decade

David A. Miranda

48 papers receiving 568 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 A. Miranda Colombia 11 162 141 94 90 90 56 577
Libo Zheng China 16 144 0.9× 233 1.7× 32 0.3× 130 1.4× 153 1.7× 45 809
Xinting Wei China 15 95 0.6× 173 1.2× 39 0.4× 61 0.7× 17 0.2× 29 507
Xiaowei Kang China 13 165 1.0× 75 0.5× 66 0.7× 72 0.8× 11 0.1× 28 601
Le Ma China 12 179 1.1× 166 1.2× 40 0.4× 10 0.1× 36 0.4× 33 565
Qing Mao China 13 51 0.3× 128 0.9× 47 0.5× 138 1.5× 24 0.3× 48 637
Xiaotian Sun China 7 133 0.8× 519 3.7× 66 0.7× 13 0.1× 76 0.8× 10 754
Paul DeRose United States 5 102 0.6× 176 1.2× 194 2.1× 28 0.3× 45 0.5× 9 756
Dongdong Xiao China 12 62 0.4× 48 0.3× 70 0.7× 117 1.3× 19 0.2× 34 509
Taoran Zhang China 14 52 0.3× 365 2.6× 55 0.6× 20 0.2× 65 0.7× 38 889
Libo Zhang China 20 170 1.0× 536 3.8× 81 0.9× 27 0.3× 49 0.5× 40 1.2k

Countries citing papers authored by David A. Miranda

Since Specialization
Citations

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

Fields of papers citing papers by David A. Miranda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David A. Miranda

This figure shows the co-authorship network connecting the top 25 collaborators of David A. Miranda. A scholar is included among the top collaborators of David A. Miranda 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 A. Miranda. David A. Miranda 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.
Miranda, David A., et al.. (2025). KDssZ: A web-based open-access tool for physics-based impedance measurements in cement-based composites. Construction and Building Materials. 489. 142039–142039. 1 indexed citations
2.
Miranda, David A., et al.. (2024). Effects of thermal treatment on the electrical behavior of titanium dioxide thin-films. Emergent Materials. 7(5). 2025–2034. 2 indexed citations
3.
Miranda, David A., et al.. (2023). An in silico study on the detectability of field cancerization through parenchymal analysis of digital mammograms. Medical Physics. 50(10). 6379–6389. 1 indexed citations
4.
Miranda, David A., et al.. (2022). Modelo de presencialidad remota para Física I, II y III. 1 indexed citations
5.
Miranda, David A., et al.. (2022). Effective medium electrical response model of carbon nanotubes cement-based composites. Construction and Building Materials. 344. 128293–128293. 14 indexed citations
6.
Miranda, David A., et al.. (2021). Algorithms and methods for computerized analysis of mammography images in breast cancer risk assessment. Computer Methods and Programs in Biomedicine. 212. 106443–106443. 5 indexed citations
7.
Miranda, David A., et al.. (2020). Sensibility analysis of the electrical impedance parameters by the Monte Carlo method. Journal of Physics Conference Series. 1514(1). 12001–12001. 2 indexed citations
8.
Miranda, David A. & Said Pertuz. (2019). Field cancerization in the understanding of parenchymal analysis of mammograms for breast cancer risk assessment. Medical Hypotheses. 136. 109511–109511. 3 indexed citations
9.
González-Correa, Carlos-Augusto, et al.. (2019). The alpha parameter of the Cole-Cole model as an indicator of fibromyalgia. Journal of Physics Conference Series. 1272(1). 12003–12003. 1 indexed citations
10.
González-Correa, Carlos-Augusto, et al.. (2017). The colon revisited or the key to wellness, health and disease. Medical Hypotheses. 108. 133–143. 15 indexed citations
11.
Bueno, Paulo R. & David A. Miranda. (2017). Conceptual density functional theory for electron transfer and transport in mesoscopic systems. Physical Chemistry Chemical Physics. 19(8). 6184–6195. 11 indexed citations
12.
Méndez‐Sánchez, Stelia C., et al.. (2016). Could field cancerization be interpreted as a biochemical anomaly amplification due to transformed cells?. Medical Hypotheses. 97. 107–111. 4 indexed citations
13.
Domingues, Patrícia, María González-Tablas, Álvaro Otero, et al.. (2015). Tumor infiltrating immune cells in gliomas and meningiomas. Brain Behavior and Immunity. 53. 1–15. 220 indexed citations
14.
Miranda, David A., S. A. López‐Rivera, J. J. Prías‐Barragán, et al.. (2011). Photoluminescence, Photoreflectance and Optical Absorption of Hg[sub 0.5]Cd[sub 0.5]Se. AIP conference proceedings. 77–80. 1 indexed citations
15.
Miranda, David A., et al.. (2010). Impeditividad eléctrica en la detección temprana del cáncer cervical. Salud UIS. 42(3). 212–219.
16.
Tavares, João Manuel R. S., et al.. (2008). An application of hough transform to identify breast cancer in images. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 1 indexed citations
17.
Miranda, David A., et al.. (2008). Determination of Cole–Cole parameters using only the real part of electrical impedivity measurements. Physiological Measurement. 29(5). 669–683. 12 indexed citations
18.
Miranda, David A., et al.. (2007). TEORÍA. MÉTODO, ÁNÁLISIS DE FOURIER y ERROR DEL MUESTREO POR DESFASE. SHILAP Revista de lepidopterología. 6(1). 25–33.
19.
Miranda, David A., et al.. (2006). Zona de incidencia de una sonda tetrapolar para la espectroscopia de impedancia eléctrica en tejido humano in-vivo. SHILAP Revista de lepidopterología. 1 indexed citations
20.
Miranda, David A., et al.. (2006). Estudio piloto de detección temprana de cáncer de cuello uterino basado en espectroscopía de impedancia eléctrica.. Salud UIS. 38(3). 189–196.

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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