Marco J. da Silva

3.3k total citations
154 papers, 2.5k citations indexed

About

Marco J. da Silva is a scholar working on Biomedical Engineering, Mechanics of Materials and Electrical and Electronic Engineering. According to data from OpenAlex, Marco J. da Silva has authored 154 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 99 papers in Biomedical Engineering, 68 papers in Mechanics of Materials and 67 papers in Electrical and Electronic Engineering. Recurrent topics in Marco J. da Silva's work include Fluid Dynamics and Mixing (73 papers), Flow Measurement and Analysis (66 papers) and Electrical and Bioimpedance Tomography (47 papers). Marco J. da Silva is often cited by papers focused on Fluid Dynamics and Mixing (73 papers), Flow Measurement and Analysis (66 papers) and Electrical and Bioimpedance Tomography (47 papers). Marco J. da Silva collaborates with scholars based in Brazil, Germany and Austria. Marco J. da Silva's co-authors include Uwe Hampel, Jovan Popović, Rigoberto Morales, Eckhard Schleicher, Eduardo Nunes dos Santos, Yeuhi Abe, Sebastian Thiele, B.J. Azzopardi, Daniel Rodrigues Pipa and Lokman A. Abdulkareem and has published in prestigious journals such as SHILAP Revista de lepidopterología, Chemical Engineering Journal and The Journal of Urology.

In The Last Decade

Marco J. da Silva

147 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marco J. da Silva Brazil 28 1.5k 739 696 674 456 154 2.5k
Gholam Hossein Roshani Iran 29 1.2k 0.8× 925 1.3× 531 0.8× 553 0.8× 137 0.3× 82 2.8k
Ehsan Nazemi Iran 29 1.2k 0.8× 884 1.2× 514 0.7× 574 0.9× 92 0.2× 85 2.8k
Júlio C. Adamowski Brazil 25 1.1k 0.7× 549 0.7× 388 0.6× 301 0.4× 178 0.4× 118 1.9k
Robert Hanus Poland 22 627 0.4× 618 0.8× 307 0.4× 323 0.5× 104 0.2× 101 1.6k
Eckhard Schleicher Germany 25 1.4k 0.9× 424 0.6× 365 0.5× 583 0.9× 468 1.0× 108 1.9k
Yide Wang France 27 283 0.2× 191 0.3× 901 1.3× 464 0.7× 229 0.5× 222 3.1k
Wei Zhao China 32 314 0.2× 1.2k 1.6× 1.0k 1.4× 1.3k 2.0× 108 0.2× 317 3.1k
Huaxiang Wang China 27 565 0.4× 1.0k 1.4× 1.9k 2.7× 969 1.4× 121 0.3× 227 2.3k
S. Narayanan India 35 674 0.5× 929 1.3× 279 0.4× 1.1k 1.6× 405 0.9× 157 3.7k
Pedro M. Ramos Portugal 23 410 0.3× 306 0.4× 1.1k 1.5× 578 0.9× 68 0.1× 134 2.0k

Countries citing papers authored by Marco J. da Silva

Since Specialization
Citations

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

Fields of papers citing papers by Marco J. da Silva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marco J. da Silva. 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 Marco J. da Silva. The network helps show where Marco J. da Silva may publish in the future.

Co-authorship network of co-authors of Marco J. da Silva

This figure shows the co-authorship network connecting the top 25 collaborators of Marco J. da Silva. A scholar is included among the top collaborators of Marco J. da Silva 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 Marco J. da Silva. Marco J. da Silva 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.
Silva, Marco J. da, et al.. (2025). Determination of Gas Void Fraction in a Bubble Column Reactor Using Fiber-Optic Distributed Acoustic Sensing. IEEE Transactions on Instrumentation and Measurement. 74. 1–10.
3.
Silva, Marco J. da, et al.. (2024). Flow monitoring in a bubble column reactor by Distributed Acoustic Sensing. tm - Technisches Messen. 91(s1). 14–19. 1 indexed citations
4.
Santos, Eduardo Nunes dos, et al.. (2023). Spatial distribution of void fraction in the liquid slug in vertical Gas-Liquid slug flow. Experimental Thermal and Fluid Science. 151. 111093–111093. 8 indexed citations
5.
Santos, Eduardo Nunes dos, Jean Carlos Cardozo da Silva, Cícero Martelli, et al.. (2023). Measurement of Gas-Phase Velocities in Two-Phase Flow Using Distributed Acoustic Sensing. IEEE Sensors Journal. 23(4). 3597–3608. 23 indexed citations
6.
Silva, Marco J. da, et al.. (2023). A Fast and Improved Dual-PRT Doppler Technique for Industrial Flow Metering. IEEE Sensors Letters. 7(9). 1–4. 2 indexed citations
7.
Pipa, Daniel Rodrigues, et al.. (2023). Sparse regression system identification in two-phase flow metering. Measurement. 222. 113646–113646. 1 indexed citations
8.
Huang, Hen‐Wei, Peter R. Chai, Philipp Rupp, et al.. (2022). Mobile Robotic Platform for Contactless Vital Sign Monitoring. SHILAP Revista de lepidopterología. 2022. 44 indexed citations
9.
Yoo, Hongki, Marco J. da Silva, Bernhard Jakoby, et al.. (2022). Announcing the 2021 Measurement Science and Technology Outstanding Paper Awards. Measurement Science and Technology. 33(7). 70201–70201. 1 indexed citations
10.
Silva, Marco J. da, Daniel Rodrigues Pipa, Jean Carlos Cardozo da Silva, et al.. (2022). Optical Fiber Serpentine Arrangements for Vibration Analysis Using Distributed Acoustic Sensing. IEEE Sensors Journal. 22(23). 22691–22699. 5 indexed citations
11.
Lazzaretti, André Eugênio, et al.. (2021). Two-phase flow pattern classification based on void fraction time series and machine learning. Flow Measurement and Instrumentation. 83. 102084–102084. 20 indexed citations
12.
Silva, Marco J. da, et al.. (2021). Numerical and experimental analysis of vertically ascending swirling liquid film flow. Journal of Petroleum Science and Engineering. 206. 109030–109030. 4 indexed citations
13.
Pipa, Daniel Rodrigues, et al.. (2021). Wire-Mesh Sensor Super-Resolution Based on Statistical Reconstruction. IEEE Transactions on Instrumentation and Measurement. 70. 1–12. 9 indexed citations
14.
Shi, Xuewei, Chao Tan, Feng Dong, Eduardo Nunes dos Santos, & Marco J. da Silva. (2020). Conductance Sensors for Multiphase Flow Measurement: A Review. IEEE Sensors Journal. 21(11). 12913–12925. 60 indexed citations
15.
Pipa, Daniel Rodrigues, et al.. (2020). Cable Fault Characterization by Time-Domain Analysis From S-Parameter Measurement and Sparse Inverse Chirp-Z Transform. IEEE Sensors Journal. 21(2). 1009–1016. 8 indexed citations
16.
Dutra, Guilherme, et al.. (2020). Horse Gait Identification Using Distributed Acoustic Sensing. IEEE Sensors Journal. 21(3). 3058–3065. 2 indexed citations
17.
Pipa, Daniel Rodrigues, et al.. (2017). Image Reconstruction for Electrical Capacitance Tomography Through Redundant Sensitivity Matrix. IEEE Sensors Journal. 17(24). 8157–8165. 19 indexed citations
18.
Silva, Marco J. da, Uwe Hampel, Lúcia Valéria Ramos de Arruda, Carlos E. F. do Amaral, & Rigoberto Morales. (2011). Experimental investigation of horizontal gas-liquid slug flow by means of wire-mesh sensor. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 33. 234–242. 26 indexed citations
19.
Abe, Yeuhi, Marco J. da Silva, & Jovan Popović. (2007). Multiobjective control with frictional contacts. 249–258. 104 indexed citations
20.
Steffgen, Georges, Marco J. da Silva, & Sophie Recchia. (2007). Self-Concept Clarity Scale (SCSS): Psychometric Properties and Aggression Correlates of a German Version. Open Repository and Bibliography (University of Luxembourg). 5(3). 14 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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