Daniel Rodrigues Pipa

810 total citations
81 papers, 581 citations indexed

About

Daniel Rodrigues Pipa is a scholar working on Electrical and Electronic Engineering, Mechanics of Materials and Biomedical Engineering. According to data from OpenAlex, Daniel Rodrigues Pipa has authored 81 papers receiving a total of 581 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Electrical and Electronic Engineering, 24 papers in Mechanics of Materials and 21 papers in Biomedical Engineering. Recurrent topics in Daniel Rodrigues Pipa's work include Advanced Fiber Optic Sensors (19 papers), Flow Measurement and Analysis (14 papers) and Ultrasonics and Acoustic Wave Propagation (12 papers). Daniel Rodrigues Pipa is often cited by papers focused on Advanced Fiber Optic Sensors (19 papers), Flow Measurement and Analysis (14 papers) and Ultrasonics and Acoustic Wave Propagation (12 papers). Daniel Rodrigues Pipa collaborates with scholars based in Brazil, Austria and Spain. Daniel Rodrigues Pipa's co-authors include Marco J. da Silva, Rigoberto Morales, Jean Carlos Cardozo da Silva, Cícero Martelli, Marcelo V. W. Zibetti, Lúcia Valéria Ramos de Arruda, André Eugênio Lazzaretti, Leyza Baldo Dorini, Carlos E. F. do Amaral and Eduardo Nunes dos Santos and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Image Processing and IEEE Access.

In The Last Decade

Daniel Rodrigues Pipa

69 papers receiving 558 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Rodrigues Pipa Brazil 14 246 210 167 142 79 81 581
Volodymyr Mosorov Poland 14 222 0.9× 216 1.0× 241 1.4× 149 1.0× 44 0.6× 58 644
Xiangchen Qian China 17 406 1.7× 151 0.7× 174 1.0× 365 2.6× 49 0.6× 64 772
Linas Svilainis Lithuania 15 267 1.1× 206 1.0× 367 2.2× 143 1.0× 43 0.5× 99 721
Haifeng Ji China 15 380 1.5× 249 1.2× 188 1.1× 192 1.4× 32 0.4× 59 641
Aldo Ghisi Italy 16 487 2.0× 280 1.3× 186 1.1× 136 1.0× 33 0.4× 65 916
Thomas Schäfer Germany 13 260 1.1× 159 0.8× 135 0.8× 107 0.8× 54 0.7× 24 538
Leszek Petryka Poland 12 77 0.3× 320 1.5× 292 1.7× 134 0.9× 85 1.1× 45 560
Bin Wu China 15 203 0.8× 185 0.9× 73 0.4× 315 2.2× 58 0.7× 116 814
Xiaojun Tang China 12 324 1.3× 99 0.5× 125 0.7× 230 1.6× 21 0.3× 54 642
Bonyong Koo South Korea 13 144 0.6× 58 0.3× 139 0.8× 104 0.7× 82 1.0× 45 480

Countries citing papers authored by Daniel Rodrigues Pipa

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Rodrigues Pipa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Rodrigues Pipa. 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 Daniel Rodrigues Pipa. The network helps show where Daniel Rodrigues Pipa may publish in the future.

Co-authorship network of co-authors of Daniel Rodrigues Pipa

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Rodrigues Pipa. A scholar is included among the top collaborators of Daniel Rodrigues Pipa 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 Daniel Rodrigues Pipa. Daniel Rodrigues Pipa 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, Thiago H., et al.. (2024). Contactor Fault Detection and Classification System Using Optical Fiber Bragg Grating Sensors. IEEE Sensors Journal. 24(4). 5316–5323. 4 indexed citations
3.
Lazzaretti, André Eugênio, et al.. (2023). Features Extraction and Selection with the Scattering Transform for Electrical Load Classification. 21(1). 19–35. 3 indexed citations
4.
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
5.
Pipa, Daniel Rodrigues, et al.. (2023). Feature Extraction and Selection for Identifying Faults in Contactors Using Fiber Bragg Grating. IEEE Sensors Journal. 23(17). 20357–20367. 3 indexed citations
6.
Pipa, Daniel Rodrigues, et al.. (2022). Effects of Thermal Gradients in High-Temperature Ultrasonic Non-Destructive Tests. Sensors. 22(7). 2799–2799. 9 indexed citations
7.
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
8.
Pipa, Daniel Rodrigues, et al.. (2021). Surface Estimation via Analysis Method: A Constrained Inverse Problem Approach. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 68(11). 3386–3395. 4 indexed citations
9.
Pipa, Daniel Rodrigues, et al.. (2021). A straightforward method to evaluate the directivity function of ultrasound imaging systems. NDT & E International. 119. 102402–102402. 7 indexed citations
10.
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
11.
Lazzaretti, André Eugênio, et al.. (2021). Scattering Transform for Classification in Non-Intrusive Load Monitoring. Energies. 14(20). 6796–6796. 12 indexed citations
12.
Pipa, Daniel Rodrigues, et al.. (2020). Image-Based Ultrasound Speed Estimation in Isotropic Materials. IEEE Sensors Journal. 20(21). 12903–12913. 3 indexed citations
13.
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
14.
Dutra, Guilherme, et al.. (2020). Horse Gait Identification Using Distributed Acoustic Sensing. IEEE Sensors Journal. 21(3). 3058–3065. 2 indexed citations
15.
Arruda, Lúcia Valéria Ramos de, et al.. (2019). Intelligent 3D Perception System for Semantic Description and Dynamic Interaction. Sensors. 19(17). 3764–3764. 4 indexed citations
16.
Arruda, Lúcia Valéria Ramos de, et al.. (2019). Sliding Window Mapping for Omnidirectional RGB-D Sensors. Sensors. 19(23). 5121–5121. 2 indexed citations
17.
Zibetti, Marcelo V. W., et al.. (2018). Sparse Ultrasound Imaging via Manifold Low-Rank Approximation and Non-Convex Greedy Pursuit. Sensors. 18(12). 4097–4097. 1 indexed citations
18.
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
19.
Zibetti, Marcelo V. W., et al.. (2017). An Assessment of Iterative Reconstruction Methods for Sparse Ultrasound Imaging. Sensors. 17(3). 533–533. 6 indexed citations
20.
Pipa, Daniel Rodrigues, et al.. (2015). A Sparse Reconstruction Algorithm for Ultrasonic Images in Nondestructive Testing. Sensors. 15(4). 9324–9343. 28 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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