Mauro Hugo Mathias

561 total citations
31 papers, 417 citations indexed

About

Mauro Hugo Mathias is a scholar working on Mechanical Engineering, Control and Systems Engineering and Ocean Engineering. According to data from OpenAlex, Mauro Hugo Mathias has authored 31 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Mechanical Engineering, 11 papers in Control and Systems Engineering and 7 papers in Ocean Engineering. Recurrent topics in Mauro Hugo Mathias's work include Machine Fault Diagnosis Techniques (9 papers), Drilling and Well Engineering (7 papers) and Gear and Bearing Dynamics Analysis (5 papers). Mauro Hugo Mathias is often cited by papers focused on Machine Fault Diagnosis Techniques (9 papers), Drilling and Well Engineering (7 papers) and Gear and Bearing Dynamics Analysis (5 papers). Mauro Hugo Mathias collaborates with scholars based in Brazil, Austria and Germany. Mauro Hugo Mathias's co-authors include Andreas Nascimento, João Andrade de Carvalho, Gerhard Thonhauser, Pedro Silva Girão, J. A. Brandon, Pedro M. Ramos, Julian David Hunt, Lucas Campos Curcino Vieira, Fernando Juliani and M. Reich and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Sound and Vibration and Composite Structures.

In The Last Decade

Mauro Hugo Mathias

27 papers receiving 394 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mauro Hugo Mathias Brazil 10 254 201 139 102 89 31 417
Farid Arvani Canada 7 186 0.7× 67 0.3× 231 1.7× 88 0.9× 89 1.0× 15 350
Afzal Ahmed Soomro Malaysia 8 173 0.7× 73 0.4× 52 0.4× 54 0.5× 70 0.8× 13 298
Hao Lan China 10 192 0.8× 177 0.9× 91 0.7× 233 2.3× 83 0.9× 12 377
Akhand Rai South Korea 9 154 0.6× 74 0.4× 163 1.2× 106 1.0× 76 0.9× 10 325
Slim Soua United Kingdom 9 193 0.8× 35 0.2× 166 1.2× 185 1.8× 155 1.7× 16 395
Chang Peng China 11 169 0.7× 34 0.2× 132 0.9× 116 1.1× 164 1.8× 29 318
Krzysztof Lalik Poland 10 90 0.4× 43 0.2× 69 0.5× 93 0.9× 83 0.9× 40 254
Chuang Wang China 10 107 0.4× 67 0.3× 52 0.4× 259 2.5× 46 0.5× 37 347
Mohammad Rezazadeh Mehrjou Malaysia 8 204 0.8× 44 0.2× 375 2.7× 41 0.4× 142 1.6× 20 453
Jamie Blanche United Kingdom 10 59 0.2× 81 0.4× 48 0.3× 52 0.5× 95 1.1× 25 281

Countries citing papers authored by Mauro Hugo Mathias

Since Specialization
Citations

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

Fields of papers citing papers by Mauro Hugo Mathias

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mauro Hugo Mathias. 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 Mauro Hugo Mathias. The network helps show where Mauro Hugo Mathias may publish in the future.

Co-authorship network of co-authors of Mauro Hugo Mathias

This figure shows the co-authorship network connecting the top 25 collaborators of Mauro Hugo Mathias. A scholar is included among the top collaborators of Mauro Hugo Mathias 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 Mauro Hugo Mathias. Mauro Hugo Mathias 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.
Nascimento, Andreas, et al.. (2025). Analysis of the Sugarcane Biomass Use to Produce Green Hydrogen: Brazilian Case Study. Applied Sciences. 15(3). 1675–1675. 3 indexed citations
2.
Nascimento, Andreas, et al.. (2025). O&G, Geothermal Systems, and Natural Hydrogen Well Drilling: Market Analysis and Review. Energies. 18(7). 1608–1608. 2 indexed citations
3.
Nascimento, Andreas, et al.. (2025). Renewable energy perspectives: Brazilian case study on green hydrogen production. AIMS energy. 13(2). 449–470.
4.
Nascimento, Andreas, et al.. (2025). Optimization of Rate of Penetration and Mechanical Specific Energy Using Response Surface Methodology and Multi-Objective Optimization. Applied Sciences. 15(3). 1390–1390. 1 indexed citations
5.
Nascimento, Andreas, et al.. (2024). Renewable Energy Potentials and Roadmap in Brazil, Austria, and Germany. Energies. 17(6). 1482–1482. 14 indexed citations
7.
Vieira, Lucas Campos Curcino, et al.. (2019). Conception of a Web Operation System for Processing Petroleum Related Drilling Data: A Focus on Pre-Salt Real-Time Automation and Optimization. Journal of Software Engineering and Applications. 12(4). 61–71. 4 indexed citations
8.
Nascimento, Andreas, et al.. (2019). Machine learning methods applied to drilling rate of penetration prediction and optimization - A review. Journal of Petroleum Science and Engineering. 183. 106332–106332. 156 indexed citations
9.
Nascimento, Andreas, et al.. (2015). Single-Phase Velocity Determination Based in Video and Sub-Images Processing: An Optical Flow Method Implemented with Support of a Programmed MatLab Structured Script. Journal of Software Engineering and Applications. 8(6). 290–294. 2 indexed citations
10.
Mathias, Mauro Hugo, et al.. (2015). Rotor failure detection of induction motors by wavelet transform and Fourier transform in non-stationary condition. UNESP Institutional Repository (São Paulo State University). 1. 15–26. 54 indexed citations
11.
Mathias, Mauro Hugo, et al.. (2015). Application of a computer sound card for measurement of mechanical vibrations. SHILAP Revista de lepidopterología. 37(4). 4313–1. 1 indexed citations
12.
Nascimento, Andreas, et al.. (2015). Mathematical Modeling Applied to Drilling Engineering: An Application of Bourgoyne and Young ROP Model to a Presalt Case Study. Mathematical Problems in Engineering. 2015. 1–9. 29 indexed citations
13.
Mathias, Mauro Hugo, et al.. (2015). Rotor Failure Diagnosis of Induction Motors by Wavelet Transform and Fourier Transform in Function of the Load. 109–113. 3 indexed citations
14.
Mathias, Mauro Hugo, et al.. (2014). Condition-based monitoring system for rolling element bearing using a generic multi-layer perceptron. Journal of Vibration and Control. 21(16). 3456–3464. 32 indexed citations
15.
Mathias, Mauro Hugo, et al.. (2014). Digital Systems Design Based on DSP Algorithms in FPGA for Fault Identification in Rotary Machines. 2(1). 1–1. 5 indexed citations
16.
Juliani, Fernando, et al.. (2013). A tool for controlling accelerometers. Secondary calibration data. Comptes Rendus Mécanique. 341(9-10). 687–696. 3 indexed citations
17.
Mathias, Mauro Hugo, et al.. (2012). Development of an instrumentation system embedded on FPGA for real time measurement of mechanical vibrations in rotating machinery. Acervo Digital da Universidade Estadual Paulista (Universidade Estadual Paulista). 60–64. 4 indexed citations
18.
Mathias, Mauro Hugo, et al.. (2010). Wear Particle Classifier System Based on an Artificial Neural Network. 56(4). 277–281. 16 indexed citations
19.
Mathias, Mauro Hugo, et al.. (2010). A new approach for real time fault diagnosis in induction motors based on vibration measurement. Acervo Digital da Universidade Estadual Paulista (Universidade Estadual Paulista). 1164–1168. 18 indexed citations
20.
Mathias, Mauro Hugo, et al.. (2008). A mechatronic system applied to wear particle analysis. Tribologia - Finnish Journal of Tribology. 27(4). 21–28. 1 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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