Maurício Roberto Veronez

1.8k total citations
121 papers, 934 citations indexed

About

Maurício Roberto Veronez is a scholar working on Geology, Environmental Engineering and Aerospace Engineering. According to data from OpenAlex, Maurício Roberto Veronez has authored 121 papers receiving a total of 934 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Geology, 34 papers in Environmental Engineering and 26 papers in Aerospace Engineering. Recurrent topics in Maurício Roberto Veronez's work include 3D Surveying and Cultural Heritage (35 papers), Remote Sensing and LiDAR Applications (21 papers) and GNSS positioning and interference (15 papers). Maurício Roberto Veronez is often cited by papers focused on 3D Surveying and Cultural Heritage (35 papers), Remote Sensing and LiDAR Applications (21 papers) and GNSS positioning and interference (15 papers). Maurício Roberto Veronez collaborates with scholars based in Brazil, Argentina and Italy. Maurício Roberto Veronez's co-authors include Luiz Gonzaga, Marcelo Tomio Matsuoka, Eniuce Menezes de Souza, Frederico Fábio Mauad, Francisco Manoel Wohnrath Tognoli, Daniel Capella Zanotta, Caroline Léssio Cazarin, Cláudio de Souza Kazmierczak, Luiz Paulo Luna de Oliveira and Jorge Ricardo Ducati and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Maurício Roberto Veronez

109 papers receiving 913 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maurício Roberto Veronez Brazil 16 221 175 127 118 115 121 934
Yao Yevenyo Ziggah Ghana 23 496 2.2× 249 1.4× 96 0.8× 153 1.3× 71 0.6× 102 1.5k
Luiz Gonzaga Brazil 14 133 0.6× 137 0.8× 59 0.5× 39 0.3× 109 0.9× 73 653
Sultan Kocaman Türkiye 22 296 1.3× 161 0.9× 184 1.4× 127 1.1× 96 0.8× 104 1.6k
Xin Xu China 23 306 1.4× 134 0.8× 408 3.2× 211 1.8× 91 0.8× 105 1.7k
Vladimir Badenko Russia 18 148 0.7× 140 0.8× 77 0.6× 130 1.1× 94 0.8× 93 917
Xiao Xiao China 18 86 0.4× 66 0.4× 114 0.9× 86 0.7× 89 0.8× 269 1.4k
Zhonghua Hong China 20 370 1.7× 190 1.1× 358 2.8× 115 1.0× 29 0.3× 106 1.4k
Linlin Xu Canada 24 404 1.8× 78 0.4× 180 1.4× 219 1.9× 81 0.7× 152 2.1k
Mariusz Specht Poland 22 355 1.6× 221 1.3× 469 3.7× 71 0.6× 29 0.3× 86 1.3k

Countries citing papers authored by Maurício Roberto Veronez

Since Specialization
Citations

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

Fields of papers citing papers by Maurício Roberto Veronez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maurício Roberto Veronez. 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 Maurício Roberto Veronez. The network helps show where Maurício Roberto Veronez may publish in the future.

Co-authorship network of co-authors of Maurício Roberto Veronez

This figure shows the co-authorship network connecting the top 25 collaborators of Maurício Roberto Veronez. A scholar is included among the top collaborators of Maurício Roberto Veronez 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 Maurício Roberto Veronez. Maurício Roberto Veronez 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.
Zanotta, Daniel Capella, et al.. (2024). Indirect Calibration of Hyperspectral Images Using Rock Samples. 1–5.
2.
Cagliari, Joice, et al.. (2024). A Lithological Classification Model Based on Fourier Neural Operators and Channel-Wise Self-Attention. IEEE Geoscience and Remote Sensing Letters. 21. 1–5. 1 indexed citations
3.
Souza, Eniuce Menezes de, et al.. (2023). Improving geometric road design through a virtual reality visualization technique. SHILAP Revista de lepidopterología. 31(1). e2838–e2838.
4.
Gonzaga, Luiz, et al.. (2023). Spatial Audio in Virtual Reality: A systematic review. 264–268. 10 indexed citations
5.
Gonzaga, Luiz, et al.. (2023). Metaheuristic-based stochastic models for GNSS relative positioning planning. GPS Solutions. 28(1). 1 indexed citations
6.
Souza, Eniuce Menezes de, et al.. (2022). Driver behavior analysis on a curve through immersive simulation and a segmented regression model. SHILAP Revista de lepidopterología. 30(1). 2548–2548. 1 indexed citations
7.
Spigolon, André Luiz Durante, et al.. (2022). A Nondestructive Alternative for Kerogen Type Determination in Potential Hydrocarbon Source Rocks Using Hyperspectral Data and Machine Learning. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 15. 6418–6431. 1 indexed citations
8.
Zanotta, Daniel Capella, Alexandre X. Falcão, Raquel Quadros Velloso, et al.. (2022). Hyperspectral data as a proxy for porosity estimation of carbonate rocks. Australian Journal of Earth Sciences. 69(6). 861–875. 2 indexed citations
9.
Zanotta, Daniel Capella, et al.. (2022). Adaptive Segmentation for Discontinuity Detection on Karstified Carbonate Outcrop Images From UAV-SfM Acquisition and Detection Bias Analysis. IEEE Access. 10. 20514–20526. 8 indexed citations
10.
Matsuoka, Marcelo Tomio, et al.. (2021). An artificial neural network-based critical values for multiple hypothesis testing: data-snooping case. Survey Review. 54(386). 440–455. 2 indexed citations
11.
Matsuoka, Marcelo Tomio, et al.. (2020). Control Points Selection Based on Maximum External Reliability for Designing Geodetic Networks. Applied Sciences. 10(2). 687–687. 5 indexed citations
12.
Souza, Eniuce Menezes de, et al.. (2019). Prediction of chlorophyll-a and suspended solids through remote sensing and artificial neural networks. 1–6. 6 indexed citations
13.
14.
Gonzaga, Luiz, et al.. (2019). Robust Estimators in Geodetic Networks Based on a New Metaheuristic: Independent Vortices Search. Sensors. 19(20). 4535–4535. 10 indexed citations
15.
Matsuoka, Marcelo Tomio, et al.. (2018). A new relationship between the quality criteria for geodetic networks. Journal of Geodesy. 93(4). 529–544. 19 indexed citations
16.
Oliveira, Marcelo Zagonel de, Mariana Jobim, Luiz Gonzaga, et al.. (2018). Spatial analyzes of HLA data in Rio Grande do Sul, south Brazil: genetic structure and possible correlation with autoimmune diseases. International Journal of Health Geographics. 17(1). 34–34. 8 indexed citations
17.
Ducati, Jorge Ricardo, et al.. (2014). Monitoring Heat Waves and Their Impacts on Summer Crop Development in Southern Brazil. Agricultural Sciences. 5(4). 353–364. 13 indexed citations
18.
Veronez, Maurício Roberto, et al.. (2014). Evaluating the Thermal Spatial Distribution Signature for Environmental Management and Vegetation Health Monitoring. International Journal of Advanced Remote Sensing and GIS. 3(1). 433–445. 6 indexed citations
19.
Ferrari, Fabiano Cutigi, et al.. (2012). Visualização e interpretação de modelos digitais de afloramentos utilizando laser scanner terrestre. Americanae (AECID Library). 31(1). 79–91. 3 indexed citations
20.
Veronez, Maurício Roberto, et al.. (2007). Modelo ionosférico regional aplicado ao Sistema de Posicionamento Global – GPS. 3(1). 18–26. 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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