Raphael Moura

638 total citations
23 papers, 341 citations indexed

About

Raphael Moura is a scholar working on Radiological and Ultrasound Technology, Statistics, Probability and Uncertainty and Radiation. According to data from OpenAlex, Raphael Moura has authored 23 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Radiological and Ultrasound Technology, 11 papers in Statistics, Probability and Uncertainty and 5 papers in Radiation. Recurrent topics in Raphael Moura's work include Occupational Health and Safety Research (11 papers), Risk and Safety Analysis (11 papers) and Medical Imaging Techniques and Applications (5 papers). Raphael Moura is often cited by papers focused on Occupational Health and Safety Research (11 papers), Risk and Safety Analysis (11 papers) and Medical Imaging Techniques and Applications (5 papers). Raphael Moura collaborates with scholars based in United Kingdom, Germany and Portugal. Raphael Moura's co-authors include Michael Beer, Edoardo Patelli, John W. Lewis, Catarina Ortigão, Pedro Rodrigues, J. Varela, L. Peralta, A. Trindade, Silvia Tolo and Karl Johnson and has published in prestigious journals such as Reliability Engineering & System Safety, Safety Science and Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment.

In The Last Decade

Raphael Moura

21 papers receiving 318 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Raphael Moura United Kingdom 9 193 187 54 45 38 23 341
S.K. Kim South Korea 11 150 0.8× 122 0.7× 6 0.1× 7 0.2× 37 342
Andrey Povyakalo United Kingdom 10 58 0.3× 19 0.1× 58 1.3× 12 0.3× 23 312
M.G. Stamatelatos United States 6 96 0.5× 22 0.1× 10 0.2× 1 0.0× 8 0.2× 21 230
Joon-Eon Yang South Korea 13 317 1.6× 51 0.3× 10 0.2× 1 0.0× 3 0.1× 37 493
Jan Holmberg Finland 10 62 0.3× 23 0.1× 10 0.2× 7 0.2× 47 319
Aleksandar Jovanović Germany 10 104 0.5× 49 0.3× 2 0.0× 10 0.3× 50 357
Lianhua Cheng China 9 81 0.4× 78 0.4× 14 0.4× 28 317
S. Gallardo Spain 13 10 0.1× 61 0.3× 173 3.2× 67 1.5× 91 508
Yuko Miyamoto Japan 9 93 0.5× 63 0.3× 1 0.0× 1 0.0× 12 0.3× 18 244
Joshua J. Cogliati United States 12 51 0.3× 5 0.0× 38 0.7× 26 0.6× 31 259

Countries citing papers authored by Raphael Moura

Since Specialization
Citations

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

Fields of papers citing papers by Raphael Moura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Raphael Moura. 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 Raphael Moura. The network helps show where Raphael Moura may publish in the future.

Co-authorship network of co-authors of Raphael Moura

This figure shows the co-authorship network connecting the top 25 collaborators of Raphael Moura. A scholar is included among the top collaborators of Raphael Moura 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 Raphael Moura. Raphael Moura 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.
Moura, Raphael, et al.. (2024). Alternative Measurement for Inserting Peripherally Inserted Central Catheters in NeonatesCE. Journal of the Association for Vascular Access. 29(4). 33–38.
2.
Moura, Raphael, et al.. (2022). Lessons learned from a mystery oil spill that hit the Brazilian coast in 2019. Anais da Academia Brasileira de Ciências. 94(suppl 2). e20210309–e20210309. 1 indexed citations
3.
Moura, Raphael, Michael Beer, Gilberto Francisco Martha de Souza, & Edoardo Patelli. (2022). Special Section on Decommissioning and Life Extension of Complex Industrial Assets. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part B Mechanical Engineering. 8(4). 1 indexed citations
4.
Johnson, Karl, et al.. (2021). Identification of human errors and influencing factors: A machine learning approach. Safety Science. 146. 105528–105528. 32 indexed citations
5.
Tolo, Silvia, et al.. (2021). Robust data-driven human reliability analysis using credal networks. Reliability Engineering & System Safety. 218. 107990–107990. 32 indexed citations
6.
Ferson, Scott, et al.. (2021). Handling the Uncertainty with Confidence in Human Reliability Analysis. Proceedings of the 31st European Safety and Reliability Conference (ESREL 2021). 3312–3318. 4 indexed citations
7.
Moura, Raphael, Martin Claus, & Stefan Blawid. (2020). Multi-mode nanoFETs: From low power to high performance on demand. Semiconductor Science and Technology. 35(5). 55027–55027. 2 indexed citations
8.
Tolo, Silvia, et al.. (2019). Tackling the Lack of Data for Human Error Probability with Credal Network. Proceedings of the 29th European Safety and Reliability Conference (ESREL). 382–386. 3 indexed citations
9.
Moura, Raphael, et al.. (2018). Attempt to predict human error probability in different industry sectors using data from major accidents and Bayesian networks. Strathprints: The University of Strathclyde institutional repository (University of Strathclyde). 1 indexed citations
10.
11.
Moura, Raphael, et al.. (2015). Analysis of a major-accident dataset by Association Rule Mining to minimise unsafe interfaces. 218–230. 2 indexed citations
12.
Moura, Raphael, et al.. (2015). A Clustering Approach to a Major-Accident Data Set: Analysis of Key Interactions to Minimise Human Errors. 1. 1838–1843. 1 indexed citations
13.
Moura, Raphael, et al.. (2015). Learning from major accidents to improve system design. Safety Science. 84. 37–45. 72 indexed citations
14.
Moura, Raphael, Michael Beer, John W. Lewis, & Edoardo Patelli. (2015). Learning from accidents : analysis and representation of human errors in multi-attribute events. Open Collections. 2 indexed citations
15.
Bugalho, R., Miguel Ferreira, Raphael Moura, et al.. (2009). Characterization of avalanche photodiode arrays for the ClearPEM and ClearPEM-Sonic scanners. Journal of Instrumentation. 4(9). P09009–P09009. 2 indexed citations
16.
Bugalho, R., Miguel Ferreira, Raphael Moura, et al.. (2009). Experimental characterization of the Clear-PEM scanner spectrometric performance. Journal of Instrumentation. 4(10). P10011–P10011. 9 indexed citations
17.
Abreu, M.C., P. Almeida, Nuno C. Ferreira, et al.. (2005). Clear-PEM: A dedicated pet camera for improved breast cancer detection. Radiation Protection Dosimetry. 116(1-4). 208–210. 21 indexed citations
18.
Ribeiro, R., P. Almeida, P. Bordalo, et al.. (2004). Breast imaging with a dedicated PEM. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 527(1-2). 87–91. 4 indexed citations
19.
Rodrigues, Pedro, Raphael Moura, Catarina Ortigão, et al.. (2004). Geant4 applications and developments for medical physics experiments. IEEE Transactions on Nuclear Science. 51(4). 1412–1419. 36 indexed citations
20.
Trindade, A., P. Almeida, Nuno C. Ferreira, et al.. (2003). Clear-PEM: Monte Carlo performance and image reconstruction studies. 2003 IEEE Nuclear Science Symposium. Conference Record (IEEE Cat. No.03CH37515). 28. 1918–1922 Vol.3. 7 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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