Raphael Moura

21 papers receiving 318 citations

Peers

Raphael Moura
Comparison fields: 5 of 72
  • Radiological and Ultrasound Technology 187
  • Statistics, Probability and Uncertainty 193
  • Medical Laboratory Technology 38
  • Chemical Health and Safety 11
  • Radiation 54
Replace S.K. Kim with:
S.K. Kim South Korea
Joon-Eon Yang South Korea
M.G. Stamatelatos United States
Niels Jensen Denmark
Jan Holmberg Finland
Lianhua Cheng China
Andrey Povyakalo United Kingdom
Yuko Miyamoto Japan
Aleksandar Jovanović Germany
R. Filippini Italy
Raphael Moura relative to S.K. Kim South Korea S.K. Kim's profile →
Citations per field
00.5×
S.K. Kim · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Raphael Moura, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Raphael Moura Line = papers co-authored together Raphael Moura links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201572
2 201758
3 200436
4 201736
5 202132
6 202132
7 200521
8 201914
9 20099
10 20037
11 20214
12 20044
13 20193
14 20202
15 20152
16 20152
17 20092
18 20221
19 20171
20
Attempt to predict human error probability in different industry sectors using data from major accidents and Bayesian networks
20181

About Raphael Moura

Raphael Moura is a scholar working on Radiological and Ultrasound Technology, Statistics, Probability and Uncertainty, Radiation, Radiology, Nuclear Medicine and Imaging and Social Psychology, having authored 23 papers that have together received 341 indexed citations. Recurring topics across this work include Risk and Safety Analysis (11 papers), Occupational Health and Safety Research (11 papers), Medical Imaging Techniques and Applications (5 papers), Radiation Detection and Scintillator Technologies (5 papers), Human-Automation Interaction and Safety (3 papers), Quality and Safety in Healthcare (3 papers), Nuclear Physics and Applications (2 papers) and Particle Detector Development and Performance (2 papers). The work is most often cited by research in Radiological and Ultrasound Technology (187 citations), Statistics, Probability and Uncertainty (193 citations), Medical Laboratory Technology (38 citations), Chemical Health and Safety (11 citations) and Radiation (54 citations). Raphael Moura has collaborated with scholars based in United Kingdom, Germany and Portugal. Frequent co-authors include Michael Beer, Edoardo Patelli, John W. Lewis, Catarina Ortigão, L. Peralta, J. Varela, A. Trindade, Pedro Rodrigues, Silvia Tolo and Maria Grazia Pia. Their work appears in journals such as Safety Science, Journal of Instrumentation, Anais da Academia Brasileira de Ciências, Radiation Protection Dosimetry and Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment.

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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