S. Martorell

3.1k citations
109 papers · 2.4k indexed · h-index 29

Impact in

Papers in

S. Martorell

107 papers receiving 2.3k citations

Peers

S. Martorell
Comparison fields: 5 of 120
  • Statistics, Probability and Uncertainty 913
  • Safety, Risk, Reliability and Quality 1.1k
  • Software 421
  • Medical Laboratory Technology 77
  • Radiological and Ultrasound Technology 190
Replace Márcio das Chagas Moura with:
Márcio das Chagas Moura Brazil
Ray A. Waller United States
Adam S. Markowski Poland
Stan Kaplan United States
Anders L. Madsen Denmark
L.H.J. Goossens Netherlands
Sabbir Ahmed Canada
W. J. Zimmer United States
Uffe Kjærulff Denmark
Richard M. Feldman United States
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Citations per field
00.5×6.7×
Márcio das Chagas Moura · 1×
Citations per year

Countries citing papers authored by S. Martorell

Since Specialization
Citations

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

Fields of papers citing papers by S. Martorell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside S. Martorell, 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 S. Martorell Line = papers co-authored together S. Martorell links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20246
3 20242
4 20242
5 20227
6 201852
7 201815
8 20171
9 20179
10 201615
11 20152
12 201315
13 20116
14 201138
15 20103
16
Water use efficiency improvement in grapevines under Mediterranean conditions.
20102
17
Safety, reliability and risk analysis : theory, methods and applications
200929
18 20082
19 20089
20 200251

About S. Martorell

S. Martorell is a scholar working on Statistics, Probability and Uncertainty, Radiological and Ultrasound Technology, Safety, Risk, Reliability and Quality, Software and Radiation, having authored 109 papers that have together received 2.4k indexed citations. Recurring topics across this work include Risk and Safety Analysis (35 papers), Reliability and Maintenance Optimization (31 papers), Probabilistic and Robust Engineering Design (24 papers), Nuclear Engineering Thermal-Hydraulics (21 papers), Radioactivity and Radon Measurements (17 papers), Nuclear reactor physics and engineering (12 papers), Horticultural and Viticultural Research (12 papers) and Software Reliability and Analysis Research (11 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (913 citations), Safety, Risk, Reliability and Quality (1.1k citations), Software (421 citations), Medical Laboratory Technology (77 citations) and Radiological and Ultrasound Technology (190 citations). S. Martorell has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include A.I. Sánchez, V. Serradell, S. Carlos, J.F. Villanueva, Eva Doménech, Jaume Flexas, H.A. Thompson, H. Medrano, Magdalena Tomás and Miquel Ribas‐Carbó. Their work appears in journals such as Reliability Engineering & System Safety, Nuclear Engineering and Design, Food Control, Australian Journal of Grape and Wine Research and Journal of Radioanalytical and Nuclear Chemistry.

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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