S. Carlos

1.0k citations
45 papers · 871 · h-index 16

Impact in

Papers in

S. Carlos

42 papers receiving 837 citations

Peers

S. Carlos
Comparison fields: 5 of 75
  • Statistics, Probability and Uncertainty 420
  • Safety, Risk, Reliability and Quality 466
  • Software 192
  • Medical Laboratory Technology 30
  • Aerospace Engineering 230
Replace Vasiliy Krivtsov with:
Vasiliy Krivtsov United States
Jezdimir Knežević United Kingdom
Jingyuan Shen China
Walter Schön France
Kyungmee O. Kim South Korea
A. Srividya India
Bei Wu China
A. H. S. Garmabaki Sweden
Lucio Compagno Italy
S. Carlos relative to Vasiliy Krivtsov United States Vasiliy Krivtsov's profile →
Citations per field
00.5×8.2×
Vasiliy Krivtsov · 1×
Citations per year

Countries citing papers authored by S. Carlos

Since Specialization
Citations

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

Fields of papers citing papers by S. Carlos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside S. Carlos, 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. Carlos Line = papers co-authored together S. Carlos links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000106
2 200490
3 200484
4 200769
5 200253
6 201852
7 201247
8 200634
9 201032
10 200630
11 200226
12 201721
13 200820
14 201316
15 202316
16 201216
17 201413
18 201312
19 201412
20 201712

About S. Carlos

S. Carlos is a scholar working on Statistics, Probability and Uncertainty, Aerospace Engineering, Safety, Risk, Reliability and Quality, Control and Systems Engineering and Materials Chemistry, having authored 45 papers that have together received 871 indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (17 papers), Nuclear Engineering Thermal-Hydraulics (16 papers), Risk and Safety Analysis (15 papers), Reliability and Maintenance Optimization (15 papers), Nuclear reactor physics and engineering (11 papers), Software Reliability and Analysis Research (6 papers), Nuclear Materials and Properties (5 papers) and Fault Detection and Control Systems (5 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (420 citations), Safety, Risk, Reliability and Quality (466 citations), Software (192 citations), Medical Laboratory Technology (30 citations) and Aerospace Engineering (230 citations). S. Carlos has collaborated with scholars based in Spain, Belgium and Russia. Frequent co-authors include S. Martorell, A.I. Sánchez, V. Serradell, J.F. Villanueva, Á. Sánchez, José Luis Pitarch, D. Ginestar, Marko Čepin, Daniel E. Salazar and Blas Galván. Their work appears in journals such as Reliability Engineering & System Safety, Nuclear Engineering and Design, Progress in Nuclear Energy, Mathematical and Computer Modelling and Annals of Nuclear Energy.

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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