Luis Barberá

23 papers receiving 215 citations

Peers

Luis Barberá
Comparison fields: 5 of 59
  • Medical Laboratory Technology 36
  • Safety, Risk, Reliability and Quality 96
  • Statistics, Probability and Uncertainty 36
  • Software 18
  • Management Information Systems 39
Replace Vicente González-Prida with:
Vicente González-Prida Spain
Pablo Viveros Chile
Jan Braaksma Netherlands
Darko Louit Chile
Thomas G. Yeung France
Tomasz Nowakowski Poland
Ayse Sena Eruguz Netherlands
Biao Lu China
M.C. Eti United Kingdom
Elifcan Göçmen Türkiye
Luis Barberá relative to Vicente González-Prida Spain Vicente González-Prida's profile →
Citations per field
00.5×1.6×
Vicente González-Prida · 1×
Citations per year

Countries citing papers authored by Luis Barberá

Since Specialization
Citations

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

Fields of papers citing papers by Luis Barberá

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Luis Barberá, 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 Luis Barberá Line = papers co-authored together Luis Barberá 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 201233
2 201230
3 201223
4 201218
5 201418
6 201418
7 201312
8 201312
9 201212
10 201610
11 20147
12 20136
13 20155
14 20104
15 20164
16 20124
17 20133
18 20122
19 20211
20 20121

About Luis Barberá

Luis Barberá is a scholar working on Safety, Risk, Reliability and Quality, Medical Laboratory Technology, Statistics, Probability and Uncertainty, Accounting and Management Information Systems, having authored 23 papers that have together received 226 indexed citations. Recurring topics across this work include Reliability and Maintenance Optimization (12 papers), Quality and Safety in Healthcare (8 papers), Life Cycle Costing Analysis (5 papers), Quality and Supply Management (3 papers), Risk and Safety Analysis (3 papers), Technology Assessment and Management (3 papers), Manufacturing Process and Optimization (2 papers) and Multi-Criteria Decision Making (2 papers). The work is most often cited by research in Medical Laboratory Technology (36 citations), Safety, Risk, Reliability and Quality (96 citations), Statistics, Probability and Uncertainty (36 citations), Software (18 citations) and Management Information Systems (39 citations). Luis Barberá has collaborated with scholars based in Spain, Chile and Italy. Frequent co-authors include Adolfo Crespo Márquez, Pablo Viveros, Vicente González-Prida, Fredy Kristjanpoller, Juan F. Gómez Fernández, Luca Fumagalli, Marco Macchi, Maria Holgado, Antonio Guillén and Antônio Vanderley Herrero Sola. Their work appears in journals such as Quality and Reliability Engineering International, Reliability Engineering & System Safety, Journal of Manufacturing Technology Management, Renewable Energy and IMA Journal of Management Mathematics.

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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