Rosa E. Lillo

1.5k citations
91 papers · 872 indexed · h-index 16

Impact in

Papers in

Rosa E. Lillo

87 papers receiving 842 citations

Peers

Rosa E. Lillo
Comparison fields: 5 of 127
  • Statistics and Probability 388
  • Statistics, Probability and Uncertainty 187
  • Safety, Risk, Reliability and Quality 147
  • Management Information Systems 143
  • Management Science and Operations Research 180
Replace Warren Gilchrist with:
Warren Gilchrist United Kingdom
Min‐Te Chao Taiwan
S. N. U. A. Kirmani United States
J. S. Dagpunar United Kingdom
James Lynch United States
Huda M. Alshanbari Saudi Arabia
Lu Lu United States
John S. Ramberg United States
Jong‐Wuu Wu Taiwan
Jayaram Sethuraman United States
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Citations per field
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Warren Gilchrist · 1×
Citations per year

Countries citing papers authored by Rosa E. Lillo

Since Specialization
Citations

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

Fields of papers citing papers by Rosa E. Lillo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rosa E. Lillo. 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 Rosa E. Lillo. The network helps show where Rosa E. Lillo may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Multivariate outlier detection based on a robust Mahalanobis distance with shrinkage estimators
201758
2 201452
3 200151
4 201249
5 201432
6 202131
7 200130
8 201926
9 201023
10 200520
11 201020
12 201519
13 200018
14 200718
15 201316
16 201815
17 200815
18 201414
19 201114
20 202113

About Rosa E. Lillo

Rosa E. Lillo is a scholar working on Statistics and Probability, Management Information Systems, Statistics, Probability and Uncertainty, Management Science and Operations Research and Safety, Risk, Reliability and Quality, having authored 91 papers that have together received 872 indexed citations. Recurring topics across this work include Advanced Queuing Theory Analysis (24 papers), Probability and Risk Models (19 papers), Statistical Distribution Estimation and Applications (18 papers), Advanced Statistical Methods and Models (17 papers), Statistical Methods and Inference (15 papers), Reliability and Maintenance Optimization (14 papers), Advanced Statistical Process Monitoring (10 papers) and Probabilistic and Robust Engineering Design (7 papers). The work is most often cited by research in Statistics and Probability (388 citations), Statistics, Probability and Uncertainty (187 citations), Safety, Risk, Reliability and Quality (147 citations), Management Information Systems (143 citations) and Management Science and Operations Research (180 citations). Rosa E. Lillo has collaborated with scholars based in Spain, Italy and United States. Frequent co-authors include Michael P. Wiper, Juan Romo, Pepa Ramírez‐Cobo, Moshe Shaked, Pedro Galeano, Belén Martín-Barragán, Nuria Torrado, Félix Belzunce, José M. Ruiz and M. Concepción Ausín. Their work appears in journals such as Reliability Engineering & System Safety, Scientific Reports, Advances in Data Analysis and Classification, Journal of Statistical Planning and Inference and European Journal of Operational Research.

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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