Rosa E. Lillo

1.4k citations
97 papers · 913 · h-index 17

Impact in

Papers in

Rosa E. Lillo

91 papers receiving 885 citations

Peers

Rosa E. Lillo
Comparison fields: 5 of 120
  • Statistics and Probability 427
  • Statistics, Probability and Uncertainty 208
  • Safety, Risk, Reliability and Quality 169
  • Management Information Systems 155
  • Management Science and Operations Research 187
Replace James J. Swain with:
James J. Swain United States
S. N. U. A. Kirmani United States
James Lynch United States
Ritu Gupta India
Min‐Te Chao Taiwan
J. S. Dagpunar United Kingdom
Savaş Dayanik United States
Jie Mi United States
Mogens Bladt Denmark
Jayaram Sethuraman United States
Rosa E. Lillo relative to James J. Swain United States James J. Swain's profile →
Citations per field
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James J. Swain · 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 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201459
2 200156
3 201255
4 201435
5 200134
6 202133
7 201929
8 201024
9 200523
10 200023
11 201021
12 201519
13 201319
14 200019
15 200719
16 201817
17 201116
18 201416
19 200815
20 201014

About Rosa E. Lillo

Rosa E. Lillo is a scholar working on Statistics and Probability, Management Information Systems, Management Science and Operations Research, Statistics, Probability and Uncertainty and Artificial Intelligence, having authored 97 papers that have together received 913 indexed citations. Recurring topics across this work include Advanced Queuing Theory Analysis (24 papers), Statistical Distribution Estimation and Applications (20 papers), Probability and Risk Models (19 papers), Advanced Statistical Methods and Models (18 papers), Statistical Methods and Inference (15 papers), Reliability and Maintenance Optimization (14 papers), Advanced Statistical Process Monitoring (11 papers) and Bayesian Methods and Mixture Models (8 papers). The work is most often cited by research in Statistics and Probability (427 citations), Statistics, Probability and Uncertainty (208 citations), Safety, Risk, Reliability and Quality (169 citations), Management Information Systems (155 citations) and Management Science and Operations Research (187 citations). Rosa E. Lillo has collaborated with scholars based in Spain, United States and Italy. Frequent co-authors include Michael P. Wiper, Juan Romo, Moshe Shaked, Pepa Ramírez‐Cobo, Pedro Galeano, Belén Martín-Barragán, Nuria Torrado, Asok K. Nanda, Félix Belzunce and José M. Ruiz. Their work appears in journals such as Reliability Engineering & System Safety, Scientific Reports, Applied Stochastic Models in Business and Industry, Journal of Statistical Planning and Inference and Advances in Data Analysis and Classification.

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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