Luis A. Escobar

5.0k citations
76 papers · 3.4k indexed · 1 hit paper · h-index 24

Impact in

Papers in

Luis A. Escobar

71 papers receiving 3.2k citations

Hit Papers

Statistical Methods for Reliability Data 1998 · 784 citations
7841998202620072016250500750

Peers

Luis A. Escobar
Comparison fields: 5 of 177
  • Statistics and Probability 1.5k
  • Statistics, Probability and Uncertainty 1.3k
  • Safety, Risk, Reliability and Quality 1.4k
  • Software 280
  • Management Science and Operations Research 405
Replace G. À. Whitmore with:
G. À. Whitmore Canada
Ray E. Schafer United States
Martin Crowder United Kingdom
Hon Keung Tony Ng United States
Max Engelhardt United States
G. K. Bhattacharyya United States
Daniel W. Apley United States
Govind S. Mudholkar United States
Zhenzhou Lü China
Irwin Guttman Canada
Luis A. Escobar relative to G. À. Whitmore Canada G. À. Whitmore's profile →
Citations per field
00.5×2.9×
G. À. Whitmore · 1×
Citations per year

Countries citing papers authored by Luis A. Escobar

Since Specialization
Citations

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

Fields of papers citing papers by Luis A. Escobar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20220
3 20212
4 20194
5 20191
6 201812
7 20184
8 20171
9 2017140
10 20170
11 201654
12 201613
13 20151
14 201063
15 200816
16 200117
17 1994115
18 199435
19 19864
20 198612

About Luis A. Escobar

Luis A. Escobar is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Safety, Risk, Reliability and Quality, Management Science and Operations Research and Emergency Medical Services, having authored 76 papers that have together received 3.4k indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (25 papers), Probabilistic and Robust Engineering Design (20 papers), Reliability and Maintenance Optimization (19 papers), Advanced Statistical Methods and Models (9 papers), Optimal Experimental Design Methods (8 papers), Statistical Methods and Inference (7 papers), Statistical Methods and Bayesian Inference (5 papers) and Vascular Procedures and Complications (4 papers). The work is most often cited by research in Statistics and Probability (1.5k citations), Statistics, Probability and Uncertainty (1.3k citations), Safety, Risk, Reliability and Quality (1.4k citations), Software (280 citations) and Management Science and Operations Research (405 citations). Luis A. Escobar has collaborated with scholars based in United States, Colombia and Spain. Frequent co-authors include William Q. Meeker, Wayne Nelson, Gerald J. Hahn, Michèle Boulanger, Yili Hong, Vijay P. Singh, Ying Shi, James Inglis, Bradley Skarpness and Jerry W. Lewis. Their work appears in journals such as Technometrics, The American Statistician, IEEE Transactions on Reliability, Journal of Statistical Computation and Simulation and Journal of the American Statistical Association.

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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