David Rı́os Insua

5.2k citations
137 papers · 2.4k indexed · h-index 27

David Rı́os Insua

125 papers receiving 2.2k citations

Peers

David Rı́os Insua
Comparison fields: 5 of 157
  • Statistics, Probability and Uncertainty 481
  • General Decision Sciences 109
  • Management Science and Operations Research 665
  • Statistics and Probability 341
  • Artificial Intelligence 638
Replace Prakash P. Shenoy with:
Prakash P. Shenoy United States
Ahti Salo Finland
James Matheson United States
Alistair Smith United Kingdom
Fabrizio Ruggeri Italy
Milan Zelený United States
Alexis Tsoukiàs France
Vicki M. Bier United States
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Harry V. Roberts United States
David Rı́os Insua relative to Prakash P. Shenoy United States Prakash P. Shenoy's profile →
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Citations per year

Countries citing papers authored by David Rı́os Insua

Since Specialization
Citations

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

Fields of papers citing papers by David Rı́os Insua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Rı́os Insua. 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 David Rı́os Insua. The network helps show where David Rı́os Insua may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20245
4 20242
5 20244
6 20234
7 202138
8 20192
9 20193
10 201830
11 20171
12
AIsoy 1: A Robot that Perceives, Feels and Makes Decisions.
20111
13
An Adversarial Risk Analysis Model for an Emotional Based Decision Agent
20110
14 200721
15
Más allá del gobierno electrónico: hacia la democracia electrónica
20040
16
Optimal alternative roustnesss in Bayesian Decision Theory
20031
17
Approximate Solutions of Complex Influence Diagrams through MCMC Methods.
20026
18
Bayesian methods in Hydrology: A review
20022
19
Statistical decision theory
2000165
20
Bayesian inference and optimal release times: for two software failure models
19981

About David Rı́os Insua

David Rı́os Insua is a scholar working on Statistics, Probability and Uncertainty, General Decision Sciences and Software, having authored 137 papers that have together received 2.4k indexed citations. Recurring topics across this work include Risk and Safety Analysis (27 papers), Infrastructure Resilience and Vulnerability Analysis (17 papers), Bayesian Modeling and Causal Inference (16 papers), Adversarial Robustness in Machine Learning (13 papers), Information and Cyber Security (12 papers), Software Reliability and Analysis Research (10 papers), Probabilistic and Robust Engineering Design (9 papers) and Advanced Statistical Process Monitoring (7 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (481 citations), General Decision Sciences (109 citations) and Management Science and Operations Research (665 citations). David Rı́os Insua has collaborated with scholars based in Spain, United States and Italy. Frequent co-authors include Simon French, Fabrizio Ruggeri, Jesús Ríos, David Banks, Peter Müller, Michael P. Wiper, Concha Bielza, J. Martı́n, José M. Bernardo and Javier A. V. Muñoz. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Technometrics.

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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