Abel Rodríguez

2.1k citations
67 papers · 988 · h-index 16

Impact in

    • Statistical Methods and Inference
    • Statistical Methods and Bayesian Inference
    • Bayesian Methods and Mixture Models
    • Gaussian Processes and Bayesian Inference
    • Bayesian Modeling and Causal Inference

Papers in

Abel Rodríguez

59 papers receiving 954 citations

Peers

Abel Rodríguez
Comparison fields: 5 of 119
  • Statistics and Probability 368
  • Artificial Intelligence 564
  • Computational Mathematics 10
  • Finance 90
  • Signal Processing 59
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Lancelot F. James Hong Kong
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Citations per field
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Citations per year

Countries citing papers authored by Abel Rodríguez

Since Specialization
Citations

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

Fields of papers citing papers by Abel Rodríguez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008194
2 2011110
3 201179
4 200963
5 200850
6 200950
7 201934
8 201131
9 201228
10 201027
11 201027
12 201324
13 201323
14 201021
15 201416
16 202016
17 201315
18 201613
19 200811
20 201911

About Abel Rodríguez

Abel Rodríguez is a scholar working on Statistics and Probability, Artificial Intelligence, Finance, Management Science and Operations Research and Economics and Econometrics, having authored 67 papers that have together received 988 indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (31 papers), Statistical Methods and Inference (15 papers), Statistical Methods and Bayesian Inference (10 papers), Financial Risk and Volatility Modeling (9 papers), Complex Systems and Time Series Analysis (4 papers), Complex Network Analysis Techniques (4 papers), Genomics and Phylogenetic Studies (3 papers) and Stochastic processes and financial applications (3 papers). The work is most often cited by research in Statistics and Probability (368 citations), Artificial Intelligence (564 citations), Computational Mathematics (10 citations), Finance (90 citations) and Signal Processing (59 citations). Abel Rodríguez has collaborated with scholars based in United States, Colombia and United Kingdom. Frequent co-authors include David B. Dunson, Alan E. Gelfand, Adrian Dobra, Alex Lenkoski, Enrique ter Horst, Peter Müller, Gavino Puggioni, Athanasios Kottas, Ziwei Wang and Glenn L. Millhauser. Their work appears in journals such as Bayesian Analysis, Journal of the American Statistical Association, Journal of Computational and Graphical Statistics, Journal of the Royal Statistical Society Series C (Applied Statistics) and The Annals of Applied Statistics.

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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