Antonio Salmerón

2.9k total citations · 1 hit paper
88 papers, 1.6k citations indexed

About

Antonio Salmerón is a scholar working on Artificial Intelligence, Signal Processing and Management Science and Operations Research. According to data from OpenAlex, Antonio Salmerón has authored 88 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Artificial Intelligence, 24 papers in Signal Processing and 17 papers in Management Science and Operations Research. Recurrent topics in Antonio Salmerón's work include Bayesian Modeling and Causal Inference (62 papers), Data Management and Algorithms (19 papers) and Bayesian Methods and Mixture Models (17 papers). Antonio Salmerón is often cited by papers focused on Bayesian Modeling and Causal Inference (62 papers), Data Management and Algorithms (19 papers) and Bayesian Methods and Mixture Models (17 papers). Antonio Salmerón collaborates with scholars based in Spain, Denmark and Norway. Antonio Salmerón's co-authors include Rafael Rumí, Pedro A. Aguilera, Antonio Fernández, Rosa Fernández, Serafı́n Moral, Helge Langseth, Thomas D. Nielsen, Fabio Stella, Mauro Scanagatta and Andrés Cano and has published in prestigious journals such as International Journal of Production Economics, BMC Genomics and Decision Support Systems.

In The Last Decade

Antonio Salmerón

84 papers receiving 1.5k citations

Hit Papers

Bayesian networks in environmental modelling 2011 2026 2016 2021 2011 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Bayesian networks in environmental modelling
    2011 496 citations Pedro A. Aguilera, Rafael Rumí et al. profile →

Peers

Antonio Salmerón
Anders L. Madsen Denmark
Rafael Rumí Spain
Thomas Bartz–Beielstein Germany
Kjersti Aas Norway
Nelson F. F. Ebecken Brazil
Gordon J. Ross United Kingdom
Manuel Febrero–Bande Spain
Peter Young United Kingdom
Ivan Kojadinovic France
M. Teresa Lamata Spain
Anders L. Madsen Denmark
Antonio Salmerón
Citations per year, relative to Antonio Salmerón Antonio Salmerón (= 1×) peers Anders L. Madsen

Countries citing papers authored by Antonio Salmerón

Since Specialization
Citations

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

Fields of papers citing papers by Antonio Salmerón

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Antonio Salmerón

This figure shows the co-authorship network connecting the top 25 collaborators of Antonio Salmerón. A scholar is included among the top collaborators of Antonio Salmerón based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Antonio Salmerón. Antonio Salmerón is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Langseth, Helge, et al.. (2025). Divide and conquer for causal computation. International Journal of Approximate Reasoning. 186. 109520–109520.
2.
Maldonado, Ana D., et al.. (2025). Bayesian networks for causal analysis in socioecological systems. Ecological Informatics. 89. 103173–103173. 1 indexed citations
3.
4.
Salmerón, Antonio, et al.. (2024). Plastid DNA is a major source of nuclear genome complexity and of RNA genes in the orphan crop moringa. BMC Plant Biology. 24(1). 437–437. 2 indexed citations
5.
Martínez‐Fernández, Silverio, et al.. (2023). Bayesian Network analysis of software logs for data‐driven software maintenance. IET Software. 17(3). 268–286. 1 indexed citations
6.
Maldonado, Ana D., et al.. (2021). A Soft Clustering Approach to Detect Socio-Ecological Landscape Boundaries Using Bayesian Networks. Agronomy. 11(4). 740–740. 3 indexed citations
7.
Langseth, Helge, et al.. (2021). Probabilistic Models with Deep Neural Networks. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 8 indexed citations
8.
Salmerón, Antonio, et al.. (2020). InferPy: Probabilistic modeling with deep neural networks made easy. Repositorio de Patentes de la Universidad de Almería (Universidad de Almería). 2 indexed citations
9.
Scanagatta, Mauro, Antonio Salmerón, & Fabio Stella. (2019). A survey on Bayesian network structure learning from data. Progress in Artificial Intelligence. 8(4). 425–439. 156 indexed citations
10.
Langseth, Helge, et al.. (2013). Learning mixtures of truncated basis functions from data. International Journal of Approximate Reasoning. 55(4). 940–956. 20 indexed citations
11.
Langseth, Helge, Thomas D. Nielsen, Rafael Rumí, & Antonio Salmerón. (2011). Mixtures of truncated basis functions. International Journal of Approximate Reasoning. 53(2). 212–227. 48 indexed citations
12.
Nielsen, Jens Frederik Dalsgaard, José A. Gámez, & Antonio Salmerón. (2011). Modelling and inference with Conditional Gaussian Probabilistic Decision Graphs. International Journal of Approximate Reasoning. 53(7). 929–945. 2 indexed citations
13.
Salmerón, Antonio, et al.. (2010). Conditional Gaussian Probabilistic Decision Graphs. The Florida AI Research Society. 2 indexed citations
14.
Nielsen, Jens Perch, Rafael Rumí, & Antonio Salmerón. (2007). El Clasificador Grafo de Decisión Probabilístico. 273. 1 indexed citations
15.
Gámez, José A., Rafael Rumí, & Antonio Salmerón. (2006). Unsupervised naive Bayes for data clustering with mixtures of truncated exponentials. 123–130. 4 indexed citations
16.
Rodríguez, Carmelo, et al.. (2006). Dynamic importance sampling in Bayesian networks using factorisation of probability trees.. 187–194. 2 indexed citations
17.
Rumí, Rafael, et al.. (2005). Learning hybrid Bayesian networks using mixtures of truncated exponentials. International Journal of Approximate Reasoning. 42(1-2). 54–68. 40 indexed citations
18.
Gámez, José A., et al.. (2004). Advances in Bayesian Networks (Studies in Fuzziness and Soft Computing, V. 146). Springer eBooks. 4 indexed citations
19.
Moral, Serafı́n, Rafael Rumí, & Antonio Salmerón. (2002). Estimating mixtures of truncated exponentials from data. Repositorio de Patentes de la Universidad de Almería (Universidad de Almería). 15 indexed citations
20.
Salmerón, Antonio, et al.. (1999). Towards an Operational Interpretation of Fuzzy Measures.. 312–318. 2 indexed citations

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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