Javier González

1.8k citations
33 papers · 520 indexed · h-index 12
Topics
Gaussian Processes and Bayesian Inference (10 papers)Advanced Multi-Objective Optimization Algorithms (8 papers)Advanced Bandit Algorithms Research (4 papers)

In The Last Decade

Javier González

29 papers receiving 499 citations

Peers

Javier González
Comparison fields: 5 of 105
  • Artificial Intelligence 184
  • Molecular Biology 176
  • Computational Theory and Mathematics 98
  • Aging 89
  • Management Science and Operations Research 52
Replace Fábio Fabris with:
Fábio Fabris United Kingdom
Shixiong Zhang China
Zafer Aydın Türkiye
Sunho Lee South Korea
Stefan Wegenkittl Austria
Xiaoling Yang China
Riccardo Boscolo United States
Pritam Chanda United States
Alessandro Savino Italy
Javier González relative to Fábio Fabris United Kingdom Fábio Fabris's profile →
Citations per field
00.5×10.4×
Fábio Fabris · 1×
Citations per year

Countries citing papers authored by Javier González

Since Specialization
Citations

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

Fields of papers citing papers by Javier González

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Javier González

This figure shows the co-authorship network connecting the top 25 collaborators of Javier González. A scholar is included among the top collaborators of Javier González 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 Javier González. Javier González 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
#WorkIndexed citations
1 0
2 0
3 1
4 1
5 16
6 11
7
Multi-task causal learning with Gaussian processes
1
8
BOSS: Bayesian Optimization over String Spaces
4
9 6
10
Structured Variationally Auto-encoded Optimization.
5
11 3
12
Bayesian optimization with virtual derivative sign observations
0
13
GLASSES: Relieving The Myopia Of Bayesian Optimisation
16
14
Multi-sensor maritime monitoring for the Canadian Arctic: Case studies
3
15 0
16 98
17 27
18 1
19 15
20 2

About Javier González

Javier González is a scholar working on Aging, Artificial Intelligence and Computational Theory and Mathematics, having authored 33 papers that have together received 520 indexed citations. Recurring topics across this work include Gaussian Processes and Bayesian Inference (10 papers), Advanced Multi-Objective Optimization Algorithms (8 papers) and Advanced Bandit Algorithms Research (4 papers). The work is most often cited by research in Aging (89 citations), Computational Theory and Mathematics (98 citations) and Artificial Intelligence (184 citations). Javier González has collaborated with scholars based in United Kingdom, Germany and Spain. Frequent co-authors include Neil D. Lawrence, Zhenwen Dai, Philipp Hennig, Ernst C. Wit, Matthias Heinemann, Georges E. Janssens, Victor Guryev, Alexander Schmidt, Anne C. Meinema and Rainer Bischoff. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and SHILAP Revista de lepidopterología.

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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