Xavier de Luna

2.0k citations
68 papers · 1.1k indexed · h-index 16
Topics
Statistical Methods and Inference (24 papers)Advanced Causal Inference Techniques (20 papers)Statistical Methods and Bayesian Inference (18 papers)
Journals
Journal of NeuroscienceSHILAP Revista de lepidopterologíaThe Journal of Immunology

In The Last Decade

Xavier de Luna

66 papers receiving 1.1k citations

Peers

Xavier de Luna
Comparison fields: 5 of 131
  • Cognitive Neuroscience 255
  • Statistics and Probability 228
  • Psychiatry and Mental health 188
  • Economics and Econometrics 175
  • General Health Professions 97
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Citations per field
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Citations per year

Countries citing papers authored by Xavier de Luna

Since Specialization
Citations

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

Fields of papers citing papers by Xavier de Luna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xavier de Luna. 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 Xavier de Luna. The network helps show where Xavier de Luna may publish in the future.

Co-authorship network of co-authors of Xavier de Luna

This figure shows the co-authorship network connecting the top 25 collaborators of Xavier de Luna. A scholar is included among the top collaborators of Xavier de Luna 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 Xavier de Luna. Xavier de Luna 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 2
3 15
4 39
5 5
6 4
7 11
8 32
9 15
10 5
11
Data-driven Algorithms for Dimension Reduction in Causal Inference: analyzing the effect of school achievements on acute complications of type 1 diabetes mellitus
2
12 90
13 2
14 2
15 35
16
Comment on "Maximum likelihood estimation in semiparametric regression models with censored data" by D. Zeng and D.Y. Lin
1
17
Comment on Maximum likelihood estimation in semiparametric regression models with censored data by Zeng and D.Y. Lin
1
18
Predictive spatio-temporal models for spatially sparse environmental data
49
19 4
20
Generalized Method of Moment and Indirect Estimation of the ARASMA Model
4

About Xavier de Luna

Xavier de Luna is a scholar working on Statistics and Probability, Health and Neuropsychology and Physiological Psychology, having authored 68 papers that have together received 1.1k indexed citations. Recurring topics across this work include Statistical Methods and Inference (24 papers), Advanced Causal Inference Techniques (20 papers) and Statistical Methods and Bayesian Inference (18 papers). The work is most often cited by research in Statistics and Probability (228 citations), Neuropsychology and Physiological Psychology (42 citations) and Cognitive Neuroscience (255 citations). Xavier de Luna has collaborated with scholars based in Sweden, United States and Germany. Frequent co-authors include Lars Nyberg, Maria Josefsson, Sara Pudas, Lars‐Göran Nilsson, Marc G. Genton, Ingeborg Waernbaum, Thomas S. Richardson, Per Johansson, Tetiana Gorbach and Kevan L. Hartshorn. Their work appears in journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and The Journal of Immunology.

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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