Marta Avalos

895 total citations
25 papers, 523 citations indexed

About

Marta Avalos is a scholar working on Statistics and Probability, Orthopedics and Sports Medicine and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Marta Avalos has authored 25 papers receiving a total of 523 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Statistics and Probability, 6 papers in Orthopedics and Sports Medicine and 5 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Marta Avalos's work include Statistical Methods and Inference (10 papers), Statistical Methods and Bayesian Inference (7 papers) and Sports Performance and Training (5 papers). Marta Avalos is often cited by papers focused on Statistical Methods and Inference (10 papers), Statistical Methods and Bayesian Inference (7 papers) and Sports Performance and Training (5 papers). Marta Avalos collaborates with scholars based in France, Chile and Australia. Marta Avalos's co-authors include Philippe Hellard, Jean‐Claude Chatard, Emmanuel Lagarde, David B. Pyne, Yves Grandvalet, Martin Schumacher, Sam Doerken, Jean‐François Toussaint, Ludivine Orriols and Grégoire P. Millet and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Medicine & Science in Sports & Exercise.

In The Last Decade

Marta Avalos

23 papers receiving 496 citations

Peers

Marta Avalos
Comparison fields: 5 of 118
  • Orthopedics and Sports Medicine 246
  • Complementary and alternative medicine 125
  • Cardiology and Cardiovascular Medicine 75
  • Biomedical Engineering 63
  • Rehabilitation 58
Replace Philip Davis with:
Philip Davis Tunisia
Dan Weaving United Kingdom
Matthias Borowski Germany
Jae-Hyeon Park South Korea
Eduardo Báez-San Martín Chile
Matthias Alexander Zingg Switzerland
Mark Roe Ireland
Dan Stieper Karbing Denmark
Blagoi Marinov Bulgaria
Sergio Hernández-Sánchez Spain
Philip Davis Tunisia View profile →
Citations per field, relative to Marta Avalos
Marta Avalos · 1×
Citations per year, relative to Marta Avalos
Marta Avalos · 1×

Countries citing papers authored by Marta Avalos

Since Specialization
Citations

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

Fields of papers citing papers by Marta Avalos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marta Avalos

This figure shows the co-authorship network connecting the top 25 collaborators of Marta Avalos. A scholar is included among the top collaborators of Marta Avalos 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 Marta Avalos. Marta Avalos 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
# Work Indexed citations
1 0
2 0
3 1
4 5
5 1
6 5
7 69
8 4
9 12
10 14
11 71
12 2
13 12
14 21
15 50
16 25
17
Sélection de variables avec lasso dans la régression logistique conditionnelle
1
18 44
19 29
20 64

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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