Marta Avalos
Impact in
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- Sports Performance and Training
- Sports injuries and prevention
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- Cardiovascular and exercise physiology
Papers in
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- Statistical Methods and Inference 10
- Statistical Methods and Bayesian Inference 7
- Advanced Causal Inference Techniques 4
- Advanced Statistical Methods and Models 2
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- Sports Performance and Training 5
- Co-authors
- Philippe Hellard (7 shared papers)Jean‐Claude Chatard (3 shared papers)Emmanuel Lagarde (12 shared papers)David B. Pyne (2 shared papers)Yves Grandvalet (6 shared papers)Sam Doerken (1 shared paper)Martin Schumacher (1 shared paper)Ludivine Orriols (9 shared papers)
In The Last Decade
Marta Avalos
23 papers receiving 496 citations
Peers
Comparison fields: 5 of 118
- Orthopedics and Sports Medicine 246
- Complementary and alternative medicine 125
- Rehabilitation 58
- Statistics and Probability 56
- Occupational Therapy 19
Countries citing papers authored by Marta Avalos
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
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-authors
The 25 scholars most cited alongside Marta Avalos, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 71 | |
| 2 | 2019 | 69 | |
| 3 | 2003 | 64 | |
| 4 | 2011 | 50 | |
| 5 | 2006 | 44 | |
| 6 | 2017 | 38 | |
| 7 | 2005 | 29 | |
| 8 | 2010 | 25 | |
| 9 | 2006 | 24 | |
| 10 | 2015 | 22 | |
| 11 | 2012 | 21 | |
| 12 | 2017 | 14 | |
| 13 | 2013 | 12 | |
| 14 | 2018 | 12 | |
| 15 | 2012 | 7 | |
| 16 | 2021 | 5 | |
| 17 | 2021 | 5 | |
| 18 | 2019 | 4 | |
| 19 | 2014 | 2 | |
| 20 | Model selection via the lasso in conditional logistic regression | 2009 | 2 |
About Marta Avalos
Marta Avalos is a scholar working on Statistics and Probability, Orthopedics and Sports Medicine, Public Health, Environmental and Occupational Health, Safety, Risk, Reliability and Quality and Complementary and alternative medicine, having authored 25 papers that have together received 523 indexed citations. Recurring topics across this work include Statistical Methods and Inference (10 papers), Statistical Methods and Bayesian Inference (7 papers), Sports Performance and Training (5 papers), Injury Epidemiology and Prevention (5 papers), Traffic and Road Safety (4 papers), Advanced Causal Inference Techniques (4 papers), Cardiovascular and exercise physiology (4 papers) and Advanced Statistical Methods and Models (2 papers). The work is most often cited by research in Orthopedics and Sports Medicine (246 citations), Complementary and alternative medicine (125 citations), Rehabilitation (58 citations), Statistics and Probability (56 citations) and Occupational Therapy (19 citations). Marta Avalos has collaborated with scholars based in France, Australia and Japan. Frequent co-authors include Philippe Hellard, Jean‐Claude Chatard, Emmanuel Lagarde, David B. Pyne, Yves Grandvalet, Sam Doerken, Martin Schumacher, Ludivine Orriols, Jean‐François Toussaint and Grégoire P. Millet. Their work appears in journals such as Medicine & Science in Sports & Exercise, PLoS ONE, PLoS Medicine, Injury Epidemiology and Journal of Biomechanics.
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.