Florian Naudet

4.4k total citations · 1 hit paper
131 papers, 2.1k citations indexed

About

Florian Naudet is a scholar working on Statistics, Probability and Uncertainty, Public Health, Environmental and Occupational Health and Economics and Econometrics. According to data from OpenAlex, Florian Naudet has authored 131 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Statistics, Probability and Uncertainty, 36 papers in Public Health, Environmental and Occupational Health and 24 papers in Economics and Econometrics. Recurrent topics in Florian Naudet's work include Meta-analysis and systematic reviews (36 papers), Health Systems, Economic Evaluations, Quality of Life (22 papers) and Treatment of Major Depression (19 papers). Florian Naudet is often cited by papers focused on Meta-analysis and systematic reviews (36 papers), Health Systems, Economic Evaluations, Quality of Life (22 papers) and Treatment of Major Depression (19 papers). Florian Naudet collaborates with scholars based in France, United States and Italy. Florian Naudet's co-authors include Ioana A. Cristea, John P. A. Ioannidis, David Moher, Clément Palpacuer, Steven N. Goodman, Frank Miedema, Bruno Laviolle, Bruno Falissard, Dominique Drapier and Marc Vérin and has published in prestigious journals such as Nature Medicine, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Florian Naudet

122 papers receiving 2.0k citations

Hit Papers

Assessing scientists for hiring, promotion, and tenure 2018 2026 2020 2023 2018 50 100 150 200
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. Assessing scientists for hiring, promotion, and tenure
    2018 232 citations David Moher, Florian Naudet et al. PLoS Biology profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Florian Naudet France 24 394 359 251 226 224 131 2.1k
Mette T. Haahr Denmark 9 963 2.4× 494 1.4× 130 0.5× 543 2.4× 79 0.4× 10 1.9k
Danielle B. Rice Canada 19 294 0.7× 252 0.7× 70 0.3× 66 0.3× 187 0.8× 96 1.4k
Tapan Mehta United States 29 75 0.2× 583 1.6× 133 0.5× 40 0.2× 154 0.7× 104 3.2k
Christopher Baethge Germany 32 162 0.4× 295 0.8× 430 1.7× 103 0.5× 657 2.9× 125 4.1k
Myron Genel United States 34 109 0.3× 810 2.3× 111 0.4× 308 1.4× 146 0.7× 117 4.8k
Kirby Lee United States 14 332 0.8× 267 0.7× 29 0.1× 259 1.1× 61 0.3× 19 1.2k
Qing-Hui Zhou China 24 217 0.6× 259 0.7× 63 0.3× 78 0.3× 19 0.1× 59 1.8k
Bruce Rasmussen Australia 11 67 0.2× 243 0.7× 57 0.2× 122 0.5× 365 1.6× 39 1.7k
Joseph J. Locascio United States 30 101 0.3× 334 0.9× 424 1.7× 138 0.6× 315 1.4× 98 3.9k
Thomas Kaiser Germany 24 268 0.7× 230 0.6× 36 0.1× 370 1.6× 52 0.2× 80 2.3k

Countries citing papers authored by Florian Naudet

Since Specialization
Citations

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

Fields of papers citing papers by Florian Naudet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Florian Naudet

This figure shows the co-authorship network connecting the top 25 collaborators of Florian Naudet. A scholar is included among the top collaborators of Florian Naudet 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 Florian Naudet. Florian Naudet 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.
Naudet, Florian, Mark S. Seidenberg, & Dorothy Bishop. (2024). Comment on Le Floch & Ropars (2017) 'Left–right asymmetry of the Maxwell spot centroids in adults without and with dyslexia’. Proceedings of the Royal Society B Biological Sciences. 291(2017). 20232060–20232060. 2 indexed citations
2.
Braillon, Alain, Lisa Cosgrove, Ioana A. Cristea, et al.. (2024). Fragile promise of psychedelics in psychiatry. BMJ. 387. e080391–e080391. 2 indexed citations
3.
Afach, Sivem, Antoine Meyer, Zenas Z N Yiu, et al.. (2024). Funding and conclusions of network meta-analyses on targeted therapies in inflammatory diseases: an overview. Journal of Clinical Epidemiology. 172. 111411–111411. 1 indexed citations
4.
Naudet, Florian, et al.. (2024). Improving the transparency and reliability of observational studies through registration. BMJ. 384. e076123–e076123. 11 indexed citations
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Naudet, Florian, et al.. (2023). Published registered reports are rare, limited to one journal group, and inadequate for randomized controlled trials in the clinical field. Journal of Clinical Epidemiology. 160. 61–70. 2 indexed citations
7.
Mansmann, Ulrich, Clara Locher, Fabian Praßer, et al.. (2023). Implementing clinical trial data sharing requires training a new generation of biomedical researchers. Nature Medicine. 29(2). 298–301. 14 indexed citations
8.
Decullier, Évelyne, Jean‐Marie Chrétien, Éric Rosenthal, et al.. (2023). Ten (not so) simple rules for clinical trial data-sharing. PLoS Computational Biology. 19(3). e1010879–e1010879. 5 indexed citations
9.
Wang, Xu, et al.. (2022). A multiverse analysis of meta-analyses assessing acupuncture efficacy for smoking cessation evidenced vibration of effects. Journal of Clinical Epidemiology. 152. 140–150. 11 indexed citations
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Naudet, Florian, et al.. (2021). A survey of biomedical journals to detect editorial bias and nepotistic behavior. PLoS Biology. 19(11). e3001133–e3001133. 21 indexed citations
13.
Ohmann, Christian, David Moher, Maximilian Siebert, Edith Motschall, & Florian Naudet. (2021). Status, use and impact of sharing individual participant data from clinical trials: a scoping review. BMJ Open. 11(8). e049228–e049228. 31 indexed citations
14.
Palpacuer, Clément, et al.. (2016). Specific and non-specific effects of psychotherapeutic interventions for depression: Results from a meta-analysis of 84 studies. Journal of Psychiatric Research. 87. 95–104. 26 indexed citations
15.
Allain, Nathalie, Cyril Leven, Bruno Falissard, et al.. (2016). Manic switches induced by antidepressants: an umbrella review comparing randomized controlled trials and observational studies. Acta Psychiatrica Scandinavica. 135(2). 106–116. 21 indexed citations
16.
Duprez, Joan, Jean‐François Houvenaghel, Florian Naudet, et al.. (2016). Impulsive oculomotor action selection in Parkinson’s disease. Neuropsychologia. 95. 250–258. 14 indexed citations
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Naudet, Florian, et al.. (2013). Improving study design for antidepressant effectiveness assessment. International Journal of Methods in Psychiatric Research. 22(3). 217–231. 11 indexed citations
19.
Naudet, Florian, et al.. (2013). Which placebo to cure depression? A thought-provoking network meta-analysis. BMC Medicine. 11(1). 230–230. 16 indexed citations
20.

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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