David Chavalarias

1.0k total citations · 1 hit paper
26 papers, 549 citations indexed

About

David Chavalarias is a scholar working on Statistical and Nonlinear Physics, Sociology and Political Science and Molecular Biology. According to data from OpenAlex, David Chavalarias has authored 26 papers receiving a total of 549 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Statistical and Nonlinear Physics, 6 papers in Sociology and Political Science and 5 papers in Molecular Biology. Recurrent topics in David Chavalarias's work include Complex Network Analysis Techniques (8 papers), scientometrics and bibliometrics research (5 papers) and Opinion Dynamics and Social Influence (5 papers). David Chavalarias is often cited by papers focused on Complex Network Analysis Techniques (8 papers), scientometrics and bibliometrics research (5 papers) and Opinion Dynamics and Social Influence (5 papers). David Chavalarias collaborates with scholars based in France, United States and Italy. David Chavalarias's co-authors include John P. A. Ioannidis, Joshua D. Wallach, Jean‐Philippe Cointet, Masaru Mizoguchi, Cyrille Bertelle, Jean‐Pierre Müller, Franck Varenne, Pablo Jensen, Arnaud Banos and Nicolas Brodu and has published in prestigious journals such as JAMA, PLoS ONE and Scientific Reports.

In The Last Decade

David Chavalarias

24 papers receiving 535 citations

Hit Papers

Evolution of Reporting P Values in the Biomedical Literat... 2016 2026 2019 2022 2016 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. Evolution of Reporting P Values in the Biomedical Literature, 1990-2015
    2016 217 citations David Chavalarias, Joshua D. Wallach et al. JAMA profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Chavalarias France 9 179 80 72 65 62 26 549
Isola Ajiferuke Canada 15 214 1.2× 39 0.5× 35 0.5× 13 0.2× 30 0.5× 42 708
Nan Lin China 7 84 0.5× 135 1.7× 26 0.4× 101 1.6× 50 0.8× 11 561
Weihua Li China 11 118 0.7× 69 0.9× 28 0.4× 7 0.1× 128 2.1× 16 339
Pierpaolo Dondio Ireland 12 111 0.6× 74 0.9× 24 0.3× 8 0.1× 19 0.3× 49 460
Ryan Chute United States 4 306 1.7× 64 0.8× 32 0.4× 4 0.1× 98 1.6× 5 591
Mallory C. Kidwell United States 8 358 2.0× 95 1.2× 32 0.4× 25 0.4× 4 0.1× 10 859
Piotr Przybyła Poland 10 105 0.6× 141 1.8× 19 0.3× 8 0.1× 55 0.9× 28 554
Jeff Gill United States 14 37 0.2× 186 2.3× 125 1.7× 119 1.8× 17 0.3× 28 663
Bedoor AlShebli United States 8 95 0.5× 106 1.3× 108 1.5× 5 0.1× 23 0.4× 17 679
Ian McCulloh United States 10 37 0.2× 109 1.4× 22 0.3× 19 0.3× 136 2.2× 45 485

Countries citing papers authored by David Chavalarias

Since Specialization
Citations

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

Fields of papers citing papers by David Chavalarias

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Chavalarias

This figure shows the co-authorship network connecting the top 25 collaborators of David Chavalarias. A scholar is included among the top collaborators of David Chavalarias 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 David Chavalarias. David Chavalarias 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.
Achitouv, Ixandra, et al.. (2024). A Unified Graph Clustering Framework for Complex Systems Modeling. SSRN Electronic Journal.
2.
Chavalarias, David, et al.. (2024). Can a Single Line of Code Change Society? The Systemic Risks of Optimizing Engagement in Recommender Systems on Global Information Flow, Opinion Dynamics and Social Structures. Journal of Artificial Societies and Social Simulation. 27(1). 4 indexed citations
3.
Chavalarias, David, et al.. (2023). Crowdsourced audit of Twitter’s recommender systems. Scientific Reports. 13(1). 16815–16815. 8 indexed citations
4.
Chavalarias, David, et al.. (2022). Toward an observatory of the evolution of clinical trials through phylomemy reconstruction: the COVID-19 vaccines example. Journal of Clinical Epidemiology. 149. 36–44. 1 indexed citations
5.
Chavalarias, David, et al.. (2021). Draw me Science. Scientometrics. 127(1). 545–575. 8 indexed citations
6.
Chavalarias, David, et al.. (2021). Exploring, browsing and interacting with multi-level and multi-scale dynamics of knowledge. Information Visualization. 21(1). 17–37. 6 indexed citations
7.
Chavalarias, David, et al.. (2020). Mobile-based traceability system for sustainable food supply networks. Nature Food. 1(11). 673–679. 24 indexed citations
8.
Chavalarias, David, et al.. (2019). Hostilité et prosélytisme des communautés politiques. Réseaux. n° 214-215(2). 67–107. 7 indexed citations
9.
Chavalarias, David, et al.. (2018). Methods for the reconstruction of the socio-semantic dynamics of political activist Twitter networks. Université Pierre et Marie CURIE (UPMC). 1 indexed citations
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12.
Chavalarias, David, et al.. (2016). Evolution of Reporting P Values in the Biomedical Literature, 1990-2015. JAMA. 315(11). 1141–1141. 217 indexed citations breakdown →
13.
Deffuant, Guillaume, Arnaud Banos, David Chavalarias, et al.. (2015). Visions de la complexité. Le démon de Laplace dans tous ses états. Natures Sciences Sociétés. 23(1). 42–53. 11 indexed citations
14.
Chavalarias, David, et al.. (2014). Dematerialization and Environment: a text-mining landscape on academic, blog and press publications.. Advances in computer science research. 2 indexed citations
15.
Chavalarias, David & Jean‐Philippe Cointet. (2013). Phylomemetic Patterns in Science Evolution—The Rise and Fall of Scientific Fields. PLoS ONE. 8(2). e54847–e54847. 77 indexed citations
16.
Chavalarias, David, Jean‐Philippe Cointet, Andreï Mogoutov, et al.. (2011). Streams of Media Issues, Monitoring World Food Security. 3 indexed citations
17.
Chavalarias, David & John P. A. Ioannidis. (2010). Science mapping analysis characterizes 235 biases in biomedical research. Journal of Clinical Epidemiology. 63(11). 1205–1215. 67 indexed citations
18.
Chavalarias, David. (2009). La part mimétique des dynamiques de cognition sociale : clé pour penser l’auto-tranformation du social. Nouvelles perspectives en sciences sociales. 2(2). 33–57. 2 indexed citations
19.
Cointet, Jean‐Philippe, et al.. (2008). Multi-level science mapping with asymmetrical paradigmatic proximity. Networks and Heterogeneous Media. 3(2). 267–276. 7 indexed citations
20.
Chavalarias, David & Jean‐Philippe Cointet. (2008). Bottom-up scientific field detection for dynamical and hierarchical science mapping, methodology and case study. Scientometrics. 75(1). 37–50. 22 indexed citations

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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