Vivian Viallon

4.6k citations
54 papers · 1.1k indexed · h-index 18
Topics
Statistical Methods and Inference (13 papers)Cancer Risks and Factors (9 papers)Bayesian Methods and Mixture Models (8 papers)
Partner nations
FranceUnited StatesSpain

In The Last Decade

Vivian Viallon

52 papers receiving 1.1k citations

Peers

Vivian Viallon
Comparison fields: 5 of 126
  • Molecular Biology 232
  • Epidemiology 196
  • Pulmonary and Respiratory Medicine 151
  • Public Health, Environmental and Occupational Health 150
  • Oncology 143
Replace Žhong Yuan with:
Žhong Yuan United States
Ingrid Glurich United States
Peter J. Howanitz United States
Kentaro Sakamaki Japan
Naji Younes United States
Anil Jain United States
George S. Cembrowski Canada
Massimo Locatelli Italy
Adriana Ceci Italy
Vivian Viallon relative to Žhong Yuan United States Žhong Yuan's profile →
Citations per field
00.5×1.7×
Žhong Yuan · 1×
Citations per year

Countries citing papers authored by Vivian Viallon

Since Specialization
Citations

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

Fields of papers citing papers by Vivian Viallon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vivian Viallon

This figure shows the co-authorship network connecting the top 25 collaborators of Vivian Viallon. A scholar is included among the top collaborators of Vivian Viallon 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 Vivian Viallon. Vivian Viallon 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 4
2 3
3 40
4 4
5 4
6 8
7 81
8 4
9 43
10 78
11
Regression modeling on stratified data: automatic and covariate-specific selection of the reference stratum with simple $L_1$-norm penalties
4
12 23
13 41
14 41
15 22
16 13
17 36
18 1
19 1
20 2

About Vivian Viallon

Vivian Viallon is a scholar working on Statistics and Probability, Cancer Research and Family Practice, having authored 54 papers that have together received 1.1k indexed citations. Recurring topics across this work include Statistical Methods and Inference (13 papers), Cancer Risks and Factors (9 papers) and Bayesian Methods and Mixture Models (8 papers). The work is most often cited by research in Nutrition and Dietetics (126 citations), Statistics and Probability (64 citations) and Pharmacy (36 citations). Vivian Viallon has collaborated with scholars based in France, United States and Spain. Frequent co-authors include Bernard Laumon, Aurélien Latouche, Blandine Gadegbeku, Alain Cariou, Christophe Dupont, Dan Wu, Nathalie Kapel, Jean‐Daniel Chiche, Jean‐Louis Martin and Jean‐Paul Mira. Their work appears in journals such as Nature Communications, PLoS ONE and Scientific Reports.

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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