Philippe Pierre

45 papers receiving 1.7k citations

Philippe Pierre's Hit Papers

Correlation and variable importance in random forests 2016 · 715 citations
7150+6+13Years since publication200400600

Peers

Philippe Pierre
Comparison fields: 5 of 193
  • Immunology and Allergy 64
  • Statistics and Probability 90
  • Physiology 236
  • Urban Studies 59
  • Environmental Engineering 115
Replace Alan Wilson with:
Alan Wilson United Kingdom
John Williamson United States
Jianhong Liu China
Farid Kianifard United States
Peter A. Rogerson United States
Guillermo Mendoza United States
Thomas H. Wonnacott Canada
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Countries citing papers authored by Philippe Pierre

Since Specialization
Citations

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

Fields of papers citing papers by Philippe Pierre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Philippe Pierre, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Philippe Pierre Line = papers co-authored together Philippe Pierre links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Correlation and variable importance in random forests
Hit paper breakdown →
2016715
2
The Sociology of Globalization
Hit paper breakdown →
2006351
3 201588
4 200579
5 201266
6 201766
7 201457
8 200346
9 201538
10 201524
11 200324
12 201323
13 201521
14 202115
15 200612
16 201410
17 201210
18 20039
19 20149
20
D’IRIBARNE Philippe, 2003, Le Tiers-Monde qui réussit. Nouveaux modèles
20047

About Philippe Pierre

Philippe Pierre is a scholar working on Physiology, Sociology and Political Science, Political Science and International Relations, Statistics and Probability and Communication, having authored 54 papers that have together received 1.7k indexed citations. Recurring topics across this work include Asthma and respiratory diseases (10 papers), International Student and Expatriate Challenges (6 papers), Health, Medicine and Society (6 papers), International Business and FDI (6 papers), Statistical Distribution Estimation and Applications (5 papers), Healthcare Systems and Practices (5 papers), Statistical Methods and Inference (4 papers) and Global and Cross-Cultural Management (4 papers). The work is most often cited by research in Immunology and Allergy (64 citations), Statistics and Probability (90 citations), Physiology (236 citations), Urban Studies (59 citations) and Environmental Engineering (115 citations). Philippe Pierre has collaborated with scholars based in France, United States and Armenia. Frequent co-authors include Bertrand Michel, Baptiste Gregorutti, Jean-Luc Metzger, Dominique Martin, J. Just, Rahelé Gouvis-Echraghi, Rémy Couderc, Flore Amat, Jean-François Durand and Jean‐Pierre Daurès. Their work appears in journals such as Pediatric Allergy and Immunology, PLoS ONE, The International Journal of Biostatistics, The Journal of Allergy and Clinical Immunology In Practice and Annals of Allergy Asthma & Immunology.

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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