Philippe Lambert

2.5k citations
68 papers · 1.7k · h-index 20

Impact in

Papers in

    • Statistical Methods and Bayesian Inference 23
    • Statistical Distribution Estimation and Applications 13
    • Statistical Methods and Inference 10
    • Probability and Statistical Research 4
    • Statistical Methods in Clinical Trials 4
    • Financial Risk and Volatility Modeling 8

Philippe Lambert

68 papers receiving 1.7k citations

Peers

Philippe Lambert
Comparison fields: 5 of 136
  • Geriatrics and Gerontology 238
  • Statistics and Probability 518
  • Finance 173
  • Equine 20
  • Management Science and Operations Research 115
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Citations per field
00.5×5×10×14×
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Citations per year

Countries citing papers authored by Philippe Lambert

Since Specialization
Citations

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

Fields of papers citing papers by Philippe Lambert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Philippe Lambert, 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 Lambert Line = papers co-authored together Philippe Lambert links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007264
2 2005170
3 2004118
4 1998109
5 200481
6 200168
7 200667
8 200362
9 201062
10 200857
11 200655
12 200254
13 200541
14 200740
15 201334
16 200825
17 201425
18 200023
19 200623
20 201623

About Philippe Lambert

Philippe Lambert is a scholar working on Statistics and Probability, Finance, Small Animals, Management Science and Operations Research and Pulmonary and Respiratory Medicine, having authored 68 papers that have together received 1.7k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (23 papers), Statistical Distribution Estimation and Applications (13 papers), Statistical Methods and Inference (10 papers), Financial Risk and Volatility Modeling (8 papers), Probability and Statistical Research (4 papers), Control Systems and Identification (4 papers), Statistical Methods in Clinical Trials (4 papers) and Probability and Risk Models (3 papers). The work is most often cited by research in Geriatrics and Gerontology (238 citations), Statistics and Probability (518 citations), Finance (173 citations), Equine (20 citations) and Management Science and Operations Research (115 citations). Philippe Lambert has collaborated with scholars based in Belgium, Netherlands and United States. Frequent co-authors include Michel M. Denuit, J. K. Lindsey, François Vandenhende, Christian Swine, Paul M. Tulkens, Jean Bisimwa Nachega, Anne Spinewine, Léon Wilmotte, Soraya Dhillon and Céline Bugli. Their work appears in journals such as Computational Statistics & Data Analysis, Statistics in Medicine, Statistical Modelling, Biometrical Journal and Journal of Biopharmaceutical Statistics.

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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