Philippe Lambert

3.9k citations
137 papers · 2.7k indexed · h-index 26

Impact in

Papers in

    • Statistical Methods and Inference 27
    • Statistical Methods and Bayesian Inference 23
    • Advanced Statistical Methods and Models 9
    • Statistical Methods in Clinical Trials 6
    • Bayesian Methods and Mixture Models 17

Philippe Lambert

130 papers receiving 2.5k citations

Peers

Philippe Lambert
Comparison fields: 5 of 191
  • Statistics and Probability 566
  • Geriatrics and Gerontology 234
  • Finance 309
  • Family Practice 61
  • Orthopedics and Sports Medicine 226
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Citations per field
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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 137 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007252
2 2005150
3 2017149
4 2004123
5 1973118
6 1998109
7
Modelling financial time series using GARCH-type models with a skewed student distribution for the innovations
200187
8 200481
9 200163
10 201061
11 200360
12 200658
13 200856
14 200254
15 200647
16 199645
17 200542
18 201140
19 200740
20 201537

About Philippe Lambert

Philippe Lambert is a scholar working on Statistics and Probability, Artificial Intelligence, Finance, Nephrology and Pulmonary and Respiratory Medicine, having authored 137 papers that have together received 2.7k indexed citations. Recurring topics across this work include Statistical Methods and Inference (27 papers), Statistical Methods and Bayesian Inference (23 papers), Bayesian Methods and Mixture Models (17 papers), Financial Risk and Volatility Modeling (10 papers), Advanced Statistical Methods and Models (9 papers), Statistical Methods in Clinical Trials (6 papers), Control Systems and Identification (4 papers) and Dialysis and Renal Disease Management (4 papers). The work is most often cited by research in Statistics and Probability (566 citations), Geriatrics and Gerontology (234 citations), Finance (309 citations), Family Practice (61 citations) and Orthopedics and Sports Medicine (226 citations). Philippe Lambert has collaborated with scholars based in Belgium, France and United Kingdom. Frequent co-authors include Michel Denuit, Sébastien Laurent, Martin Buchheit, A Verniory, François Vandenhende, Léon Wilmotte, Anne Spinewine, Paul M. Tulkens, Soraya Dhillon and Jean B. Nachega. Their work appears in journals such as Computational Statistics & Data Analysis, Statistics in Medicine, Statistical Modelling, Pflügers Archiv - European Journal of Physiology 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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