Anne Philippe

1.8k citations
85 papers · 952 · h-index 17

Impact in

Papers in

    • Statistical Methods and Inference 16
    • Markov Chains and Monte Carlo Methods 9
    • Financial Risk and Volatility Modeling 17
    • Stochastic processes and financial applications 10

Anne Philippe

75 papers receiving 910 citations

Peers

Anne Philippe
Comparison fields: 5 of 110
  • Paleontology 220
  • Statistics and Probability 217
  • Atmospheric Science 334
  • Anthropology 192
  • Earth-Surface Processes 105
Replace Jacques Azéma with:
Jacques Azéma France
M.J. Baxter United Kingdom
Youjuan Li China
Nathan M. Urban United States
H. Wensink Netherlands
James F. Bowring United States
P. Pestiaux Belgium
D. L. Jones United States
D. L. Turcotte United States
Eleftheria Papadimitriou Greece
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Citations per year

Countries citing papers authored by Anne Philippe

Since Specialization
Citations

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

Fields of papers citing papers by Anne Philippe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017104
2 200364
3 201844
4 201938
5 199737
6 200737
7 201635
8 201534
9 199632
10 200930
11 200627
12 201826
13 201723
14 199923
15 200321
16 202018
17
ESTIMATION OF QUADRATIC FUNCTIONS: NONINFORMATIVE PRIORS FOR NON-CENTRALITY PARAMETERS
199817
18 200416
19 202215
20 202015

About Anne Philippe

Anne Philippe is a scholar working on Statistics and Probability, Finance, Paleontology, Artificial Intelligence and Atmospheric Science, having authored 85 papers that have together received 952 indexed citations. Recurring topics across this work include Archaeology and ancient environmental studies (17 papers), Financial Risk and Volatility Modeling (17 papers), Geology and Paleoclimatology Research (16 papers), Statistical Methods and Inference (16 papers), Complex Systems and Time Series Analysis (14 papers), Bayesian Methods and Mixture Models (13 papers), Stochastic processes and financial applications (10 papers) and Markov Chains and Monte Carlo Methods (9 papers). The work is most often cited by research in Paleontology (220 citations), Statistics and Probability (217 citations), Atmospheric Science (334 citations), Anthropology (192 citations) and Earth-Surface Processes (105 citations). Anne Philippe has collaborated with scholars based in France, Lithuania and United Kingdom. Frequent co-authors include Christian P. Robert, Guillaume Guérin, Донатас Сургайлис, Sebastian Kreutzer, Remigijus Leipus, Christelle Lahaye, Stephen P. Brooks, Paolo Giudici, Norbert Mercier and Benoît Combès. Their work appears in journals such as Quaternary Geochronology, Statistics and Computing, Journal of Statistical Planning and Inference, Test and Journal of Computational and Graphical 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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