Laëtitia Chapel

513 total citations
10 papers, 125 citations indexed

About

Laëtitia Chapel is a scholar working on Artificial Intelligence, Global and Planetary Change and Sociology and Political Science. According to data from OpenAlex, Laëtitia Chapel has authored 10 papers receiving a total of 125 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 3 papers in Global and Planetary Change and 2 papers in Sociology and Political Science. Recurrent topics in Laëtitia Chapel's work include Time Series Analysis and Forecasting (2 papers), Evolutionary Game Theory and Cooperation (2 papers) and Gaussian Processes and Bayesian Inference (1 paper). Laëtitia Chapel is often cited by papers focused on Time Series Analysis and Forecasting (2 papers), Evolutionary Game Theory and Cooperation (2 papers) and Gaussian Processes and Bayesian Inference (1 paper). Laëtitia Chapel collaborates with scholars based in France, Spain and Switzerland. Laëtitia Chapel's co-authors include Guillaume Deffuant, Éric Sauquet, Pietro Bernardara, Maria‐Helena Ramos, Gilles Gasso, Christian Mullon, Sophie Martin, Romain Tavenard, Gustau Camps‐Valls and Vı́ctor M. Eguı́luz and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Automatic Control and Machine Learning.

In The Last Decade

Laëtitia Chapel

10 papers receiving 117 citations

Peers

Laëtitia Chapel

GPC

WST

EE

CSE

ECOLO

Yukai Yao China

Xiaolin Yang China

Jianyi Yang United States

T. Dooling United States

Stelios Kapetanakis United Kingdom

Myriam Lamolle France

Marinho G. Andrade Brazil

Philippe Lamontagne Canada

Sheikh Ghafoor United States

Freddie Kalaitzis United Kingdom

Yukai Yao China

Laëtitia Chapel

76 ×1.9

GPC

23 ×1.0

WST

30 ×1.6

EE

5 ×0.3

CSE

5 ×0.3

ECOLO

Citations per year, relative to Laëtitia Chapel Laëtitia Chapel (= 1×) peers Yukai Yao

Countries citing papers authored by Laëtitia Chapel

Since Specialization

Citations

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

Fields of papers citing papers by Laëtitia Chapel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laëtitia Chapel

This figure shows the co-authorship network connecting the top 25 collaborators of Laëtitia Chapel. A scholar is included among the top collaborators of Laëtitia Chapel 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 Laëtitia Chapel. Laëtitia Chapel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

1.

Chapel, Laëtitia, et al.. (2021). Scalable clustering of segmented trajectories within a continuous time framework: application to maritime traffic data. Machine Learning. 112(6). 1975–2001. 5 indexed citations

2.

Chapel, Laëtitia, et al.. (2020). Partial Optimal Tranport with applications on Positive-Unlabeled Learning. Neural Information Processing Systems. 33. 2903–2913. 19 indexed citations

3.

Chapel, Laëtitia, et al.. (2018). Optimal Transport for structured data.. arXiv (Cornell University). 1 indexed citations

4.

Chapel, Laëtitia, et al.. (2017). Nonlinear Time-Series Adaptation for Land Cover Classification. IEEE Geoscience and Remote Sensing Letters. 14(6). 896–900. 10 indexed citations

5.

Malinowski, Simon, et al.. (2016). Dense Bag-of-Temporal-SIFT-Words for Time Series Classification. arXiv (Cornell University). 1 indexed citations

6.

Chapel, Laëtitia, et al.. (2010). Viability and Resilience of Languages in Competition. PLoS ONE. 5(1). e8681–e8681. 15 indexed citations

7.

Chapel, Laëtitia & Douglas J. Leith. (2010). Sparse input matrix and state estimation for linear systems. HAL (Le Centre pour la Communication Scientifique Directe). 4441–4446. 1 indexed citations

8.

Sauquet, Éric, Maria‐Helena Ramos, Laëtitia Chapel, & Pietro Bernardara. (2008). Streamflow scaling properties: investigating characteristic scales from different statistical approaches. Hydrological Processes. 22(17). 3462–3475. 27 indexed citations

9.

Chapel, Laëtitia, Guillaume Deffuant, Sophie Martin, & Christian Mullon. (2007). Defining yield policies in a viability approach. Ecological Modelling. 212(1-2). 10–15. 18 indexed citations

10.

Deffuant, Guillaume, et al.. (2007). Approximating Viability Kernels With Support Vector Machines. IEEE Transactions on Automatic Control. 52(5). 933–937. 28 indexed citations

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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