Étienne Côme

1.8k total citations
38 papers, 1.1k citations indexed

About

Étienne Côme is a scholar working on Transportation, Building and Construction and Artificial Intelligence. According to data from OpenAlex, Étienne Côme has authored 38 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Transportation, 11 papers in Building and Construction and 7 papers in Artificial Intelligence. Recurrent topics in Étienne Côme's work include Transportation Planning and Optimization (20 papers), Human Mobility and Location-Based Analysis (18 papers) and Urban Transport and Accessibility (9 papers). Étienne Côme is often cited by papers focused on Transportation Planning and Optimization (20 papers), Human Mobility and Location-Based Analysis (18 papers) and Urban Transport and Accessibility (9 papers). Étienne Côme collaborates with scholars based in France, Tanzania and Canada. Étienne Côme's co-authors include Latifa Oukhellou, Mohamed Khalil El Mahrsi, Martin Trépanier, Michel Verleysen, Patrice Aknin, Pierre Latouche, Julien Jacques, Charles Bouveyron, Thierry Denœux and Romain Billot and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Pattern Recognition.

In The Last Decade

Étienne Côme

36 papers receiving 995 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Étienne Côme France 14 631 320 194 132 90 38 1.1k
Tongyu Zhu China 14 367 0.6× 248 0.8× 124 0.6× 68 0.5× 99 1.1× 64 777
Zipei Fan Japan 17 505 0.8× 363 1.1× 173 0.9× 124 0.9× 116 1.3× 65 899
Xianyuan Zhan China 18 599 0.9× 449 1.4× 95 0.5× 173 1.3× 75 0.8× 43 1.1k
Gianni Barlacchi Italy 9 494 0.8× 293 0.9× 141 0.7× 61 0.5× 70 0.8× 23 849
Jincai Huang China 15 230 0.4× 261 0.8× 88 0.5× 54 0.4× 47 0.5× 28 522
Renhe Jiang Japan 20 551 0.9× 679 2.1× 316 1.6× 82 0.6× 326 3.6× 87 1.2k
Quanjun Chen Japan 12 346 0.5× 471 1.5× 157 0.8× 45 0.3× 170 1.9× 32 800
Roberto Trasarti Italy 15 836 1.3× 228 0.7× 163 0.8× 119 0.9× 486 5.4× 47 1.2k
Funing Sun China 11 631 1.0× 531 1.7× 257 1.3× 46 0.3× 275 3.1× 15 1.1k
Guangyin Jin China 16 544 0.9× 777 2.4× 213 1.1× 86 0.7× 224 2.5× 32 1.1k

Countries citing papers authored by Étienne Côme

Since Specialization
Citations

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

Fields of papers citing papers by Étienne Côme

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Étienne Côme

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

All Works

20 of 20 papers shown
1.
Côme, Étienne, et al.. (2024). Deep Probabilistic Forecasting of Multivariate Count Data With “Sums and Shares” Distributions: A Case Study on Pedestrian Counts in a Multimodal Transport Hub. IEEE Transactions on Intelligent Transportation Systems. 25(11). 15687–15701. 1 indexed citations
2.
Côme, Étienne, et al.. (2024). How Has the Paris Rail Public-Transportation Network Recovered After the COVID-19 Pandemic? Applying a Mixture of Regressions Model. Transportation Research Record Journal of the Transportation Research Board. 2679(3). 330–345.
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Furno, Angelo, et al.. (2023). Adaptative generalisation over a value hierarchy for the k-anonymisation of Origin–Destination matrices. Transportation Research Part C Emerging Technologies. 154. 104236–104236. 3 indexed citations
5.
Côme, Étienne, et al.. (2023). Forecasting passenger flows and headway at train level for a public transport line: Focus on atypical situations. Transportation Research Part C Emerging Technologies. 153. 104195–104195. 7 indexed citations
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Jégou, Laurent, et al.. (2021). ONE ARABESQUE IN THE SMALL WORLD OF OD WEBMAPS. SHILAP Revista de lepidopterología. XLVI-4/W2-2021. 147–154. 1 indexed citations
8.
Côme, Étienne, et al.. (2021). Image Inpainting and Deep Learning to Forecast Short-Term Train Loads. IEEE Access. 9. 98506–98522. 8 indexed citations
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Côme, Étienne, et al.. (2018). Modal shift potential of improvements in cycle access to exurban train stations. Case Studies on Transport Policy. 6(4). 743–752. 11 indexed citations
12.
Bouveyron, Charles, Étienne Côme, & Julien Jacques. (2015). The discriminative functional mixture model for a comparative analysis of bike sharing systems. The Annals of Applied Statistics. 9(4). 88 indexed citations
13.
Han, Yufei, Étienne Côme, & Latifa Oukhellou. (2014). Towards Bicycle Demand Prediction of Large-Scale Bicycle Sharing System. Transportation Research Board 93rd Annual MeetingTransportation Research Board. 8 indexed citations
14.
Côme, Étienne, et al.. (2014). Spatio-temporal usage pattern analysis of the Paris shared bicycle scheme: a data mining approach. 6 indexed citations
15.
Côme, Étienne & Latifa Oukhellou. (2014). Model-Based Count Series Clustering for Bike Sharing System Usage Mining: A Case Study with the Vélib’ System of Paris. ACM Transactions on Intelligent Systems and Technology. 5(3). 1–21. 120 indexed citations
16.
Oukhellou, Latifa, et al.. (2012). Fault-diagnosis of PEM fuel cells using electrochemical spectroscopy impedance. IFAC Proceedings Volumes. 45(21). 651–656. 12 indexed citations
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Côme, Étienne, Latifa Oukhellou, Thierry Denœux, & Patrice Aknin. (2011). Fault diagnosis of a railway device using semi-supervised independent factor analysis with mixing constraints. Pattern Analysis and Applications. 15(3). 313–326. 5 indexed citations
19.
Côme, Étienne, Latifa Oukhellou, Thierry Denœux, & Patrice Aknin. (2008). Learning from partially supervised data using mixture models and belief functions. Pattern Recognition. 42(3). 334–348. 69 indexed citations
20.
Samé, Allou, Latifa Oukhellou, Étienne Côme, & Patrice Aknin. (2007). Mixture-model-based signal denoising. Advances in Data Analysis and Classification. 1(1). 39–51. 3 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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