Ludovic Leclercq

6.0k total citations
165 papers, 4.5k citations indexed

About

Ludovic Leclercq is a scholar working on Transportation, Control and Systems Engineering and Building and Construction. According to data from OpenAlex, Ludovic Leclercq has authored 165 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 132 papers in Transportation, 121 papers in Control and Systems Engineering and 70 papers in Building and Construction. Recurrent topics in Ludovic Leclercq's work include Transportation Planning and Optimization (131 papers), Traffic control and management (118 papers) and Traffic Prediction and Management Techniques (65 papers). Ludovic Leclercq is often cited by papers focused on Transportation Planning and Optimization (131 papers), Traffic control and management (118 papers) and Traffic Prediction and Management Techniques (65 papers). Ludovic Leclercq collaborates with scholars based in France, United States and Netherlands. Ludovic Leclercq's co-authors include Jorge Laval, Nicolas Chiabaut, Guilhem Mariotte, Nikolas Geroliminis, Arnaud Can, Sérgio Batista, Christine Buisson, Hans van Lint, Panchamy Krishnakumari and Serge Hoogendoorn and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Ludovic Leclercq

156 papers receiving 4.4k citations

Peers

Ludovic Leclercq

CSE

TRANS

SRRQ

Jia Hu China

Keemin Sohn South Korea

Hongchao Liu United States

Wei Guan China

Zhaocheng He China

Hua Wei China

Lihui Zhang China

Jian Ma China

Young-Ji Byon United Arab Emirates

Jia Hu China

Ludovic Leclercq

1.9k ×0.6

CSE

1.2k ×0.4

TRANS

718 ×0.4

1.5k ×1.1

358 ×0.7

SRRQ

Citations per year, relative to Ludovic Leclercq Ludovic Leclercq (= 1×) peers Jia Hu

Countries citing papers authored by Ludovic Leclercq

Since Specialization

Citations

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

Fields of papers citing papers by Ludovic Leclercq

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ludovic Leclercq

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

All Works

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20 of 20 papers shown

Leclercq, Ludovic, et al.. (2025). Scaling methods for estimating macroscopic fundamental diagrams in urban networks with sparse stationary sensor coverage. Transportation Research Part C Emerging Technologies. 178. 105213–105213.

Leclercq, Ludovic, et al.. (2024). A physics-informed machine learning for generalized bathtub model in large-scale urban networks. Transportation Research Part C Emerging Technologies. 164. 104661–104661. 3 indexed citations

Furno, Angelo, et al.. (2024). Improving deep-learning methods for area-based traffic demand prediction via hierarchical reconciliation. Transportation Research Part C Emerging Technologies. 159. 104410–104410. 5 indexed citations

Han, Yu, et al.. (2024). Perimeter control with heterogeneous metering rates for cordon signals: A physics-regularized multi-agent reinforcement learning approach. Transportation Research Part C Emerging Technologies. 171. 104944–104944. 7 indexed citations

Chiabaut, Nicolas, et al.. (2023). Fostering synergy between transit and Autonomous Mobility-on-Demand systems: A dynamic modeling approach for the morning commute problem. Transportation Research Part A Policy and Practice. 170. 103638–103638. 3 indexed citations

Ambühl, Lukas, et al.. (2023). From Corridor to Network Macroscopic Fundamental Diagrams: A Semi-Analytical Approximation Approach. Transportation Science. 57(5). 1115–1133. 8 indexed citations

Yu, Jiajie, et al.. (2023). Decentralized signal control for multi-modal traffic network: A deep reinforcement learning approach. Transportation Research Part C Emerging Technologies. 154. 104281–104281. 23 indexed citations

Keyvan‐Ekbatani, Mehdi, et al.. (2021). Macroscopic network-level traffic models: Bridging fifty years of development toward the next era. Transportation Research Part C Emerging Technologies. 131. 103334–103334. 57 indexed citations

Batista, Sérgio & Ludovic Leclercq. (2020). Regional dynamic traffic assignment with bounded rational drivers as a tool for assessing the emissions in large metropolitan areas. Transportation Research Interdisciplinary Perspectives. 8. 100248–100248. 8 indexed citations

10.

Leclercq, Ludovic, et al.. (2019). Unravelling travellers’ route choice behaviour at full-scale urban network by focusing on representative OD pairs in computer experiments. PLoS ONE. 14(11). e0225069–e0225069. 4 indexed citations

11.

Ambühl, Lukas, et al.. (2018). Identifying reproducible macroscopic traffic patterns in a year-long data set. Arbeitsberichte Verkehrs- und Raumplanung. 1367. 19–3614. 2 indexed citations

12.

Wang, Yibing, et al.. (2017). Shockwave Analysis of Freeway Congestions. Transportation Research Board 96th Annual MeetingTransportation Research Board. 1 indexed citations

13.

Knoop, Victor L., et al.. (2016). Network Transmission Model: Application to a Real World City. Data Archiving and Networked Services (DANS). 16–1526. 5 indexed citations

14.

Leclercq, Ludovic & Edward Chung. (2013). Introduction. Computer-Aided Civil and Infrastructure Engineering. 28(8). 559–559. 1 indexed citations

15.

Leclercq, Ludovic, et al.. (2012). Meso Lighthill-Whitham and Richards Model Designed for Network Applications. Transportation Research Board 91st Annual MeetingTransportation Research Board. 19 indexed citations

16.

Chiabaut, Nicolas, Ludovic Leclercq, & Christine Buisson. (2010). Analysis of Driving Behavior Heterogeneity in Experimental NG-Sim Data Set. Transportation Research Board 89th Annual MeetingTransportation Research Board.

17.

Leclercq, Ludovic, Nicolas Chiabaut, Jorge Laval, & Christine Buisson. (2007). Relaxation Phenomenon After Changing Lanes: Experimental Validation with NGSIM Data Set. Transportation Research Record Journal of the Transportation Research Board. 18 indexed citations

18.

Davigny, Arnaud, et al.. (2004). Wind and storage system based dispersed generation contribution to power grid ancillary services and network reliability. SPIRE - Sciences Po Institutional REpository. 5 indexed citations

19.

Leclercq, Ludovic, et al.. (2003). Dynamic evaluation of the noise emitted by a bimodal (passenger cars/buses) traffic flow. 한국소음진동공학회 국제학술발표논문집. 1837–1844. 3 indexed citations

20.

Leclercq, Ludovic. (1999). Use of dynamic traffic modelling to improve estimate of noise emissions: a feasibility study. 2 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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