Nicolas Gaud

1.3k total citations
58 papers, 664 citations indexed

About

Nicolas Gaud is a scholar working on Artificial Intelligence, Control and Systems Engineering and Automotive Engineering. According to data from OpenAlex, Nicolas Gaud has authored 58 papers receiving a total of 664 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 18 papers in Control and Systems Engineering and 17 papers in Automotive Engineering. Recurrent topics in Nicolas Gaud's work include Multi-Agent Systems and Negotiation (17 papers), Transportation Planning and Optimization (17 papers) and Traffic control and management (17 papers). Nicolas Gaud is often cited by papers focused on Multi-Agent Systems and Negotiation (17 papers), Transportation Planning and Optimization (17 papers) and Traffic control and management (17 papers). Nicolas Gaud collaborates with scholars based in France, Belgium and Argentina. Nicolas Gaud's co-authors include Stéphane Galland, Abderrafìâa Koukam, Vincent Hilaire, Massimo Cossentino, Sebastián Rodríguez, Franck Gechter, Sigrid Knust, Ansar-Ul-Haque Yasar, Jean‐Marc Frayret and Gilles Pesant and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Nicolas Gaud

52 papers receiving 615 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nicolas Gaud France 13 200 186 162 154 88 58 664
René Mandiau France 11 140 0.7× 169 0.9× 93 0.6× 165 1.1× 31 0.4× 49 521
Vincent Hilaire France 14 83 0.4× 260 1.4× 55 0.3× 179 1.2× 116 1.3× 72 714
Raca Todosijević France 23 69 0.3× 187 1.0× 92 0.6× 75 0.5× 67 0.8× 58 1.0k
Christine L. Mumford United Kingdom 18 345 1.7× 116 0.6× 302 1.9× 128 0.8× 22 0.3× 39 1.0k
Aldy Gunawan Singapore 19 166 0.8× 152 0.8× 310 1.9× 58 0.4× 59 0.7× 65 1.2k
Ferdinando Pezzella Italy 16 89 0.4× 286 1.5× 378 2.3× 135 0.9× 31 0.4× 20 1.6k
Wenjing Luan China 13 134 0.7× 192 1.0× 69 0.4× 188 1.2× 194 2.2× 42 714
Josefa Z. Hernández Spain 10 131 0.7× 122 0.7× 50 0.3× 115 0.7× 52 0.6× 19 421
Antonio D. Masegosa Spain 14 246 1.2× 230 1.2× 82 0.5× 178 1.2× 37 0.4× 49 862

Countries citing papers authored by Nicolas Gaud

Since Specialization
Citations

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

Fields of papers citing papers by Nicolas Gaud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicolas Gaud

This figure shows the co-authorship network connecting the top 25 collaborators of Nicolas Gaud. A scholar is included among the top collaborators of Nicolas Gaud 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 Nicolas Gaud. Nicolas Gaud 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.
Gaud, Nicolas, et al.. (2024). Harnessing Heterogeneous Information Networks: A systematic literature review. Computer Science Review. 52. 100633–100633. 2 indexed citations
2.
Gaud, Nicolas, et al.. (2024). Application of Hybrid Deep Reinforcement Learning for Managing Connected Cars at Pedestrian Crossings: Challenges and Research Directions. SHILAP Revista de lepidopterología. 4(2). 579–590. 1 indexed citations
3.
Galland, Stéphane, et al.. (2024). Behavioral models of drivers in developing countries with an agent-based perspective: a literature review. SHILAP Revista de lepidopterología. 4(1). 1 indexed citations
4.
Abbas‐Turki, Abdeljalil, Yazan Mualla, Nicolas Gaud, et al.. (2023). Autonomous Intersection Management: Optimal Trajectories and Efficient Scheduling. Sensors. 23(3). 1509–1509. 8 indexed citations
5.
Outay, Fatma, et al.. (2023). Addressing hazardous weather conditions on Middle East highways with smart infrastructure and connected vehicles using agent-based simulation. Personal and Ubiquitous Computing. 27(5). 1701–1716. 1 indexed citations
6.
7.
Zhang, Meng, et al.. (2022). Comparison of Deep Reinforcement Learning Methods for Safe and Efficient Autonomous Vehicles at Pedestrian Crossings. 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC). abs/1606.01540. 2556–2562. 4 indexed citations
8.
9.
Balbo, Flavien, et al.. (2016). Environnement multidimensionnel pour contextualiser les interactions des agents. Application à la simulation du trafic routier urbain. Revue d intelligence artificielle. 30(1-2). 81–108. 1 indexed citations
10.
Galland, Stéphane, Flavien Balbo, Nicolas Gaud, et al.. (2015). A Multidimensional Environment Implementation for Enhancing Agent Interaction. Adaptive Agents and Multi-Agents Systems. 1801–1802. 3 indexed citations
11.
Lamotte, Olivier, Nicolas Gaud, & Stéphane Galland. (2015). Towards the Dynamic Evaluation of a Public Bus Network for Small Size Urban Environments. Procedia Computer Science. 56. 168–176. 1 indexed citations
12.
Galland, Stéphane, Ansar-Ul-Haque Yasar, Luk Knapen, et al.. (2014). Simulation of Carpooling Agents with the Janus Platform. 5(2). 3 indexed citations
13.
Galland, Stéphane & Nicolas Gaud. (2014). Holonic Model of a Virtual 3D Indoor Environment for Crowd Simulation. 4 indexed citations
14.
Galland, Stéphane, et al.. (2014). Agent-based Simulation of Drivers with the Janus Platform. Procedia Computer Science. 32. 738–743. 6 indexed citations
15.
Gaud, Nicolas, et al.. (2013). The 2nd International Workshop on Agent-based Mobility, Tra c and Transportation Models, Methodologies and Applications (ABMTRANS) Real-time Collision Avoidance for Pedestrian and Bicyclist Simulation: a smooth and predictive approach. 1 indexed citations
16.
Yasar, Ansar-Ul-Haque, Luk Knapen, Nicolas Gaud, et al.. (2013). Multi-Agent Simulation of Individual Mobility Behavior in Carpooling using the Janus and JaSim Platforms. 3 indexed citations
17.
Gaud, Nicolas, Franck Gechter, Stéphane Galland, & Abderrafìâa Koukam. (2007). Holonic multiagent multilevel simulation application to real-time pedestrians simulation in urban environment. International Joint Conference on Artificial Intelligence. 1275–1280. 14 indexed citations
18.
Rodríguez, Sebastián, Nicolas Gaud, Vincent Hilaire, & Abderrafìâa Koukam. (2006). Modeling Holonic Systems with an Organizational approach.. 6(4). 345–50. 10 indexed citations
19.
20.
Galland, Stéphane, Olivier Lamotte, & Nicolas Gaud. (2004). Infrastructure Design with Multiagent Systems and Virtual Reality Application to the PSA site. 1 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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