Julien Bidot

425 total citations
12 papers, 238 citations indexed

About

Julien Bidot is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Julien Bidot has authored 12 papers receiving a total of 238 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 5 papers in Computer Networks and Communications and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Julien Bidot's work include AI-based Problem Solving and Planning (7 papers), Constraint Satisfaction and Optimization (4 papers) and Robotic Path Planning Algorithms (4 papers). Julien Bidot is often cited by papers focused on AI-based Problem Solving and Planning (7 papers), Constraint Satisfaction and Optimization (4 papers) and Robotic Path Planning Algorithms (4 papers). Julien Bidot collaborates with scholars based in Germany, Sweden and Canada. Julien Bidot's co-authors include Alessandro Saffiotti, Lars Karlsson, Fabien Lagriffoul, Thierry Vidal, Philippe Laborie, J. Christopher Beck, Dimitar Dimitrov, Ulrich Hillenbrand, Christos Goumopoulos and Florian Schmidt and has published in prestigious journals such as Artificial Intelligence, The International Journal of Robotics Research and Journal of Scheduling.

In The Last Decade

Julien Bidot

12 papers receiving 223 citations

Peers

Julien Bidot

CVPR

AI

CSE

IME

CNC

Patrick Eyerich Germany

Michael Cashmore United Kingdom

Meng Fang China

Gerhard Ebenhofer Austria

Quentin Cappart Canada

Irwan Bello United States

Felipe Trevizan Australia

Hongyao Tang China

Edilson Reis Rodrigues Kato Brazil

Jens Oehlerking Germany

Patrick Eyerich Germany

Julien Bidot

120 ×1.0

CVPR

347 ×3.1

AI

56 ×0.6

CSE

33 ×0.5

IME

87 ×2.6

CNC

Citations per year, relative to Julien Bidot Julien Bidot (= 1×) peers Patrick Eyerich

Countries citing papers authored by Julien Bidot

Since Specialization

Citations

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

Fields of papers citing papers by Julien Bidot

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julien Bidot

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

All Works

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12 of 12 papers shown

1.

Bidot, Julien, Lars Karlsson, Fabien Lagriffoul, & Alessandro Saffiotti. (2015). Geometric backtracking for combined task and motion planning in robotic systems. Artificial Intelligence. 247. 229–265. 44 indexed citations

2.

Lagriffoul, Fabien, Dimitar Dimitrov, Julien Bidot, Alessandro Saffiotti, & Lars Karlsson. (2014). Efficiently combining task and motion planning using geometric constraints. The International Journal of Robotics Research. 33(14). 1726–1747. 69 indexed citations

3.

Lagriffoul, Fabien, Lars Karlsson, Julien Bidot, & Alessandro Saffiotti. (2013). Combining Task and Motion Planning is Not Always a Good Idea. 5 indexed citations

4.

Karlsson, Lars, Julien Bidot, Fabien Lagriffoul, et al.. (2012). Combining task and path planning for a humanoid two-arm robotic system. elib (German Aerospace Center). 13–20. 20 indexed citations

5.

Biundo, Susanne, Julien Bidot, & Bernd Schattenberg. (2011). Planning in the Real World. Informatik-Spektrum. 34(5). 443–454. 3 indexed citations

6.

Bidot, Julien, et al.. (2011). Using AI planning and late binding for managing service workflows in intelligent environments. 156–163. 10 indexed citations

7.

Bidot, Julien, et al.. (2010). Verbal Plan Explanations for Hybrid Planning. Multikonferenz Wirtschaftsinformatik. 2309–2320. 8 indexed citations

8.

Bidot, Julien, Thierry Vidal, Philippe Laborie, & J. Christopher Beck. (2008). A theoretic and practical framework for scheduling in a stochastic environment. Journal of Scheduling. 12(3). 315–344. 57 indexed citations

9.

Bidot, Julien, Thierry Vidal, Philippe Laborie, & J. Christopher Beck. (2007). A general framework for scheduling in a stochastic environment. International Joint Conference on Artificial Intelligence. 56–61. 5 indexed citations

10.

Bidot, Julien, Philippe Laborie, J. Christopher Beck, & Thierry Vidal. (2006). USING CONSTRAINT PROGRAMMING AND SIMULATION FOR EXECUTION MONITORING AND PROGRESSIVE SCHEDULING. IFAC Proceedings Volumes. 39(3). 615–620. 4 indexed citations

11.

Bidot, Julien, Philippe Laborie, J. Christopher Beck, & Thierry Vidal. (2003). Using simuation for execution monitoring and on-line rescheduling with uncertain durations. Örebro University Library (Örebro University). 16–23. 12 indexed citations

12.

Vidal, Thierry & Julien Bidot. (2001). Dynamic sequencing of tasks insSimple temporal networks with uncertainty. 39–48. 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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