Christophe Lang

461 citations
34 papers · 179 · h-index 9

Impact in

Papers in

Christophe Lang

26 papers receiving 167 citations

Peers

Christophe Lang
Comparison fields: 5 of 88
  • Medical Laboratory Technology 6
  • Transportation 24
  • Management Information Systems 17
  • Modeling and Simulation 8
  • Industrial and Manufacturing Engineering 16
Replace Hidenori Kawamura with:
Hidenori Kawamura Japan
Kalliopi Kravari Greece
Hassan Badir Morocco
Matteo Francia Italy
Timothy I. Matis United States
Alexis Drogoul France
José A. Castellanos-Garzón Spain
Marco Grassia Italy
Jérôme Gensel France
Mariken H.C. Everdij Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by Christophe Lang

Since Specialization
Citations

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

Fields of papers citing papers by Christophe Lang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Christophe Lang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Christophe Lang Line = papers co-authored together Christophe Lang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201631
2 202119
3 201517
4 201616
5 200415
6 201814
7 202010
8 200210
9 20058
10 20156
11 20054
12 20164
13 20073
14 20113
15 20153
16 20142
17 20052
18 20091
19 20151
20
Agent-based spatial simulation with NetLogo : volume 1 : introduction and bases
20151

About Christophe Lang

Christophe Lang is a scholar working on Artificial Intelligence, Computer Networks and Communications, Management Information Systems, Automotive Engineering and Information Systems, having authored 34 papers that have together received 179 indexed citations. Recurring topics across this work include Multi-Agent Systems and Negotiation (6 papers), Business Process Modeling and Analysis (5 papers), Transportation and Mobility Innovations (5 papers), Service-Oriented Architecture and Web Services (5 papers), 3D Modeling in Geospatial Applications (4 papers), Mobile Agent-Based Network Management (4 papers), Distributed and Parallel Computing Systems (3 papers) and AI-based Problem Solving and Planning (3 papers). The work is most often cited by research in Medical Laboratory Technology (6 citations), Transportation (24 citations), Management Information Systems (17 citations), Modeling and Simulation (8 citations) and Industrial and Manufacturing Engineering (16 citations). Christophe Lang has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Laurent Philippe, Nicolas Marilleau, Arnaud Banos, Patrick Giraudoux, Julien Henriet, Noureddine Zerhouni, Garrison W. Greenwood, Hervé Guyennet, S. Hurley and F. Auber. Their work appears in journals such as Agriculture Ecosystems & Environment, Expert Systems with Applications, Computer Science Review, Computers in Biology and Medicine and Ecological Modelling.

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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