Christophe Lang

43 papers receiving 282 citations

Peers

Christophe Lang
Comparison fields: 5 of 90
  • Transportation 43
  • Medical Laboratory Technology 7
  • Management Science and Operations Research 55
  • Computer Networks and Communications 67
  • Management Information Systems 21
Replace Herman Akdag with:
Herman Akdag France
Timothy I. Matis United States
Iván Mura Italy
Chrysafis Vogiatzis United States
Shafagh Jafer United States
Kalliopi Kravari Greece
Linfang Ding Germany
Fatima Benbouzid-Si Tayeb Algeria
David Masad United States
Alberto Fernández-Isabel Spain
Christophe Lang relative to Herman Akdag France Herman Akdag's profile →
Citations per field
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Herman Akdag · 1×
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 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201638
2 201620
3 201420
4 202120
5 201518
6 200417
7 201816
8 200213
9 202012
10 201212
11 201610
12 201410
13 20059
14 20158
15 20156
16 20145
17 20115
18 20115
19 20165
20 20054

About Christophe Lang

Christophe Lang is a scholar working on Computer Networks and Communications, Artificial Intelligence, Management Science and Operations Research, Management Information Systems and Information Systems, having authored 49 papers that have together received 296 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (9 papers), Multi-Agent Systems and Negotiation (8 papers), Simulation Techniques and Applications (8 papers), Business Process Modeling and Analysis (7 papers), Service-Oriented Architecture and Web Services (6 papers), Transportation and Mobility Innovations (5 papers), Mobile Agent-Based Network Management (4 papers) and Scientific Computing and Data Management (4 papers). The work is most often cited by research in Transportation (43 citations), Medical Laboratory Technology (7 citations), Management Science and Operations Research (55 citations), Computer Networks and Communications (67 citations) and Management Information Systems (21 citations). Christophe Lang has collaborated with scholars based in France, United States and Tunisia. Frequent co-authors include Laurent Philippe, Nicolas Marilleau, Arnaud Banos, Noureddine Zerhouni, Patrick Giraudoux, Julien Henriet, S. Hurley, Luc Biju‐Duval, Fabrice Bouquet and Patrick Taillandier. Their work appears in journals such as Agriculture Ecosystems & Environment, Expert Systems with Applications, PLoS ONE, Computer Science Review and Computers in Biology and Medicine.

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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