Christophe Deissenberg

27 papers receiving 309 citations

Peers

Christophe Deissenberg
Comparison fields: 5 of 75
  • Economics and Econometrics 180
  • General Economics, Econometrics and Finance 90
  • Computer Networks and Communications 54
  • Finance 50
  • Management Science and Operations Research 44
Replace Sander van der Hoog with:
Sander van der Hoog Germany
Peter Zadrozny United States
Gianfranco Giulioni Italy
Terje Hansen Norway
Yuri M. Kaniovski Austria
Manipushpak Mitra India
Sha Zhu China
Nicoló Pecora Italy
Giancarlo Gandolfo Italy
Eran Hanany Israel
Christophe Deissenberg relative to Sander van der Hoog Germany Sander van der Hoog's profile →
Citations per field
00.5×4.9×
Sander van der Hoog · 1×
Citations per year

Countries citing papers authored by Christophe Deissenberg

Since Specialization
Citations

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

Fields of papers citing papers by Christophe Deissenberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christophe Deissenberg

This figure shows the co-authorship network connecting the top 25 collaborators of Christophe Deissenberg. A scholar is included among the top collaborators of Christophe Deissenberg 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 Christophe Deissenberg. Christophe Deissenberg 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
#WorkIndexed citations
1 0
2
Large-scale Modelling of Economic Systems
4
3 18
4 164
5
Modelling Requirements for EURACE
1
6
Advertising, Negative Word-of-Mouth, and Product Acceptance
1
7 1
8 5
9
Economic complexity : non-linear dynamics, multi-agents economies, and learning
29
10 1
11 1
12 1
13 8
14 3
15 1
16 5
17 2
18 5
19 0
20 44

About Christophe Deissenberg

Christophe Deissenberg is a scholar working on General Economics, Econometrics and Finance, Economics and Econometrics and General Decision Sciences, having authored 30 papers that have together received 335 indexed citations. Recurring topics across this work include Economic theories and models (15 papers), Complex Systems and Time Series Analysis (7 papers) and Monetary Policy and Economic Impact (5 papers). The work is most often cited by research in General Economics, Econometrics and Finance (90 citations), Economics and Econometrics (180 citations) and Finance (50 citations). Christophe Deissenberg has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Herbert Dawid, Sander van der Hoog, William A. Barnett, Gustav Feichtinger, Jasmina Arifovic, Francisco Álvarez, Richard F. Hartl, G. R. Boynton, Tamer Başar and Thomas Vallée. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, Journal of Economic Behavior & Organization and Applied Mathematics and Computation.

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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