Maximilien Danisch

495 total citations
10 papers, 126 citations indexed

About

Maximilien Danisch is a scholar working on Statistical and Nonlinear Physics, Communication and Computer Networks and Communications. According to data from OpenAlex, Maximilien Danisch has authored 10 papers receiving a total of 126 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Statistical and Nonlinear Physics, 2 papers in Communication and 2 papers in Computer Networks and Communications. Recurrent topics in Maximilien Danisch's work include Complex Network Analysis Techniques (6 papers), Opinion Dynamics and Social Influence (4 papers) and Social Media and Politics (2 papers). Maximilien Danisch is often cited by papers focused on Complex Network Analysis Techniques (6 papers), Opinion Dynamics and Social Influence (4 papers) and Social Media and Politics (2 papers). Maximilien Danisch collaborates with scholars based in France, Czechia and India. Maximilien Danisch's co-authors include Hernán A. Makse, Yuliang Jin, Mauro Sozio, T-H. Hubert Chan, Jean‐Loup Guillaume, Bivas Mitra, Bénédicte Le Grand, Adrian Baule, Mohit Sharma and Romain Mari and has published in prestigious journals such as Proceedings of the VLDB Endowment, Journal of Statistical Mechanics Theory and Experiment and Social Network Analysis and Mining.

In The Last Decade

Maximilien Danisch

10 papers receiving 123 citations

Peers

Maximilien Danisch
Comparison fields: 5 of 44
  • Artificial Intelligence 38
  • Statistical and Nonlinear Physics 37
  • Materials Chemistry 35
  • Computer Vision and Pattern Recognition 30
  • Computational Mechanics 25
Replace Fabian B. Fuchs with:
Fabian B. Fuchs Germany
Akhilesh Kumar United States
Kartik Sharma India
Nestor Evmorfopoulos Greece
Kishan Chand Gupta India
Asia Ivić Weiss Canada
Zhongqiang Gao China
Georg Hahn United States
Samuel Daulton Israel
Hangrui Bi China
Fabian B. Fuchs Germany View profile →
Citations per field, relative to Maximilien Danisch
Maximilien Danisch · 1×
Citations per year, relative to Maximilien Danisch
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Countries citing papers authored by Maximilien Danisch

Since Specialization
Citations

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

Fields of papers citing papers by Maximilien Danisch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maximilien Danisch

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

All Works

10 of 10 papers shown
# Work Indexed citations
1 34
2 3
3 15
4 7
5 5
6 1
7 3
8 7
9 49
10 2

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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