Maximilien Danisch

10 papers and 109 indexed citations i.

About

Maximilien Danisch is a scholar working on Statistical and Nonlinear Physics, Materials Chemistry and Artificial Intelligence. According to data from OpenAlex, Maximilien Danisch has authored 10 papers receiving a total of 109 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Statistical and Nonlinear Physics, 2 papers in Materials Chemistry and 2 papers in Artificial Intelligence. Recurrent topics in Maximilien Danisch’s work include Complex Network Analysis Techniques (6 papers), Opinion Dynamics and Social Influence (4 papers) and Advanced Graph Neural Networks (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 Advanced Graph Neural Networks (2 papers). Maximilien Danisch collaborates with scholars based in France, United States and Czechia. 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, Romain Mari, Adrian Baule and Mohit Sharma 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

Co-authorship network of co-authors of Maximilien Danisch i

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.

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).

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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2025