Maximilian Schich

645 total citations
22 papers, 331 citations indexed

About

Maximilian Schich is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics and Sociology and Political Science. According to data from OpenAlex, Maximilian Schich has authored 22 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cognitive Neuroscience, 6 papers in Statistical and Nonlinear Physics and 5 papers in Sociology and Political Science. Recurrent topics in Maximilian Schich's work include Aesthetic Perception and Analysis (8 papers), Complex Network Analysis Techniques (4 papers) and Opinion Dynamics and Social Influence (4 papers). Maximilian Schich is often cited by papers focused on Aesthetic Perception and Analysis (8 papers), Complex Network Analysis Techniques (4 papers) and Opinion Dynamics and Social Influence (4 papers). Maximilian Schich collaborates with scholars based in Estonia, United States and United Kingdom. Maximilian Schich's co-authors include Albert-Ĺaszló Barabási, Chaoming Song, Dirk Helbing, Mauro Martino, Zhiren Huang, Fan Zhang, Jianxi Gao, Pu Wang, Ginestra Bianconi and Gourab Ghoshal and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Physical Review Letters.

In The Last Decade

Maximilian Schich

18 papers receiving 311 citations

Peers

Maximilian Schich
Comparison fields: 5 of 94
  • Statistical and Nonlinear Physics 81
  • Sociology and Political Science 67
  • Transportation 54
  • Computer Vision and Pattern Recognition 49
  • Economics and Econometrics 48
Replace Saatviga Sudhahar with:
Saatviga Sudhahar United Kingdom
Giulia Bonelli United Kingdom
Ziad Kobti Canada
Lionel Tabourier France
Martin Grandjean Switzerland
Clemens Drews United States
Fabíola S. F. Pereira Brazil
Amir Ghasemian United States
Mariano Beguerisse-Díaz United Kingdom
Alexander V. Mantzaris United States
Saatviga Sudhahar United Kingdom View profile →
Citations per field, relative to Maximilian Schich
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Citations per year, relative to Maximilian Schich
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Countries citing papers authored by Maximilian Schich

Since Specialization
Citations

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

Fields of papers citing papers by Maximilian Schich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maximilian Schich

This figure shows the co-authorship network connecting the top 25 collaborators of Maximilian Schich. A scholar is included among the top collaborators of Maximilian Schich 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 Maximilian Schich. Maximilian Schich 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
# Work Indexed citations
1 0
2 1
3 3
4 2
5 13
6 1
7 4
8 12
9 2
10 0
11 3
12 19
13 48
14 2
15 27
16 126
17
Dynamics of Ranking Processes in Complex Systems
53
18 9
19 0
20 3

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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