Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
How social influence can undermine the wisdom of crowd effect
Countries citing papers authored by Frank Schweitzer
Since
Specialization
Citations
This map shows the geographic impact of Frank Schweitzer'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 Frank Schweitzer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frank Schweitzer more than expected).
Fields of papers citing papers by Frank Schweitzer
This network shows the impact of papers produced by Frank Schweitzer. 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 Frank Schweitzer. The network helps show where Frank Schweitzer may publish in the future.
Co-authorship network of co-authors of Frank Schweitzer
This figure shows the co-authorship network connecting the top 25 collaborators of Frank Schweitzer.
A scholar is included among the top collaborators of Frank Schweitzer 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 Frank Schweitzer. Frank Schweitzer is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Scholtes, Ingo, Marcelo Serrano Zanetti, Claudio J. Tessone, & Frank Schweitzer. (2015). Automated Software Remodularization Based on Move Refactoring - A Complex Systems Approach.. 85–86.1 indexed citations
9.
Scholtes, Ingo, et al.. (2013). Slow-Down vs. Speed-Up of Information Diffusion in Non-Markovian Temporal Networks.. arXiv (Cornell University).7 indexed citations
Schweitzer, Frank. (2007). Biology, Sociology, Geology by Computational Physicists (Monograph Series on Nonlinear Science and Complexity) by Dietrich Stauffer, Suzana Moss de Oliveira, Paulo Murilo Castro de Oliveira and Jorge Simoes de Sa Martins .. Journal of Artificial Societies and Social Simulation. 10.2 indexed citations
14.
Mach, Robert L. & Frank Schweitzer. (2006). Modeling Vortex Swarming In Daphnia. Bulletin of Mathematical Biology. 69(2). 539–562.37 indexed citations
Schweitzer, Frank & Gerald Silverberg. (1998). Evolution und Selbstorganisation in der Ökonomie = Evolution and self-organization in economics. Duncker & Humblot eBooks.1 indexed citations
20.
Schweitzer, Frank & H. Haken. (1997). Self-organization of complex structures : from individual to collective dynamics.148 indexed citations
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.