Clara Stegehuis

523 citations
29 papers · 275 indexed · h-index 8
Topics
Complex Network Analysis Techniques (20 papers)Stochastic processes and statistical mechanics (9 papers)Opinion Dynamics and Social Influence (7 papers)

In The Last Decade

Clara Stegehuis

25 papers receiving 270 citations

Peers

Clara Stegehuis
Comparison fields: 5 of 59
  • Statistical and Nonlinear Physics 162
  • Mathematical Physics 47
  • Management Information Systems 41
  • Modeling and Simulation 38
  • Computer Networks and Communications 31
Replace Mariana Olvera‐Cravioto with:
Mariana Olvera‐Cravioto United States
Chang Ying-xiang China
Anja Sturm Germany
Sofiya Ostrovska Türkiye
Marc Maier United States
Mahmoudreza Babaei Germany
Mathias Staudigl Netherlands
Oren Ben-Zwi Israel
Xiao-Long Ren China
Francesco Pasquale Italy
Clara Stegehuis relative to Mariana Olvera‐Cravioto United States Mariana Olvera‐Cravioto's profile →
Citations per field
00.5×10×12.7×
Mariana Olvera‐Cravioto · 1×
Citations per year

Countries citing papers authored by Clara Stegehuis

Since Specialization
Citations

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

Fields of papers citing papers by Clara Stegehuis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Clara Stegehuis

This figure shows the co-authorship network connecting the top 25 collaborators of Clara Stegehuis. A scholar is included among the top collaborators of Clara Stegehuis 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 Clara Stegehuis. Clara Stegehuis 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 1
2 0
3 1
4 0
5 3
6 0
7 12
8 5
9 1
10
Robust subgraph counting with distribution-free random graph analysis
3
11 1
12 8
13 8
14 4
15 3
16
Clustering Spectrum of hierarchical scale-free networks.
1
17
Limit theorems for assortativity and clustering in the configuration model with scale-free degrees
2
18 16
19 7
20 117

About Clara Stegehuis

Clara Stegehuis is a scholar working on Statistical and Nonlinear Physics, Mathematical Physics and Geometry and Topology, having authored 29 papers that have together received 275 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (20 papers), Stochastic processes and statistical mechanics (9 papers) and Opinion Dynamics and Social Influence (7 papers). The work is most often cited by research in Statistical and Nonlinear Physics (162 citations), Modeling and Simulation (38 citations) and Mathematical Physics (47 citations). Clara Stegehuis has collaborated with scholars based in Netherlands, Italy and Australia. Frequent co-authors include Remco van der Hofstad, Johan S. H. van Leeuwaarden, A.G. de Kok, Zümbül Atan, Ivo Adan, A. J. E. M. Janssen, Suzan Bayhan, Nelly Litvak, Laurent Massoulié and Pu Gao. Their work appears in journals such as Nature Communications, PLoS ONE and Scientific Reports.

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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2026