Sean P. Cornelius

1.5k citations
18 papers · 986 indexed · 1 hit paper · h-index 9
Topics
Complex Network Analysis Techniques (5 papers)Gene Regulatory Network Analysis (3 papers)Evolution and Genetic Dynamics (3 papers)
Partner nations
United StatesCanadaChina

In The Last Decade

Sean P. Cornelius

17 papers receiving 963 citations

Hit Papers

The fundamental advantages of temporal networks20172026202020232017100200300

Peers

Sean P. Cornelius
Comparison fields: 5 of 109
  • Statistical and Nonlinear Physics 380
  • Computer Networks and Communications 226
  • Sociology and Political Science 220
  • Molecular Biology 194
  • Genetics 110
Replace Jingfang Fan with:
Jingfang Fan China
Shang-Hwa Hsu Taiwan
Wenqi Wei United States
Chiara Mocenni Italy
Athen Ma United Kingdom
Daniel M. Dubois Belgium
Karsten Steinhaeuser United States
Oliver Boisseau United Kingdom
Salvatore Miccichè Italy
S. Rinaldi Italy
Sean P. Cornelius relative to Jingfang Fan China Jingfang Fan's profile →
Citations per field
00.5×10×15×18.5×
Jingfang Fan · 1×
Citations per year

Countries citing papers authored by Sean P. Cornelius

Since Specialization
Citations

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

Fields of papers citing papers by Sean P. Cornelius

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sean P. Cornelius. 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 Sean P. Cornelius. The network helps show where Sean P. Cornelius may publish in the future.

Co-authorship network of co-authors of Sean P. Cornelius

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

All Works

18 of 18 papers shown
#WorkIndexed citations
1 1
2 1
3 13
4 0
5 17
6 1
7 6
8 2
9 65
10 152
11 1
12 2
13 3
14
The fundamental advantages of temporal networksbreakdown →
303
15 56
16 242
17 17
18 104

About Sean P. Cornelius

Sean P. Cornelius is a scholar working on Statistical and Nonlinear Physics, Transportation and Computer Networks and Communications, having authored 18 papers that have together received 986 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (5 papers), Gene Regulatory Network Analysis (3 papers) and Evolution and Genetic Dynamics (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (380 citations), Computer Networks and Communications (226 citations) and Oceanography (86 citations). Sean P. Cornelius has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Yang‐Yu Liu, Aming Li, Adilson E. Motter, Long Wang, William L. Kath, Albert-Ĺaszló Barabási, Simon A. Levin, Qi Su, Lei Zhou and Jianxi Gao. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

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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