Sean P. Cornelius

1.5k total citations · 1 hit paper
18 papers, 986 citations indexed

About

Sean P. Cornelius is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Molecular Biology. According to data from OpenAlex, Sean P. Cornelius has authored 18 papers receiving a total of 986 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Statistical and Nonlinear Physics, 4 papers in Computer Networks and Communications and 4 papers in Molecular Biology. Recurrent topics in Sean P. Cornelius's work include Complex Network Analysis Techniques (5 papers), Gene Regulatory Network Analysis (3 papers) and Evolution and Genetic Dynamics (3 papers). Sean P. Cornelius is often cited by papers focused on Complex Network Analysis Techniques (5 papers), Gene Regulatory Network Analysis (3 papers) and Evolution and Genetic Dynamics (3 papers). Sean P. Cornelius collaborates with scholars based in United States, Canada and China. Sean P. Cornelius's co-authors include Aming Li, Adilson E. Motter, Yang‐Yu Liu, Long Wang, William L. Kath, Albert-Ĺaszló Barabási, Simon A. Levin, Qi Su, Lei Zhou and Jianxi Gao and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Sean P. Cornelius

17 papers receiving 963 citations

Hit Papers

align trajectories

What are hit papers?

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.

The fundamental advantages of temporal networks

2017 303 citations Aming Li, Sean P. Cornelius et al. Science profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Sean P. Cornelius United States	9	380	226	220	194	110	18	986
Partha Sharathi Dutta India	18	245 0.6×	581 2.6×	70 0.3×	58 0.3×	101 0.9×	87	1.2k
Shang-Hwa Hsu Taiwan	17	76 0.2×	257 1.1×	432 2.0×	123 0.6×	877 8.0×	28	1.9k
Jingfang Fan China	15	464 1.2×	82 0.4×	195 0.9×	45 0.2×	32 0.3×	47	1.2k
Chiara Mocenni Italy	14	112 0.3×	84 0.4×	76 0.3×	39 0.2×	52 0.5×	65	593
Daniel M. Dubois Belgium	13	90 0.2×	57 0.3×	72 0.3×	44 0.2×	45 0.4×	102	777
Oliver Boisseau United Kingdom	10	1.2k 3.3×	202 0.9×	108 0.5×	301 1.6×	41 0.4×	29	1.9k
Francesca Di Patti Italy	12	294 0.8×	312 1.4×	33 0.1×	235 1.2×	73 0.7×	33	702
S. Rinaldi Italy	17	380 1.0×	413 1.8×	174 0.8×	48 0.2×	491 4.5×	68	1.7k
Pablo Kaluza Germany	7	195 0.5×	79 0.3×	39 0.2×	93 0.5×	33 0.3×	15	808
Karsten Steinhaeuser United States	16	249 0.7×	75 0.3×	30 0.1×	53 0.3×	19 0.2×	28	1.0k

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

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18 of 18 papers shown

Darooneh, Amir H., et al.. (2025). SEEDNet: Covariate-free multi-country settlement-level epidemiological estimates datasets for network analysis. Scientific Data. 12(1). 975–975. 1 indexed citations

Zhang, Yuanzhao, et al.. (2025). How more data can hurt: Instability and regularization in next-generation reservoir computing. Chaos An Interdisciplinary Journal of Nonlinear Science. 35(7). 1 indexed citations

Cornelius, Sean P., et al.. (2024). Dynamics of collective cooperation under personalised strategy updates. Nature Communications. 15(1). 3125–3125. 13 indexed citations

Cornelius, Sean P., et al.. (2024). Mitochondrial Network Branching Enables Rapid Protein Spread with Slower Mitochondrial Dynamics. 2(4).

Zhang, Yuanzhao & Sean P. Cornelius. (2023). Catch-22s of reservoir computing. Physical Review Research. 5(3). 17 indexed citations

Cornelius, Sean P., et al.. (2023). Temporality-induced chaos in the Kuramoto Model. SHILAP Revista de lepidopterología. 5(1). 1 indexed citations

Wu, Hao, Xiangyi Meng, Michael M. Danziger, et al.. (2022). Fragmentation of outage clusters during the recovery of power distribution grids. Nature Communications. 13(1). 7372–7372. 6 indexed citations

Zhang, Huixin & Sean P. Cornelius. (2022). Sharpening the Universality of Network Resilience Patterns using Motifs. Journal of Physics Conference Series. 2207(1). 12010–12010. 2 indexed citations

Deng, Hengfang, Daniel P. Aldrich, Michael M. Danziger, et al.. (2021). High-resolution human mobility data reveal race and wealth disparities in disaster evacuation patterns. Humanities and Social Sciences Communications. 8(1). 65 indexed citations

10.

Li, Aming, Lei Zhou, Qi Su, et al.. (2020). Evolution of cooperation on temporal networks. Nature Communications. 11(1). 2259–2259. 152 indexed citations

11.

Cornelius, Sean P., et al.. (2019). Complex Networks X. CERN Document Server (European Organization for Nuclear Research). 1 indexed citations

12.

Cornelius, Sean P., et al.. (2018). Complex Networks IX. CERN Document Server (European Organization for Nuclear Research). 2 indexed citations

13.

Ramezani, Amin, et al.. (2018). Designing pinning network controllability for interdependent dynamical networks. 3478–3483. 3 indexed citations

14.

Li, Aming, Sean P. Cornelius, Yang‐Yu Liu, Long Wang, & Albert-Ĺaszló Barabási. (2017). The fundamental advantages of temporal networks. Science. 358(6366). 1042–1046. 303 indexed citations breakdown →

15.

Pósfai, Márton, Jianxi Gao, Sean P. Cornelius, Albert-Ĺaszló Barabási, & Raissa M. D’Souza. (2016). Controllability of multiplex, multi-time-scale networks. Physical review. E. 94(3). 32316–32316. 56 indexed citations

16.

Cornelius, Sean P., William L. Kath, & Adilson E. Motter. (2013). Realistic control of network dynamics. Nature Communications. 4(1). 1942–1942. 242 indexed citations

17.

Cornelius, Sean P., Joo Sang Lee, & Adilson E. Motter. (2011). Dispensability of Escherichia coli ’s latent pathways. Proceedings of the National Academy of Sciences. 108(8). 3124–3129. 17 indexed citations

18.

Hanson, Paul C., Stephen R. Carpenter, Nobuaki Kimura, et al.. (2008). Evaluation of metabolism models for free‐water dissolved oxygen methods in lakes. Limnology and Oceanography Methods. 6(9). 454–465. 104 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.

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