Christopher C. Strelioff

557 total citations
10 papers, 375 citations indexed

About

Christopher C. Strelioff is a scholar working on Control and Systems Engineering, Artificial Intelligence and Infectious Diseases. According to data from OpenAlex, Christopher C. Strelioff has authored 10 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Control and Systems Engineering, 3 papers in Artificial Intelligence and 2 papers in Infectious Diseases. Recurrent topics in Christopher C. Strelioff's work include Fault Detection and Control Systems (3 papers), Viral Infections and Vectors (2 papers) and Gene Regulatory Network Analysis (2 papers). Christopher C. Strelioff is often cited by papers focused on Fault Detection and Control Systems (3 papers), Viral Infections and Vectors (2 papers) and Gene Regulatory Network Analysis (2 papers). Christopher C. Strelioff collaborates with scholars based in United States, Hong Kong and Singapore. Christopher C. Strelioff's co-authors include Jennifer E. Smith, James P. Crutchfield, R Horn, Kay E. Holekamp, Heather E. Watts, Richard E. Lenski, Alfred Hübler, Jeffrey E. Barrick, James O. Lloyd‐Smith and Dhanasekaran Vijaykrishna and has published in prestigious journals such as Physical Review Letters, Proceedings of the Royal Society B Biological Sciences and Journal of Animal Ecology.

In The Last Decade

Christopher C. Strelioff

10 papers receiving 368 citations

Peers

Christopher C. Strelioff

GENET

EEBS

SPS

Ryan Lukeman Canada

Daniel Strömbom United States

Benjamin Pettit United Kingdom

Imen Saïd France

Akos Dobay Switzerland

Stéphane Canonge Belgium

Steven Hamblin Australia

Florin Tache Romania

Sepideh Bazazi United States

Ryan Lukeman Canada

Christopher C. Strelioff

84 ×0.6

GENET

34 ×0.4

135 ×1.6

EEBS

58 ×0.8

SPS

70 ×1.0

Citations per year, relative to Christopher C. Strelioff Christopher C. Strelioff (= 1×) peers Ryan Lukeman

Countries citing papers authored by Christopher C. Strelioff

Since Specialization

Citations

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

Fields of papers citing papers by Christopher C. Strelioff

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher C. Strelioff. 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 Christopher C. Strelioff. The network helps show where Christopher C. Strelioff may publish in the future.

Co-authorship network of co-authors of Christopher C. Strelioff

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

All Works

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10 of 10 papers shown

Buhnerkempe, Michael, Katherine C. Prager, Christopher C. Strelioff, et al.. (2017). Detecting signals of chronic shedding to explain pathogen persistence:Leptospira interrogansinCalifornia sea lions. Journal of Animal Ecology. 86(3). 460–472. 9 indexed citations

Strelioff, Christopher C. & James P. Crutchfield. (2014). Bayesian structural inference for hidden processes. Physical Review E. 89(4). 42119–42119. 29 indexed citations

Strelioff, Christopher C., Dhanasekaran Vijaykrishna, Steven Riley, et al.. (2013). Inferring patterns of influenza transmission in swine from multiple streams of surveillance data. Proceedings of the Royal Society B Biological Sciences. 280(1762). 20130872–20130872. 11 indexed citations

Holekamp, Kay E., Jennifer E. Smith, Christopher C. Strelioff, R Horn, & Heather E. Watts. (2011). Society, demography and genetic structure in the spotted hyena. Molecular Ecology. 21(3). 613–632. 151 indexed citations

Barrick, Jeffrey E., et al.. (2010). Escherichia coli rpoB Mutants Have Increased Evolvability in Proportion to Their Fitness Defects. Molecular Biology and Evolution. 27(6). 1338–1347. 99 indexed citations

Strelioff, Christopher C., Richard E. Lenski, & Charles Ofria. (2010). Evolutionary dynamics, epistatic interactions, and biological information. Journal of Theoretical Biology. 266(4). 584–594. 7 indexed citations

Strelioff, Christopher C., James P. Crutchfield, & Alfred Hübler. (2007). Publisher's Note: Inferring Markov chains: Bayesian estimation, model comparison, entropy rate, and out-of-class modeling [Phys. Rev. E76, 011106 (2007)]. Physical Review E. 76(1). 1 indexed citations

Strelioff, Christopher C., James P. Crutchfield, & Alfred Hübler. (2007). Inferring Markov chains: Bayesian estimation, model comparison, entropy rate, and out-of-class modeling. Physical Review E. 76(1). 11106–11106. 42 indexed citations

Strelioff, Christopher C. & James P. Crutchfield. (2007). Optimal instruments and models for noisy chaos. Chaos An Interdisciplinary Journal of Nonlinear Science. 17(4). 43127–43127. 2 indexed citations

10.

Strelioff, Christopher C. & Alfred Hübler. (2006). Medium-Term Prediction of Chaos. Physical Review Letters. 96(4). 44101–44101. 24 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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