Todd Young

64 papers receiving 448 citations

Peers

Todd Young
Comparison fields: 5 of 126
  • Computational Mathematics 5
  • Modeling and Simulation 36
  • Statistical and Nonlinear Physics 80
  • Mathematical Physics 56
  • Tourism, Leisure and Hospitality Management 8
Replace Jacek Miȩkisz with:
Jacek Miȩkisz Poland
Daniel P. Mäki United States
Stephen J. Merrill United States
Pavel N. Krivitsky Australia
Phillip Kent United Kingdom
Gábor Lippner United States
J. G. Oliveira Portugal
Iacopo Iacopini United Kingdom
Nancy Rodríguez United States
Pablo M. Rodríguez Brazil
Todd Young relative to Jacek Miȩkisz Poland Jacek Miȩkisz's profile →
Citations per field
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Jacek Miȩkisz · 1×
Citations per year

Countries citing papers authored by Todd Young

Since Specialization
Citations

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

Fields of papers citing papers by Todd Young

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Todd Young, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Todd Young Line = papers co-authored together Todd Young links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198366
2 202351
3 199128
4 197822
5 200321
6 200920
7 199219
8 197418
9 200315
10 201015
11 199115
12
Non-invasive detection of pulmonary pathogens in ventilator-circuit filters by PCR.
201214
13 201113
14
200613
15 199812
16 20149
17 20089
18
The Structure of Populations of Budding Yeast in Response to Feedback
20118
19 20028
20 20147

About Todd Young

Todd Young is a scholar working on Statistical and Nonlinear Physics, Mathematical Physics, Molecular Biology, Computer Networks and Communications and Geometry and Topology, having authored 68 papers that have together received 501 indexed citations. Recurring topics across this work include Mathematical Dynamics and Fractals (14 papers), Gene Regulatory Network Analysis (12 papers), Nonlinear Dynamics and Pattern Formation (11 papers), Advanced Differential Equations and Dynamical Systems (9 papers), Chaos control and synchronization (8 papers), Quantum chaos and dynamical systems (8 papers), Complex Systems and Time Series Analysis (5 papers) and Fungal and yeast genetics research (4 papers). The work is most often cited by research in Computational Mathematics (5 citations), Modeling and Simulation (36 citations), Statistical and Nonlinear Physics (80 citations), Mathematical Physics (56 citations) and Tourism, Leisure and Hospitality Management (8 citations). Todd Young has collaborated with scholars based in United States, Netherlands and Mexico. Frequent co-authors include Barry Schwartz, Ale Jan Homburg, Erik M. Boczko, Valentin Afraimovich, Garth Massey, Shifaa O. Alshammari, David R. Harris, Clarence M. Lee, Chris C. Stowers and Bruce A. Arrigo. Their work appears in journals such as Discrete and Continuous Dynamical Systems, International Journal of Bifurcation and Chaos, Journal of Biological Dynamics, Contemporary Sociology A Journal of Reviews and Sociological Inquiry.

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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