Theodore Vo

673 total citations
31 papers, 483 citations indexed

About

Theodore Vo is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Molecular Biology. According to data from OpenAlex, Theodore Vo has authored 31 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Statistical and Nonlinear Physics, 19 papers in Computer Networks and Communications and 9 papers in Molecular Biology. Recurrent topics in Theodore Vo's work include stochastic dynamics and bifurcation (21 papers), Nonlinear Dynamics and Pattern Formation (19 papers) and Neural dynamics and brain function (7 papers). Theodore Vo is often cited by papers focused on stochastic dynamics and bifurcation (21 papers), Nonlinear Dynamics and Pattern Formation (19 papers) and Neural dynamics and brain function (7 papers). Theodore Vo collaborates with scholars based in United States, Australia and Denmark. Theodore Vo's co-authors include Richard Bertram, Martin Wechselberger, Joël Tabak, Tasso J. Kaper, Mark Kramer, Wondimu Teka, Jonathan E. Rubin, Luca Gerardo‐Giorda, Hans Engler and Hans G. Kaper and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Journal of Theoretical Biology.

In The Last Decade

Theodore Vo

29 papers receiving 452 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Theodore Vo United States 15 350 275 155 102 50 31 483
L. Romanelli Argentina 10 186 0.5× 103 0.4× 135 0.9× 50 0.5× 34 0.7× 43 415
Shinji Doi Japan 12 321 0.9× 257 0.9× 174 1.1× 46 0.5× 22 0.4× 43 396
Wondimu Teka United States 11 275 0.8× 169 0.6× 208 1.3× 38 0.4× 10 0.2× 12 433
Kunichika Tsumoto Japan 14 290 0.8× 201 0.7× 244 1.6× 181 1.8× 128 2.6× 30 582
Björn Kralemann Germany 8 153 0.4× 279 1.0× 293 1.9× 32 0.3× 62 1.2× 8 532
Bing-Wei Li China 12 153 0.4× 273 1.0× 87 0.6× 40 0.4× 30 0.6× 31 382
Stephan Bialonski Germany 16 185 0.5× 154 0.6× 705 4.5× 73 0.7× 23 0.5× 22 937
Paul C. Gailey United States 9 176 0.5× 84 0.3× 153 1.0× 87 0.9× 16 0.3× 16 403
Xuejuan Zhang China 10 242 0.7× 77 0.3× 106 0.7× 83 0.8× 4 0.1× 32 353
Thiago de Lima Prado Brazil 16 333 1.0× 248 0.9× 313 2.0× 33 0.3× 15 0.3× 50 521

Countries citing papers authored by Theodore Vo

Since Specialization
Citations

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

Fields of papers citing papers by Theodore Vo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Theodore Vo

This figure shows the co-authorship network connecting the top 25 collaborators of Theodore Vo. A scholar is included among the top collaborators of Theodore Vo 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 Theodore Vo. Theodore Vo 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
1.
Epstein, Irving R., et al.. (2024). Strong Symmetry Breaking in Coupled, Identical Lengyel–Epstein Oscillators via Folded Singularities. Journal of Nonlinear Science. 34(3). 3 indexed citations
2.
Epstein, Irving R., et al.. (2024). Strong symmetry breaking rhythms created by folded nodes in a pair of symmetrically coupled, identical Koper oscillators. Chaos An Interdisciplinary Journal of Nonlinear Science. 34(5). 1 indexed citations
3.
Kaper, Tasso J., et al.. (2023). Fronts in the Wake of a Parameter Ramp: Slow Passage through Pitchfork and Fold Bifurcations. SIAM Journal on Applied Dynamical Systems. 22(3). 2312–2356. 6 indexed citations
4.
Epstein, Irving R., et al.. (2023). Symmetry-breaking rhythms in coupled, identical fast–slow oscillators. Chaos An Interdisciplinary Journal of Nonlinear Science. 33(1). 11102–11102. 6 indexed citations
5.
Vo, Theodore, et al.. (2021). Fast-slow analysis of a stochastic mechanism for electrical bursting. Chaos An Interdisciplinary Journal of Nonlinear Science. 31(10). 103128–103128. 7 indexed citations
6.
Slim, Anja C., et al.. (2021). Unsteady dynamics of a classical particle-wave entity. Physical review. E. 104(1). 15106–15106. 17 indexed citations
7.
Kaper, Tasso J. & Theodore Vo. (2021). A new class of chimeras in locally coupled oscillators with small-amplitude, high-frequency asynchrony and large-amplitude, low-frequency synchrony. Chaos An Interdisciplinary Journal of Nonlinear Science. 31(12). 123111–123111. 4 indexed citations
8.
Vo, Theodore, et al.. (2020). Canard analysis reveals why a large Ca2+ window current promotes early afterdepolarizations in cardiac myocytes. PLoS Computational Biology. 16(11). e1008341–e1008341. 16 indexed citations
9.
Vo, Theodore, et al.. (2020). Phantom bursting may underlie electrical bursting in single pancreatic β-cells. Journal of Theoretical Biology. 501. 110346–110346. 6 indexed citations
10.
Vo, Theodore, et al.. (2020). Big Ducks in the Heart: Canard Analysis Can Explain Large Early Afterdepolarizations in Cardiomyocytes. SIAM Journal on Applied Dynamical Systems. 19(3). 1701–1735. 13 indexed citations
11.
Vo, Theodore & Richard Bertram. (2019). Why pacing frequency affects the production of early afterdepolarizations in cardiomyocytes: An explanation revealed by slow-fast analysis of a minimal model. Physical review. E. 99(5). 52205–52205. 21 indexed citations
12.
Engler, Hans, Hans G. Kaper, Tasso J. Kaper, & Theodore Vo. (2018). A dynamical systems approach to the Pleistocene climate. EGU General Assembly Conference Abstracts. 5085. 1 indexed citations
13.
Vo, Theodore, et al.. (2018). Transitions between bursting modes in the integrated oscillator model for pancreatic β-cells. Journal of Theoretical Biology. 454. 310–319. 22 indexed citations
14.
Vo, Theodore, et al.. (2018). M-Current Expands the Range of Gamma Frequency Inputs to Which a Neuronal Target Entrains. SHILAP Revista de lepidopterología. 8(1). 13–13. 9 indexed citations
15.
Vo, Theodore. (2017). Generic torus canards. Physica D Nonlinear Phenomena. 356-357. 37–64. 14 indexed citations
16.
Vo, Theodore, Mark Kramer, & Tasso J. Kaper. (2016). Amplitude-Modulated Bursting: A Novel Class of Bursting Rhythms. Physical Review Letters. 117(26). 268101–268101. 23 indexed citations
17.
Vo, Theodore & Martin Wechselberger. (2015). Canards of Folded Saddle-Node Type I. SIAM Journal on Mathematical Analysis. 47(4). 3235–3283. 24 indexed citations
18.
Vo, Theodore, Joël Tabak, Richard Bertram, & Martin Wechselberger. (2013). A geometric understanding of how fast activating potassium channels promote bursting in pituitary cells. Journal of Computational Neuroscience. 36(2). 259–278. 36 indexed citations
19.
Teka, Wondimu, Joël Tabak, Theodore Vo, Martin Wechselberger, & Richard Bertram. (2011). The dynamics underlying pseudo-plateau bursting in a pituitary cell model. PubMed. 1(1). 39 indexed citations
20.
Vo, Theodore, Richard Bertram, Joël Tabak, & Martin Wechselberger. (2010). Mixed mode oscillations as a mechanism for pseudo-plateau bursting. Journal of Computational Neuroscience. 28(3). 443–458. 65 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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