Theodore Vo

695 citations
34 papers · 522 · h-index 15

Impact in

Papers in

Theodore Vo

31 papers receiving 497 citations

Peers

Theodore Vo
Comparison fields: 5 of 58
  • Statistical and Nonlinear Physics 376
  • Computer Networks and Communications 289
  • Cognitive Neuroscience 159
  • Behavioral Neuroscience 14
  • Endocrine and Autonomic Systems 20
Replace Wondimu Teka with:
Wondimu Teka United States
Björn Kralemann Germany
Kunichika Tsumoto Japan
Thiago de Lima Prado Brazil
Stephan Bialonski Germany
Laura Cimponeriu Greece
L. Romanelli Argentina
Friedemann Kaiser Germany
Reynaldo D. Pinto Brazil
Stewart Heitmann Australia
Theodore Vo relative to Wondimu Teka United States Wondimu Teka's profile →
Citations per field
00.5×2.8×
Wondimu Teka · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Theodore Vo, 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 Theodore Vo Line = papers co-authored together Theodore Vo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201072
2 201355
3 201142
4 201339
5 201229
6 201624
7 201524
8 201823
9 201921
10 201721
11 201818
12 202117
13 202017
14 201716
15 202014
16 201714
17 201510
18 20189
19 20218
20 20158

About Theodore Vo

Theodore Vo is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Molecular Biology, Cognitive Neuroscience and Cardiology and Cardiovascular Medicine, having authored 34 papers that have together received 522 indexed citations. Recurring topics across this work include stochastic dynamics and bifurcation (22 papers), Nonlinear Dynamics and Pattern Formation (19 papers), Neural dynamics and brain function (7 papers), Advanced Thermodynamics and Statistical Mechanics (4 papers), Cardiac electrophysiology and arrhythmias (4 papers), Ion channel regulation and function (4 papers), Ecosystem dynamics and resilience (3 papers) and Quantum chaos and dynamical systems (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (376 citations), Computer Networks and Communications (289 citations), Cognitive Neuroscience (159 citations), Behavioral Neuroscience (14 citations) and Endocrine and Autonomic Systems (20 citations). Theodore Vo has collaborated with scholars based in United States, Australia and Vietnam. Frequent co-authors include Richard Bertram, Martin Wechselberger, Joël Tabak, Tasso J. Kaper, Wondimu Teka, Mark Kramer, Jonathan E. Rubin, Luca Gerardo‐Giorda, Hans G. Kaper and Hans Engler. Their work appears in journals such as Chaos An Interdisciplinary Journal of Nonlinear Science, SIAM Journal on Applied Dynamical Systems, Physica D Nonlinear Phenomena, Journal of Nonlinear Science and Journal of Computational Neuroscience.

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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