Thomas T. Imhoff

3.0k citations
10 papers · 2.1k · 1 hit paper · h-index 9

Impact in

Papers in

Thomas T. Imhoff

10 papers receiving 2.1k citations

Thomas T. Imhoff's Hit Papers

Stochastic resonance without tuning 1995 · 684 citations
6840+10+20Years since publication200400600

Peers

Thomas T. Imhoff
Comparison fields: 5 of 96
  • Statistical and Nonlinear Physics 1.7k
  • Cognitive Neuroscience 1.1k
  • Statistics, Probability and Uncertainty 244
  • Computer Networks and Communications 725
  • Global and Planetary Change 416
Replace Eleni Pantazelou with:
Eleni Pantazelou United States
Massimo Riani Italy
Christian W. Eurich Germany
Juan Luis Cabrera Venezuela
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Huaguang Gu China
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Vladimir Maksimenko Russia
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Thomas T. Imhoff relative to Eleni Pantazelou United States Eleni Pantazelou's profile →
Citations per field
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Citations per year

Countries citing papers authored by Thomas T. Imhoff

Since Specialization
Citations

This map shows the geographic impact of Thomas T. Imhoff'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 Thomas T. Imhoff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas T. Imhoff more than expected).

Fields of papers citing papers by Thomas T. Imhoff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas T. Imhoff. 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 Thomas T. Imhoff. The network helps show where Thomas T. Imhoff may publish in the future.

Co-authors

The 8 scholars most cited alongside Thomas T. Imhoff, 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 Thomas T. Imhoff Line = papers co-authored together Thomas T. Imhoff links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1
Stochastic resonance without tuning
Hit paper breakdown →
1995684
2 1995389
3 1996333
4 1996264
5 1997175
6 1996125
7 1998114
8 199834
9 199825
10 19956

About Thomas T. Imhoff

Thomas T. Imhoff is a scholar working on Statistical and Nonlinear Physics, Cognitive Neuroscience, Computer Networks and Communications, Molecular Biology and Cellular and Molecular Neuroscience, having authored 10 papers that have together received 2.1k indexed citations. Recurring topics across this work include Neural dynamics and brain function (9 papers), stochastic dynamics and bifurcation (9 papers), Nonlinear Dynamics and Pattern Formation (6 papers), Diffusion and Search Dynamics (2 papers), Neuroscience and Neural Engineering (1 paper), Chaos control and synchronization (1 paper), Ecosystem dynamics and resilience (1 paper) and Plant and Biological Electrophysiology Studies (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (1.7k citations), Cognitive Neuroscience (1.1k citations), Statistics, Probability and Uncertainty (244 citations), Computer Networks and Communications (725 citations) and Global and Planetary Change (416 citations). Thomas T. Imhoff has collaborated with scholars based in United States. Frequent co-authors include James J. Collins, Carson C. Chow, P. Grigg, Peter Grigg, Kristen A. Richardson, Conor Heneghan, Malvin C. Teich and Steven B. Lowen. Their work appears in journals such as Chaos An Interdisciplinary Journal of Nonlinear Science, Nature, Journal of Neurophysiology, Physical Review Letters and Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

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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