Steve Pincus

30 papers receiving 3.4k citations

Steve Pincus's Hit Papers

Approximate entropy (ApEn) as a complexity measure 1995 · 955 citations
9550+10+21Years since publication2505007501000

Peers

Steve Pincus
Comparison fields: 5 of 160
  • Endocrine and Autonomic Systems 298
  • Cardiology and Cardiovascular Medicine 929
  • Endocrinology, Diabetes and Metabolism 624
  • Cognitive Neuroscience 686
  • Behavioral Neuroscience 119
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Kun Hu United States
Alberto Porta Italy
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Gholamreza Salimi‐Khorshidi United Kingdom
Egill Rostrup Denmark
Ronny P. Bartsch Israel
R.I. Kitney United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Steve Pincus

Since Specialization
Citations

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

Fields of papers citing papers by Steve Pincus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Physiological time-series analysis: what does regularity quantify?
Hit paper breakdown →
19941075
2
Approximate entropy (ApEn) as a complexity measure
Hit paper breakdown →
1995955
3 1997193
4 1994191
5 2004138
6 1997137
7 2005133
8 2001120
9 199781
10 200180
11 199253
12 199852
13 200849
14 200237
15 200034
16 199829
17 200024
18 200623
19 199823
20 200119

About Steve Pincus

Steve Pincus is a scholar working on Endocrinology, Diabetes and Metabolism, Economics and Econometrics, Endocrine and Autonomic Systems, Statistical and Nonlinear Physics and Artificial Intelligence, having authored 30 papers that have together received 3.5k indexed citations. Recurring topics across this work include Complex Systems and Time Series Analysis (7 papers), Growth Hormone and Insulin-like Growth Factors (6 papers), Regulation of Appetite and Obesity (6 papers), Computability, Logic, AI Algorithms (4 papers), Pituitary Gland Disorders and Treatments (4 papers), Chaos control and synchronization (3 papers), Neural dynamics and brain function (3 papers) and Heart Rate Variability and Autonomic Control (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (298 citations), Cardiology and Cardiovascular Medicine (929 citations), Endocrinology, Diabetes and Metabolism (624 citations), Cognitive Neuroscience (686 citations) and Behavioral Neuroscience (119 citations). Steve Pincus has collaborated with scholars based in United States, Netherlands and Canada. Frequent co-authors include Ary L. Goldberger, R. E. Kalman, Johannes D. Veldhuis, Michael L. Johnson, Martin Straume, Nelly Mauras, Daniel L. Metzger, Lindsay M. Faunt, Mark L. Hartman and James R. Kerrigan. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Clinical Endocrinology & Metabolism, American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, American Journal of Physiology-Endocrinology and Metabolism and Journal of Clinical Investigation.

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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