Daniel T. Kaplan
Impact in
- Statistical and Nonlinear Physics top 0.5%
- Chaos control and synchronization
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- Heart Rate Variability and Autonomic Control
- Cardiac electrophysiology and arrhythmias
- ECG Monitoring and Analysis
Papers in
-
- Chaos control and synchronization 14
-
- Heart Rate Variability and Autonomic Control 17
- Cardiac electrophysiology and arrhythmias 14
- ECG Monitoring and Analysis 8
- Co-authors
- Leon GlassStanley A. BergerRichard J. CohenAry L. GoldbergerLewis A. LipsitzSteven M. PincusM.I. FurmanMelvin J. Hinich
- Journals
- Physical Review Letters (4 papers)Journal of Cardiovascular Electrophysiology (3 papers)Academic Emergency Medicine (2 papers)Clinical EEG and Neuroscience (2 papers)The American Statistician (2 papers)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Daniel T. Kaplan
70 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 171
- Statistical and Nonlinear Physics 973
- Cardiology and Cardiovascular Medicine 1.2k
- Cognitive Neuroscience 936
- Economics and Econometrics 922
- Signal Processing 262
Countries citing papers authored by Daniel T. Kaplan
This map shows the geographic impact of Daniel T. Kaplan'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 Daniel T. Kaplan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel T. Kaplan more than expected).
Fields of papers citing papers by Daniel T. Kaplan
This network shows the impact of papers produced by Daniel T. Kaplan. 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 Daniel T. Kaplan. The network helps show where Daniel T. Kaplan may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel T. Kaplan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 1 | |
| 2 | 2022 | 1 | |
| 3 | The 2-Calabi-Yau property for multiplicative preprojective algebras | 2019 | 1 |
| 4 | 2007 | 4 | |
| 5 | 2007 | 103 | |
| 6 | 2003 | 67 | |
| 7 | 2002 | 63 | |
| 8 | 2002 | 2 | |
| 9 | 2002 | 107 | |
| 10 | 2000 | 11 | |
| 11 | 2000 | 19 | |
| 12 | 1998 | 100 | |
| 13 | 1998 | 7 | |
| 14 | 1994 | 19 | |
| 15 | 1993 | 8 | |
| 16 | 1992 | 299 | |
| 17 | 1991 | 364 | |
| 18 | 1990 | 20 | |
| 19 | 1988 | 33 | |
| 20 | 1983 | 1 |
About Daniel T. Kaplan
Daniel T. Kaplan is a scholar working on Statistical and Nonlinear Physics, Cardiology and Cardiovascular Medicine, Cognitive Neuroscience, Algebra and Number Theory and Economics and Econometrics, having authored 75 papers that have together received 3.7k indexed citations. Recurring topics across this work include Heart Rate Variability and Autonomic Control (17 papers), Complex Systems and Time Series Analysis (15 papers), Cardiac electrophysiology and arrhythmias (14 papers), Chaos control and synchronization (14 papers), Neural dynamics and brain function (11 papers), EEG and Brain-Computer Interfaces (9 papers), ECG Monitoring and Analysis (8 papers) and Non-Invasive Vital Sign Monitoring (8 papers). The work is most often cited by research in Statistical and Nonlinear Physics (973 citations), Cardiology and Cardiovascular Medicine (1.2k citations), Cognitive Neuroscience (936 citations), Economics and Econometrics (922 citations) and Signal Processing (262 citations). Daniel T. Kaplan has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Leon Glass, Leon Glass, Stanley A. Berger, Richard J. Cohen, Ary L. Goldberger, Lewis A. Lipsitz, Steven M. Pincus, M.I. Furman, Melvin J. Hinich and Jochen Jungeilges. Their work appears in journals such as Physical Review Letters, Journal of Cardiovascular Electrophysiology, Academic Emergency Medicine, Clinical EEG and Neuroscience and The American Statistician.
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.