Daniel T. Kaplan

5.1k citations
75 papers · 3.7k · 1 hit paper · h-index 28

Impact in

Papers in

Daniel T. Kaplan

69 papers receiving 3.6k citations

Daniel T. Kaplan's Hit Papers

Understanding Nonlinear Dynamics 1996 · 506 citations
5060+10+20Years since publication100200300400500

Peers

Daniel T. Kaplan
Comparison fields: 5 of 168
  • Statistical and Nonlinear Physics 952
  • Cardiology and Cardiovascular Medicine 1.1k
  • Cognitive Neuroscience 870
  • Economics and Econometrics 902
  • Signal Processing 253
Replace B. Galdrikian with:
B. Galdrikian United States
Bernd Pompe Germany
Joseph P. Zbilut United States
Ronny P. Bartsch Israel
Zbigniew R. Struzik Japan
Marko Thiel Germany
M. Carmen Romano United Kingdom
Paul E. Rapp United States
Jianbo Gao United States
Niels Wessel Germany
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Citations per year

Countries citing papers authored by Daniel T. Kaplan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Daniel T. Kaplan Line = papers co-authored together Daniel T. Kaplan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Understanding Nonlinear Dynamics
Hit paper breakdown →
1996506
2 1995402
3 1991365
4 1992300
5 1997174
6 1990145
7 2005136
8 1996122
9 1996118
10 2002107
11 2007102
12 1998100
13 199897
14 200286
15 199185
16 200367
17 200265
18 199559
19 199556
20
Time series analysis of complex dynamics in physiology and medicine.
199355

About Daniel T. Kaplan

Daniel T. Kaplan is a scholar working on Cardiology and Cardiovascular Medicine, Statistical and Nonlinear Physics, Economics and Econometrics, Cognitive Neuroscience and Biomedical Engineering, having authored 75 papers that have together received 3.7k indexed citations. Recurring topics across this work include Heart Rate Variability and Autonomic Control (16 papers), Complex Systems and Time Series Analysis (15 papers), Cardiac electrophysiology and arrhythmias (14 papers), Chaos control and synchronization (13 papers), Neural dynamics and brain function (9 papers), EEG and Brain-Computer Interfaces (8 papers), ECG Monitoring and Analysis (8 papers) and Non-Invasive Vital Sign Monitoring (7 papers). The work is most often cited by research in Statistical and Nonlinear Physics (952 citations), Cardiology and Cardiovascular Medicine (1.1k citations), Cognitive Neuroscience (870 citations), Economics and Econometrics (902 citations) and Signal Processing (253 citations). Daniel T. Kaplan has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Leon Glass, Leon Glass, Stanley A. Berger, Richard J. Cohen, Ary L. Goldberger, Steven M. Pincus, Lewis A. Lipsitz, M.I. Furman, Jochen Jungeilges and Mark J. Jensen. Their work appears in journals such as Physical Review Letters, Journal of Cardiovascular Electrophysiology, IEEE Transactions on Biomedical Engineering, Academic Emergency Medicine and Physica D Nonlinear Phenomena.

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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