David Paydarfar

99 papers receiving 3.6k citations

David Paydarfar's Hit Papers

Survey and perspective on verification, validation, and uncertainty quantification of digital twins for precision medicine 2025 · 57 citations
570+1+2Years since publication5001k1.5k

Peers

David Paydarfar
Comparison fields: 5 of 135
  • Endocrine and Autonomic Systems 446
  • Speech and Hearing 290
  • Neurology 319
  • Physiology 980
  • Psychiatry and Mental health 633
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Thomas E. Dick United States
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Citations per field
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Citations per year

Countries citing papers authored by David Paydarfar

Since Specialization
Citations

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

Fields of papers citing papers by David Paydarfar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 104 papers — load more, or switch the sort, to bring in the rest.

#Work
1
New insights into the genetic etiology of Alzheimer’s disease and related dementias
Hit paper breakdown →
20221531
2 1995175
3 2003136
4 2001101
5 200689
6 200980
7 199973
8 202467
9
Survey and perspective on verification, validation, and uncertainty quantification of digital twins for precision medicine
Hit paper breakdown →
202557
10 198653
11 199352
12 200152
13 200452
14 198951
15 202251
16 201650
17 200844
18 199540
19 200735
20 202335

About David Paydarfar

David Paydarfar is a scholar working on Endocrine and Autonomic Systems, Speech and Hearing, Cardiology and Cardiovascular Medicine, Psychiatry and Mental health and Statistical and Nonlinear Physics, having authored 104 papers that have together received 3.7k indexed citations. Recurring topics across this work include Neuroscience of respiration and sleep (31 papers), Non-Invasive Vital Sign Monitoring (8 papers), Heart Rate Variability and Autonomic Control (8 papers), Dysphagia Assessment and Management (7 papers), Alzheimer's disease research and treatments (6 papers), Dementia and Cognitive Impairment Research (5 papers), Nonlinear Dynamics and Pattern Formation (4 papers) and stochastic dynamics and bifurcation (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (446 citations), Speech and Hearing (290 citations), Neurology (319 citations), Physiology (980 citations) and Psychiatry and Mental health (633 citations). David Paydarfar has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Daniel B. Forger, Frederic L. Eldridge, Premananda Indic, John R. Clay, Elisabeth Bloch‐Salisbury, Romolo Gaspari, Daniel Y. Kim, Rebecca A. Prince, Robert B. Banzett and Russell T. Dowell. Their work appears in journals such as The Journal of Physiology, American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, Head & Neck, Chaos An Interdisciplinary Journal of Nonlinear Science and NeuroToxicology.

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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