Tom Kuusela

5.7k citations
125 papers · 4.4k · h-index 33

Impact in

Papers in

Tom Kuusela

122 papers receiving 4.2k citations

Peers

Tom Kuusela
Comparison fields: 5 of 156
  • Cardiology and Cardiovascular Medicine 2.7k
  • Complementary and alternative medicine 463
  • Endocrine and Autonomic Systems 252
  • Behavioral Neuroscience 123
  • Biomedical Engineering 977
Replace Giuseppe Baselli with:
Giuseppe Baselli Italy
Andreas Voss Germany
John M. Karemaker Netherlands
Luc Quintin France
Jens Tank Germany
Junichiro Hayano Japan
Matthew N. Levy United States
A. C. Barger United States
Niels Wessel Germany
Vera Novak United States
Tom Kuusela relative to Giuseppe Baselli Italy Giuseppe Baselli's profile →
Citations per field
00.5×1.5×
Giuseppe Baselli · 1×
Citations per year

Countries citing papers authored by Tom Kuusela

Since Specialization
Citations

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

Fields of papers citing papers by Tom Kuusela

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 125 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001468
2 1999425
3 2003383
4 1999254
5 1997211
6 2001147
7 2003109
8 2009102
9 200284
10 200783
11 200882
12 201681
13 200374
14 200371
15 200070
16 200766
17 200762
18 200452
19 200752
20 200449

About Tom Kuusela

Tom Kuusela is a scholar working on Cardiology and Cardiovascular Medicine, Biomedical Engineering, Atomic and Molecular Physics, and Optics, Surgery and Statistical and Nonlinear Physics, having authored 125 papers that have together received 4.4k indexed citations. Recurring topics across this work include Heart Rate Variability and Autonomic Control (54 papers), Non-Invasive Vital Sign Monitoring (15 papers), Nonlinear Photonic Systems (9 papers), Spectroscopy and Laser Applications (9 papers), Cardiovascular Syncope and Autonomic Disorders (9 papers), Quantum Information and Cryptography (9 papers), Cardiovascular and exercise physiology (9 papers) and Advanced Chemical Sensor Technologies (9 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (2.7k citations), Complementary and alternative medicine (463 citations), Endocrine and Autonomic Systems (252 citations), Behavioral Neuroscience (123 citations) and Biomedical Engineering (977 citations). Tom Kuusela has collaborated with scholars based in Finland, United States and Russia. Frequent co-authors include Kari U. O. Tahvanainen, Dwain L. Eckberg, William H. Cooke, Jeffrey B. Hoag, Harry Scheinin, Tuomas Jartti, Jani Penttilä, Antti Helminen, Mikko P. Tulppo and Timo Kaila. Their work appears in journals such as Physical review. A, Clinical Physiology and Functional Imaging, The Journal of Physiology, Journal of Applied Physics and American Journal of Physiology-Heart and Circulatory Physiology.

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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