Jake Bergquist

456 citations
54 papers · 284 · h-index 9

Impact in

Papers in

Jake Bergquist

50 papers receiving 278 citations

Peers

Jake Bergquist
Comparison fields: 5 of 39
  • Cardiology and Cardiovascular Medicine 198
  • Statistics, Probability and Uncertainty 24
  • Cognitive Neuroscience 32
  • Radiology, Nuclear Medicine and Imaging 33
  • Control and Systems Engineering 29
Replace Brett Burton with:
Brett Burton United States
Brian Zenger United States
Danila Potyagaylo Germany
Jana Švehlíková Slovakia
Matthijs Cluitmans Netherlands
Steffen Schuler Germany
Walther H. W. Schulze Germany
Laura Bear France
Subham Ghosh United States
M. Ginks United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Jake Bergquist

Since Specialization
Citations

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

Fields of papers citing papers by Jake Bergquist

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202129
2 201923
3 202222
4 202116
5 202116
6 201915
7 202011
8 20189
9 20198
10 20217
11 20207
12 20227
13 20206
14 20206
15 20196
16 20216
17 20196
18 20196
19 20245
20 20225

About Jake Bergquist

Jake Bergquist is a scholar working on Cardiology and Cardiovascular Medicine, Cognitive Neuroscience, Statistics, Probability and Uncertainty, Radiology, Nuclear Medicine and Imaging and Electrical and Electronic Engineering, having authored 54 papers that have together received 284 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (30 papers), ECG Monitoring and Analysis (16 papers), Cardiovascular Function and Risk Factors (6 papers), Cardiac Arrhythmias and Treatments (5 papers), Probabilistic and Robust Engineering Design (5 papers), EEG and Brain-Computer Interfaces (5 papers), Cardiac pacing and defibrillation studies (3 papers) and Electrical and Bioimpedance Tomography (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (198 citations), Statistics, Probability and Uncertainty (24 citations), Cognitive Neuroscience (32 citations), Radiology, Nuclear Medicine and Imaging (33 citations) and Control and Systems Engineering (29 citations). Jake Bergquist has collaborated with scholars based in United States, Austria and France. Frequent co-authors include Rob MacLeod, Brian Zenger, Wilson Good, Jess Tate, Akil Narayan, Dana H. Brooks, Vikas Sharma, Sumientra Rampersad, Laura Bear and Gernot Plank. Their work appears in journals such as Computers in Biology and Medicine, Frontiers in Physiology, Physiological Measurement, IEEE Transactions on Biomedical Engineering and IEEE Transactions on Medical Imaging.

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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