R.M. Heethaar

2.9k citations
54 papers · 2.3k · h-index 26

Impact in

Papers in

R.M. Heethaar

54 papers receiving 2.2k citations

Peers

R.M. Heethaar
Comparison fields: 5 of 125
  • Cognitive Neuroscience 913
  • Cardiology and Cardiovascular Medicine 432
  • Radiology, Nuclear Medicine and Imaging 390
  • Signal Processing 100
  • Neurology 59
Replace Jacques Felblinger with:
Jacques Felblinger France
Rathinaswamy B. Govindan United States
Hartmut Dickhaus Germany
Khosrow Behbehani United States
Alfredo Hernández France
Allan Gottschalk United States
Adrian Basarab France
Mary J. Morrell United Kingdom
Raanan Arens United States
Christophe Destrieux France
R.M. Heethaar relative to Jacques Felblinger France Jacques Felblinger's profile →
Citations per field
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Jacques Felblinger · 1×
Citations per year

Countries citing papers authored by R.M. Heethaar

Since Specialization
Citations

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

Fields of papers citing papers by R.M. Heethaar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R.M. Heethaar. 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 R.M. Heethaar. The network helps show where R.M. Heethaar may publish in the future.

Co-authors

The 25 scholars most cited alongside R.M. Heethaar, 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 R.M. Heethaar Line = papers co-authored together R.M. Heethaar 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 2005282
2 2007196
3 2003175
4 2009120
5 200098
6 199697
7 200497
8 200889
9 200382
10 200475
11 200371
12 200667
13 200058
14 198657
15 200355
16 200155
17 200753
18 200043
19 200041
20 200741

About R.M. Heethaar

R.M. Heethaar is a scholar working on Electrical and Electronic Engineering, Surgery, Biomedical Engineering, Cognitive Neuroscience and Radiology, Nuclear Medicine and Imaging, having authored 54 papers that have together received 2.3k indexed citations. Recurring topics across this work include Electrical and Bioimpedance Tomography (20 papers), Hemodynamic Monitoring and Therapy (12 papers), Functional Brain Connectivity Studies (8 papers), EEG and Brain-Computer Interfaces (7 papers), Advanced MRI Techniques and Applications (7 papers), Body Composition Measurement Techniques (6 papers), Microfluidic and Bio-sensing Technologies (5 papers) and Neural dynamics and brain function (5 papers). The work is most often cited by research in Cognitive Neuroscience (913 citations), Cardiology and Cardiovascular Medicine (432 citations), Radiology, Nuclear Medicine and Imaging (390 citations), Signal Processing (100 citations) and Neurology (59 citations). R.M. Heethaar has collaborated with scholars based in Netherlands, United States and Portugal. Frequent co-authors include Jan C. de Munck, S.I. Gonçalves, Joost P.A. Kuijer, Petra J. W. Pouwels, Th. J. C. Faes, J.P.A. Verbunt, Fetsje Bijma, Theo J. C. Faes, J. Tim Marcus and Natasha M. Maurits. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, NeuroImage, Annals of the New York Academy of Sciences, Physiological Measurement and Clinical Neurophysiology.

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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