Reinder Haakma

91 total papers · 1.2k total citations
55 papers, 833 citations indexed

About

Reinder Haakma is a scholar working on Cognitive Neuroscience, Biomedical Engineering and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Reinder Haakma has authored 55 papers receiving a total of 833 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cognitive Neuroscience, 20 papers in Biomedical Engineering and 18 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Reinder Haakma's work include Non-Invasive Vital Sign Monitoring (19 papers), Heart Rate Variability and Autonomic Control (16 papers) and EEG and Brain-Computer Interfaces (12 papers). Reinder Haakma is often cited by papers focused on Non-Invasive Vital Sign Monitoring (19 papers), Heart Rate Variability and Autonomic Control (16 papers) and EEG and Brain-Computer Interfaces (12 papers). Reinder Haakma collaborates with scholars based in Netherlands, Finland and Germany. Reinder Haakma's co-authors include Ronald M. Aarts, Pedro Fonseca, Xi Long, Jérôme Foussier, Mustafa Radha, D.G. Bouwhuis, Willem‐Paul Brinkman, F.L. Engel, Sebastiaan Overeem and Peter J. J. Goossens and has published in prestigious journals such as Applied Physics Letters, BMJ Open and Journal of the Royal Statistical Society Series C (Applied Statistics).

In The Last Decade

Reinder Haakma

51 papers receiving 799 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Reinder Haakma	401	375	262	182	181	55	833
Martín O. Méndez	434 1.1×	529 1.4×	335 1.3×	341 1.9×	176 1.0×	39	916
Syed Anas Imtiaz	292 0.7×	228 0.6×	171 0.7×	178 1.0×	95 0.5×	37	902
Kaare B. Mikkelsen	856 2.1×	165 0.4×	71 0.3×	227 1.2×	244 1.3×	36	1.0k
Xosé A. Vila	256 0.6×	375 1.0×	602 2.3×	73 0.4×	78 0.4×	61	1.0k
Bülent Yılmaz	197 0.5×	153 0.4×	131 0.5×	93 0.5×	96 0.5×	70	794
Vicente Moret‐Bonillo	209 0.5×	176 0.5×	65 0.2×	258 1.4×	93 0.5×	68	908
Kyoung-Joung Lee	317 0.8×	387 1.0×	338 1.3×	342 1.9×	107 0.6×	70	962
Fan Li	185 0.5×	88 0.2×	78 0.3×	190 1.0×	123 0.7×	69	946
Ainara Garde	119 0.3×	506 1.3×	388 1.5×	323 1.8×	63 0.3×	55	1.0k
Chih‐En Kuo	603 1.5×	175 0.5×	114 0.4×	155 0.9×	240 1.3×	33	823

Countries citing papers authored by Reinder Haakma

Since Specialization

Citations

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

Fields of papers citing papers by Reinder Haakma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Reinder Haakma

This figure shows the co-authorship network connecting the top 25 collaborators of Reinder Haakma. A scholar is included among the top collaborators of Reinder Haakma based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Reinder Haakma. Reinder Haakma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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