Rianne Haartsen

40 total papers · 583 total citations
14 papers, 177 citations indexed

About

Rianne Haartsen is a scholar working on Cognitive Neuroscience, Pediatrics, Perinatology and Child Health and Developmental and Educational Psychology. According to data from OpenAlex, Rianne Haartsen has authored 14 papers receiving a total of 177 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 4 papers in Pediatrics, Perinatology and Child Health and 3 papers in Developmental and Educational Psychology. Recurrent topics in Rianne Haartsen's work include Neural dynamics and brain function (6 papers), Functional Brain Connectivity Studies (5 papers) and Neonatal and fetal brain pathology (4 papers). Rianne Haartsen is often cited by papers focused on Neural dynamics and brain function (6 papers), Functional Brain Connectivity Studies (5 papers) and Neonatal and fetal brain pathology (4 papers). Rianne Haartsen collaborates with scholars based in United Kingdom, Netherlands and Germany. Rianne Haartsen's co-authors include Mark H. Johnson, Emily J. H. Jones, Chantal Kemner, Janny C. Stapel, Marlene Meyer, Sabine Hunnius, Harold Bekkering, Vikram Patel, Sarah K. G. Jensen and Teodora Gliga and has published in prestigious journals such as PLoS ONE, Scientific Reports and Behavioral and Brain Sciences.

In The Last Decade

Rianne Haartsen

11 papers receiving 173 citations

Author Peers

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

Author						Papers	Cites
Rianne Haartsen	125	36	32	30	17	14	177
Yoko Hakuno	180 1.4×	58 1.6×	36 1.1×	52 1.7×	19 1.1×	14	286
Ricarda Braukmann	129 1.0×	60 1.7×	55 1.7×	28 0.9×	23 1.4×	11	206
Stephanie C. Leach	219 1.8×	31 0.9×	29 0.9×	31 1.0×	28 1.6×	10	269
Hannah Grotzinger	63 0.5×	50 1.4×	25 0.8×	18 0.6×	28 1.6×	12	158
Megan Whitehorn	127 1.0×	45 1.3×	81 2.5×	12 0.4×	18 1.1×	7	192
Judith Gardner	126 1.0×	73 2.0×	19 0.6×	26 0.9×	24 1.4×	13	217
Keisuke Inohara	170 1.4×	28 0.8×	30 0.9×	20 0.7×	35 2.1×	15	253
Enda Tan	82 0.7×	86 2.4×	76 2.4×	8 0.3×	27 1.6×	15	180
Valeria Scandurra	121 1.0×	41 1.1×	22 0.7×	15 0.5×	10 0.6×	13	243
Masaki Kojima	141 1.1×	27 0.8×	19 0.6×	10 0.3×	22 1.3×	9	187

Countries citing papers authored by Rianne Haartsen

Since Specialization

Citations

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

Fields of papers citing papers by Rianne Haartsen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rianne Haartsen

This figure shows the co-authorship network connecting the top 25 collaborators of Rianne Haartsen. A scholar is included among the top collaborators of Rianne Haartsen 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 Rianne Haartsen. Rianne Haartsen 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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