Heini Saarimäki

31 total papers · 1.5k total citations
17 papers, 900 citations indexed

About

Heini Saarimäki is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Heini Saarimäki has authored 17 papers receiving a total of 900 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cognitive Neuroscience, 4 papers in Experimental and Cognitive Psychology and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Heini Saarimäki's work include Functional Brain Connectivity Studies (10 papers), Neural dynamics and brain function (9 papers) and Neural and Behavioral Psychology Studies (5 papers). Heini Saarimäki is often cited by papers focused on Functional Brain Connectivity Studies (10 papers), Neural dynamics and brain function (9 papers) and Neural and Behavioral Psychology Studies (5 papers). Heini Saarimäki collaborates with scholars based in Finland, Switzerland and United States. Heini Saarimäki's co-authors include Lauri Nummenmaa, Mikko Sams, Iiro P. Jääskeläinen, Enrico Glerean, Riitta Hari, Athanasios Gotsopoulos, Patrik Vuilleumier, Jouko Lampinen, Jari Saramäki and Onerva Korhonen and has published in prestigious journals such as PLoS ONE, NeuroImage and Brain.

In The Last Decade

Heini Saarimäki

15 papers receiving 887 citations

Author Peers

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

Author Last Decade Papers Cites
Heini Saarimäki 686 303 207 86 82 17 900
Mai Nguyen 641 0.9× 161 0.5× 154 0.7× 71 0.8× 42 0.5× 14 812
Eric Featherstone 727 1.1× 197 0.7× 145 0.7× 143 1.7× 117 1.4× 8 964
Sivan Kinreich 560 0.8× 230 0.8× 234 1.1× 52 0.6× 88 1.1× 25 863
Saurabh Sonkusare 633 0.9× 187 0.6× 102 0.5× 97 1.1× 31 0.4× 21 778
Krystyna A. Mathiak 636 0.9× 255 0.8× 127 0.6× 77 0.9× 125 1.5× 32 910
Alejandro de la Vega 608 0.9× 256 0.8× 130 0.6× 121 1.4× 70 0.9× 41 1.1k
Todd W. Thompson 638 0.9× 262 0.9× 94 0.5× 84 1.0× 97 1.2× 11 914
Avi Mendelsohn 812 1.2× 155 0.5× 211 1.0× 50 0.6× 87 1.1× 32 1.0k
Doris Eckstein 554 0.8× 161 0.5× 107 0.5× 37 0.4× 66 0.8× 16 804
Yuhan Chen 679 1.0× 179 0.6× 90 0.4× 68 0.8× 134 1.6× 46 912

Countries citing papers authored by Heini Saarimäki

Since Specialization
Citations

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

Fields of papers citing papers by Heini Saarimäki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heini Saarimäki

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