Maris Vainre

51 total papers · 1.3k total citations
21 papers, 735 citations indexed

About

Maris Vainre is a scholar working on Clinical Psychology, General Health Professions and Social Psychology. According to data from OpenAlex, Maris Vainre has authored 21 papers receiving a total of 735 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Clinical Psychology, 5 papers in General Health Professions and 4 papers in Social Psychology. Recurrent topics in Maris Vainre's work include Mindfulness and Compassion Interventions (12 papers), COVID-19 and Mental Health (8 papers) and Child and Adolescent Psychosocial and Emotional Development (4 papers). Maris Vainre is often cited by papers focused on Mindfulness and Compassion Interventions (12 papers), COVID-19 and Mental Health (8 papers) and Child and Adolescent Psychosocial and Emotional Development (4 papers). Maris Vainre collaborates with scholars based in United Kingdom, Estonia and Czechia. Maris Vainre's co-authors include Peter B. Jones, Emma Howarth, Jan Štochl, Géraldine Dufour, Julieta Galante, Adam P. Wagner, Neal Lathia, Ayla Humphrey, Joanna Anderson and Tamsin Ford and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Maris Vainre

19 papers receiving 718 citations

Hit Papers

A mindfulness-based inter... 2017 2026 2020 2023 2017 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Maris Vainre 525 201 157 101 81 21 735
Emma Soneson 402 0.8× 204 1.0× 180 1.1× 94 0.9× 66 0.8× 27 729
Susan Douglas Kelley 464 0.9× 205 1.0× 204 1.3× 78 0.8× 62 0.8× 27 813
Lin Wang 384 0.7× 195 1.0× 136 0.9× 81 0.8× 83 1.0× 29 622
Daniel Dickson 395 0.8× 221 1.1× 153 1.0× 157 1.6× 117 1.4× 21 698
Catherine Malboeuf‐Hurtubise 471 0.9× 130 0.6× 148 0.9× 94 0.9× 103 1.3× 40 748
Grace E. DiDomenico 580 1.1× 198 1.0× 141 0.9× 101 1.0× 124 1.5× 20 846
Ana Regina Vides de Andrade 598 1.1× 214 1.1× 177 1.1× 48 0.5× 66 0.8× 24 804
Margaret McLafferty 543 1.0× 232 1.2× 162 1.0× 93 0.9× 69 0.9× 26 802
Fatima R. Al-Darmaki 451 0.9× 383 1.9× 107 0.7× 82 0.8× 118 1.5× 24 724
Angelo Cocchi 477 0.9× 250 1.2× 94 0.6× 117 1.2× 59 0.7× 24 861

Countries citing papers authored by Maris Vainre

Since Specialization
Citations

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

Fields of papers citing papers by Maris Vainre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maris Vainre

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