Marijn ten Thij

38 total papers · 703 total citations
21 papers, 369 citations indexed

About

Marijn ten Thij is a scholar working on Sociology and Political Science, Artificial Intelligence and Social Psychology. According to data from OpenAlex, Marijn ten Thij has authored 21 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Sociology and Political Science, 7 papers in Artificial Intelligence and 6 papers in Social Psychology. Recurrent topics in Marijn ten Thij's work include Misinformation and Its Impacts (8 papers), Mental Health via Writing (6 papers) and Sentiment Analysis and Opinion Mining (3 papers). Marijn ten Thij is often cited by papers focused on Misinformation and Its Impacts (8 papers), Mental Health via Writing (6 papers) and Sentiment Analysis and Opinion Mining (3 papers). Marijn ten Thij collaborates with scholars based in Netherlands, United States and Italy. Marijn ten Thij's co-authors include Johan Bollen, Lauren A. Rutter, Krishna C. Bathina, Danny Valdez, Lorenzo Lorenzo‐Luaces, Anna Wilbik, Marten Scheffer, Ingrid A. van de Leemput, Fritz Breithaupt and Alexander Barron and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Scientific Reports.

In The Last Decade

Marijn ten Thij

17 papers receiving 362 citations

Author Peers

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

Author Last Decade Papers Cites
Marijn ten Thij 161 132 102 67 62 21 369
Sneha Jha 121 0.8× 127 1.0× 93 0.9× 39 0.6× 29 0.5× 23 434
Suzanne Elayan 142 0.9× 127 1.0× 148 1.5× 74 1.1× 55 0.9× 26 411
Garrick Sherman 167 1.0× 116 0.9× 115 1.1× 57 0.9× 95 1.5× 34 425
Jie Fang 212 1.3× 133 1.0× 38 0.4× 38 0.6× 96 1.5× 14 366
Yaakov Ophir 159 1.0× 138 1.0× 37 0.4× 102 1.5× 135 2.2× 28 407
Tae Min Song 108 0.7× 69 0.5× 53 0.5× 41 0.6× 77 1.2× 33 412
Russell R. C. Hutter 172 1.1× 150 1.1× 51 0.5× 70 1.0× 31 0.5× 22 406
Michal Dolev-Cohen 197 1.2× 136 1.0× 43 0.4× 48 0.7× 137 2.2× 24 386
Emily Seltzer 216 1.3× 71 0.5× 65 0.6× 34 0.5× 36 0.6× 13 436
Nickolas M. Jones 172 1.1× 117 0.9× 30 0.3× 35 0.5× 213 3.4× 19 431

Countries citing papers authored by Marijn ten Thij

Since Specialization
Citations

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

Fields of papers citing papers by Marijn ten Thij

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marijn ten Thij. 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 Marijn ten Thij. The network helps show where Marijn ten Thij may publish in the future.

Co-authorship network of co-authors of Marijn ten Thij

This figure shows the co-authorship network connecting the top 25 collaborators of Marijn ten Thij. A scholar is included among the top collaborators of Marijn ten Thij 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 Marijn ten Thij. Marijn ten Thij 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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