Henk Pander Maat

86 total papers · 1.3k total citations
47 papers, 649 citations indexed

About

Henk Pander Maat is a scholar working on Artificial Intelligence, Literature and Literary Theory and General Health Professions. According to data from OpenAlex, Henk Pander Maat has authored 47 papers receiving a total of 649 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 8 papers in Literature and Literary Theory and 7 papers in General Health Professions. Recurrent topics in Henk Pander Maat's work include Natural Language Processing Techniques (11 papers), Text Readability and Simplification (8 papers) and Discourse Analysis in Language Studies (7 papers). Henk Pander Maat is often cited by papers focused on Natural Language Processing Techniques (11 papers), Text Readability and Simplification (8 papers) and Discourse Analysis in Language Studies (7 papers). Henk Pander Maat collaborates with scholars based in Netherlands, United Kingdom and United States. Henk Pander Maat's co-authors include Leo Lentz, Liesbeth Degand, Mirjam P. Fransen, Marie‐Louise Essink‐Bot, Anita de Waard, Willie van Peer, Gill Rowlands, M.F. Steehouder, Barry D. Weiss and Tom Van Hout and has published in prestigious journals such as PLoS ONE, Frontiers in Psychology and BMC Public Health.

In The Last Decade

Henk Pander Maat

40 papers receiving 592 citations

Author Peers

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

Author Last Decade Papers Cites
Henk Pander Maat 187 117 98 93 87 47 649
Leo Lentz 105 0.6× 103 0.9× 48 0.5× 47 0.5× 55 0.6× 47 665
Karen Korning Zethsen 250 1.3× 161 1.4× 468 4.8× 101 1.1× 49 0.6× 50 672
Gavin Brookes 89 0.5× 91 0.8× 110 1.1× 119 1.3× 78 0.9× 64 659
Mark Garner 97 0.5× 26 0.2× 110 1.1× 83 0.9× 20 0.2× 35 784
Rudolf Franz Flesch 107 0.6× 156 1.3× 38 0.4× 49 0.5× 48 0.6× 20 753
Wyke Stommel 146 0.8× 60 0.5× 335 3.4× 182 2.0× 55 0.6× 52 747
Richard Cullen 82 0.4× 42 0.4× 242 2.5× 174 1.9× 21 0.2× 28 678
Barbara Ann Graves 108 0.6× 45 0.4× 117 1.2× 184 2.0× 41 0.5× 47 682
Minako O’Hagan 89 0.5× 203 1.7× 411 4.2× 74 0.8× 25 0.3× 42 753
Jennifer Greene 134 0.7× 14 0.1× 34 0.3× 30 0.3× 36 0.4× 29 762

Countries citing papers authored by Henk Pander Maat

Since Specialization
Citations

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

Fields of papers citing papers by Henk Pander Maat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Henk Pander Maat. 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 Henk Pander Maat. The network helps show where Henk Pander Maat may publish in the future.

Co-authorship network of co-authors of Henk Pander Maat

This figure shows the co-authorship network connecting the top 25 collaborators of Henk Pander Maat. A scholar is included among the top collaborators of Henk Pander Maat 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 Henk Pander Maat. Henk Pander Maat 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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