Henk Pander Maat

1.3k total citations
47 papers, 651 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 651 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 Health Literacy and Information Accessibility (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 Health Literacy and Information Accessibility (7 papers). Henk Pander Maat collaborates with scholars based in Netherlands, United Kingdom and Russia. Henk Pander Maat's co-authors include Leo Lentz, Liesbeth Degand, Mirjam P. Fransen, Marie‐Louise Essink‐Bot, Anita de Waard, Willie van Peer, M.F. Steehouder, Gill Rowlands, 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 594 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Henk Pander Maat Netherlands 15 187 117 98 93 87 47 651
Mark Garner United Kingdom 12 98 0.5× 26 0.2× 108 1.1× 82 0.9× 20 0.2× 35 785
J. van der Zouwen Netherlands 12 73 0.4× 27 0.2× 112 1.1× 46 0.5× 34 0.4× 39 648
Catherine Wallace United Kingdom 11 112 0.6× 20 0.2× 186 1.9× 242 2.6× 15 0.2× 52 720
Rudolf Franz Flesch 8 105 0.6× 156 1.3× 38 0.4× 49 0.5× 48 0.6× 20 754
S. Scott Graham United States 15 81 0.4× 63 0.5× 12 0.1× 103 1.1× 22 0.3× 56 576
Wil Dijkstra Netherlands 14 67 0.4× 33 0.3× 63 0.6× 18 0.2× 33 0.4× 36 575
Joan Richardson Australia 14 23 0.1× 25 0.2× 15 0.2× 106 1.1× 14 0.2× 104 766
Michelle Picard Australia 12 30 0.2× 21 0.2× 92 0.9× 92 1.0× 4 0.0× 38 535
Gary M. Lavergne United States 5 18 0.1× 111 0.9× 20 0.2× 37 0.4× 33 0.4× 8 411
Brendan Luyt Singapore 15 334 1.8× 65 0.6× 6 0.1× 24 0.3× 16 0.2× 70 884

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

20 of 20 papers shown
1.
Maat, Henk Pander, et al.. (2024). LiNT: een leesbaarheidsformule en een leesbaarheidsinstrument. 45(1). 2–39. 2 indexed citations
2.
Maat, Henk Pander, Ben Staal, & Bregje Holleman. (2021). The Framing Preference for Large and Increasing Components in Static and Dynamic Descriptions. Frontiers in Psychology. 12. 720427–720427.
3.
Meppelink, Corine S., et al.. (2019). Validation of the short assessment of health literacy (SAHL-D) and short-form development: Rasch analysis. BMC Medical Research Methodology. 19(1). 122–122. 16 indexed citations
4.
Lentz, Leo, et al.. (2017). Begrijpelijkheid van pensioencommunicatie: effecten van wetgeving, geletterdheid en revisies. Data Archiving and Networked Services (DANS). 39(2). 191–208.
5.
Maat, Henk Pander, Leo Lentz, & David K. Raynor. (2015). How to Test Mandatory Text Templates: The European Patient Information Leaflet. PLoS ONE. 10(10). e0139250–e0139250. 6 indexed citations
6.
Lentz, Leo, Henk Pander Maat, & Ted Sanders. (2014). Towards evidence-based writing decisions: The Knowledge Base Comprehensible Text. Technical Communication. 61(1). 25–37.
7.
Maat, Henk Pander, et al.. (2014). T-Scan: a new tool for analyzing Dutch text. 4. 53–74. 18 indexed citations
8.
Fransen, Mirjam P., et al.. (2014). International application of health literacy measures: Adaptation and validation of the newest vital sign in The Netherlands. Patient Education and Counseling. 97(3). 403–409. 61 indexed citations
9.
Maat, Henk Pander, et al.. (2014). A short assessment of health literacy (SAHL) in the Netherlands. BMC Public Health. 14(1). 990–990. 44 indexed citations
10.
Waard, Anita de & Henk Pander Maat. (2012). Epistemic Modality and Knowledge Attribution in Scientific Discourse: A Taxonomy of Types and Overview of Features. Meeting of the Association for Computational Linguistics. 47–55. 22 indexed citations
11.
Liakata, Maria, Paul M. Thompson, Anita de Waard, et al.. (2012). A three-way perspective on scientific discourse annotation for knowledge extraction. Research Explorer (The University of Manchester). 37–46. 10 indexed citations
12.
Maat, Henk Pander, et al.. (2012). How newspaper journalists reframe product press release information. Journalism. 14(3). 348–371. 22 indexed citations
13.
14.
Maat, Henk Pander & Leo Lentz. (2011). Een Kennisbank over Begrijpelijke Taal. 33(3). 208–232. 1 indexed citations
15.
Hout, Tom Van, et al.. (2010). Writing from news sources: The case of Apple TV. Journal of Pragmatics. 43(7). 1876–1889. 25 indexed citations
16.
Maat, Henk Pander & Leo Lentz. (2009). Improving the usability of patient information leaflets. Patient Education and Counseling. 80(1). 113–119. 100 indexed citations
17.
Lentz, Leo & Henk Pander Maat. (2007). Reading aloud and the delay of feedback: Explanations for the effectiveness of reader protocols. Information Design Journal. 15(3). 266–281. 2 indexed citations
18.
Degand, Liesbeth & Henk Pander Maat. (2003). A contrastive study of Dutch and French causal connectives on the speaker involvement scale. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 1. 175–199. 60 indexed citations
19.
Maat, Henk Pander, et al.. (1997). Investigating the Processes of Reading-to-Assess among Dutch Legislators. Journal of Literacy Research. 29(1). 47–71. 4 indexed citations
20.
Maat, Henk Pander, et al.. (1994). Side Effects of Side Effect Information in Drug Information Leaflets. Journal of Technical Writing and Communication. 24(4). 389–404. 9 indexed citations

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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