Henk Pander Maat
- General Health Professions top 10%
- Artificial Intelligence top 10%
- Language and Linguistics top 5%
- Literature and Literary Theory top 5%
- Experimental and Cognitive Psychology top 10%
- Co-authors
- Leo LentzLiesbeth DegandMirjam P. FransenMarie‐Louise Essink‐BotAnita de WaardWillie van PeerM.F. SteehouderBarry D. Weiss
- Topics
- Natural Language Processing Techniques (11 papers)Text Readability and Simplification (8 papers)Health Literacy and Information Accessibility (7 papers)
- Partner nations
- NetherlandsUnited KingdomRussia
In The Last Decade
Henk Pander Maat
40 papers receiving 594 citations
Peers
Comparison fields: 5 of 97
- General Health Professions 187
- Artificial Intelligence 117
- Language and Linguistics 98
- Literature and Literary Theory 93
- Experimental and Cognitive Psychology 87
Countries citing papers authored by Henk Pander Maat
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 16 | |
| 4 | 0 | |
| 5 | 6 | |
| 6 | Towards evidence-based writing decisions: The Knowledge Base Comprehensible Text | 0 |
| 7 | T-Scan: a new tool for analyzing Dutch text | 18 |
| 8 | 44 | |
| 9 | 61 | |
| 10 | A three-way perspective on scientific discourse annotation for knowledge extraction | 10 |
| 11 | Epistemic Modality and Knowledge Attribution in Scientific Discourse: A Taxonomy of Types and Overview of Features | 22 |
| 12 | 22 | |
| 13 | 0 | |
| 14 | 1 | |
| 15 | 25 | |
| 16 | 100 | |
| 17 | 8 | |
| 18 | A contrastive study of Dutch and French causal connectives on the speaker involvement scale | 60 |
| 19 | 18 | |
| 20 | 4 |
About Henk Pander Maat
Henk Pander Maat is a scholar working on General Decision Sciences, Literature and Literary Theory and Artificial Intelligence, having authored 47 papers that have together received 651 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (11 papers), Text Readability and Simplification (8 papers) and Health Literacy and Information Accessibility (7 papers). The work is most often cited by research in Family Practice (33 citations), Communication (69 citations) and Geriatrics and Gerontology (39 citations). Henk Pander Maat has collaborated with scholars based in Netherlands, United Kingdom and Russia. Frequent co-authors include Leo Lentz, Liesbeth Degand, Mirjam P. Fransen, Marie‐Louise Essink‐Bot, Anita de Waard, Willie van Peer, M.F. Steehouder, Barry D. Weiss, Gill Rowlands and Tom Van Hout. Their work appears in journals such as PLoS ONE, Frontiers in Psychology and BMC Public Health.
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.