Mariët Theune
About
In The Last Decade
Mariët Theune
117 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 80
- Artificial Intelligence 950
- Social Psychology 200
- Experimental and Cognitive Psychology 174
- Computer Vision and Pattern Recognition 162
- Sociology and Political Science 131
Countries citing papers authored by Mariët Theune
This map shows the geographic impact of Mariët Theune'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 Mariët Theune with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mariët Theune more than expected).
Fields of papers citing papers by Mariët Theune
This network shows the impact of papers produced by Mariët Theune. 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 Mariët Theune. The network helps show where Mariët Theune may publish in the future.
Co-authorship network of co-authors of Mariët Theune
This figure shows the co-authorship network connecting the top 25 collaborators of Mariët Theune. A scholar is included among the top collaborators of Mariët Theune 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 Mariët Theune. Mariët Theune is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | Why Gender and Age Prediction from Tweets is Hard: Lessons from a Crowdsourcing Experiment | 61 |
| 4 | 5 | |
| 5 | 8 | |
| 6 | Learning to Extract Folktale Keywords | 0 |
| 7 | Using Wikipedia with associative networks for document classification | 3 |
| 8 | Does Size Matter -- How Much Data is Required to Train a REG Algorithm? | 5 |
| 9 | Generating Varied Narrative Probability Exercises | 4 |
| 10 | Introducing shared task evaluation to NLG : The TUNA shared task evaluation challenges | 20 |
| 11 | Late commitment: virtual story characters that can frame their world | 2 |
| 12 | Proceedings of the 12th European Workshop on Natural Language Generation | 17 |
| 13 | 25 | |
| 14 | Cost-based attribute selection for GRE (GRAPH-SC/GRAPH-FP) | 1 |
| 15 | The automatic generation of narratives | 6 |
| 16 | From Monologue to Dialogue: Natural Language Generation in OVIS | 4 |
| 17 | Language and Computers: Studies in Practical Linguistics | 1 |
| 18 | Error spotting in human-machine interaction | 13 |
| 19 | Prosodic Correlates Of Disconfirmations | 3 |
| 20 | System demonstration goalgetter: generation of spoken soccer reports | 1 |
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.