T. Meder
Impact in
- Artificial Intelligence top 10%
- Authorship Attribution and Profiling
- Topic Modeling
- Natural Language Processing Techniques
- Hate Speech and Cyberbullying Detection
- Sentiment Analysis and Opinion Mining
- Literature and Literary Theory top 10%
- Folklore, Mythology, and Literature Studies
- Digital Humanities and Scholarship
Papers in
-
- Folklore, Mythology, and Literature Studies 16
- Digital Humanities and Scholarship 5
- Co-authors
- Dolf Trieschnigg (12 shared papers)Dong Nguyen (10 shared papers)Mariët Theune (9 shared papers)Franciska de Jong (4 shared papers)A. Seza Doğruöz (2 shared papers)Folgert Karsdorp (5 shared papers)Antal van den Bosch (4 shared papers)H.J.M. Venbrux (4 shared papers)
- Journals
- Folklore (2 papers)Western Folklore (1 paper)Journal of American Folklore (1 paper)Digital Scholarship in the Humanities (1 paper)Humor - International Journal of Humor Research (1 paper)
- Partner nations
- NetherlandsGermany
In The Last Decade
T. Meder
32 papers receiving 230 citations
Peers
Comparison fields: 5 of 58
- Artificial Intelligence 150
- Literature and Literary Theory 47
- General Social Sciences 11
- Linguistics and Language 14
- Communication 16
Countries citing papers authored by T. Meder
This map shows the geographic impact of T. Meder'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 T. Meder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Meder more than expected).
Fields of papers citing papers by T. Meder
This network shows the impact of papers produced by T. Meder. 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 T. Meder. The network helps show where T. Meder may publish in the future.
Co-authors
The 14 scholars most cited alongside T. Meder, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Why Gender and Age Prediction from Tweets is Hard: Lessons from a Crowdsourcing Experiment | 2014 | 61 |
| 2 | 2021 | 41 | |
| 3 | COLING 2014, 25th International Conference on Computational Linguistics, Proceedings of the Conference: Technical Papers, August 23-29, 2014, Dublin, Ireland | 2014 | 15 |
| 4 | 2013 | 14 | |
| 5 | An exploration of language identification techniques for the Dutch folktale database | 2012 | 13 |
| 6 | From a Dutch Folktale Database towards an International Folktale Database | 2010 | 12 |
| 7 | TweetGenie: Development, Evaluation, and Lessons Learned | 2014 | 9 |
| 8 | Proceedings of the Seventh International Conference on Weblogs and Social Media, ICWSM 2013, Cambridge, Massachusetts, USA, July 8-11, 2013. | 2013 | 8 |
| 9 | Casting a Spell: Identification and Ranking of Actors in Folktales | 2012 | 8 |
| 10 | 2015 | 7 | |
| 11 | 2015 | 7 | |
| 12 | Automatic classification of folk narrative genres | 2012 | 7 |
| 13 | 2016 | 6 | |
| 14 | In search of an appropriate abstraction level for motif annotations | 2012 | 5 |
| 15 | 2018 | 4 | |
| 16 | Shaping Virtual Lives: Online Identities, Representations and Conducts | 2012 | 3 |
| 17 | 2015 | 3 | |
| 18 | The False Teeth in the Cod: A legend in context | 1999 | 3 |
| 19 | Talen en Culturen in het Utrechtse Lombok en Transvaal (TCULT) | 2000 | 3 |
| 20 | 2023 | 2 |
About T. Meder
T. Meder is a scholar working on Literature and Literary Theory, Sociology and Political Science, Artificial Intelligence, Anthropology and Language and Linguistics, having authored 45 papers that have together received 255 indexed citations. Recurring topics across this work include Folklore, Mythology, and Literature Studies (16 papers), Digital Humanities and Scholarship (5 papers), Natural Language Processing Techniques (4 papers), Authorship Attribution and Profiling (4 papers), Historical and Archaeological Studies (3 papers), Cultural History and Identity Formation (3 papers), Philippine History and Culture (3 papers) and Lexicography and Language Studies (3 papers). The work is most often cited by research in Artificial Intelligence (150 citations), Literature and Literary Theory (47 citations), General Social Sciences (11 citations), Linguistics and Language (14 citations) and Communication (16 citations). T. Meder has collaborated with scholars based in Netherlands and Germany. Frequent co-authors include Dolf Trieschnigg, Dong Nguyen, Mariët Theune, Franciska de Jong, A. Seza Doğruöz, Folgert Karsdorp, Antal van den Bosch, H.J.M. Venbrux, Djoerd Hiemstra and P. van Kranenburg. Their work appears in journals such as Folklore, Western Folklore, Journal of American Folklore, Digital Scholarship in the Humanities and Humor - International Journal of Humor Research.
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.