Dolf Trieschnigg
- Artificial Intelligence top 5%
- Information Systems top 5%
- Molecular Biology
- Social Psychology top 10%
- Signal Processing top 10%
- Co-authors
- Franciska de JongDong NguyenWessel KraaijMaral DadvarT. MederDjoerd HiemstraRoeland OrdelmanThomas Demeester
- Topics
- Web Data Mining and Analysis (13 papers)Topic Modeling (11 papers)Biomedical Text Mining and Ontologies (9 papers)
- Partner nations
- NetherlandsBelgiumUnited States
In The Last Decade
Dolf Trieschnigg
42 papers receiving 616 citations
Peers
Comparison fields: 5 of 74
- Artificial Intelligence 472
- Information Systems 216
- Molecular Biology 123
- Social Psychology 91
- Signal Processing 86
Countries citing papers authored by Dolf Trieschnigg
This map shows the geographic impact of Dolf Trieschnigg'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 Dolf Trieschnigg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dolf Trieschnigg more than expected).
Fields of papers citing papers by Dolf Trieschnigg
This network shows the impact of papers produced by Dolf Trieschnigg. 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 Dolf Trieschnigg. The network helps show where Dolf Trieschnigg may publish in the future.
Co-authorship network of co-authors of Dolf Trieschnigg
This figure shows the co-authorship network connecting the top 25 collaborators of Dolf Trieschnigg. A scholar is included among the top collaborators of Dolf Trieschnigg 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 Dolf Trieschnigg. Dolf Trieschnigg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 8 | |
| 3 | Why Gender and Age Prediction from Tweets is Hard: Lessons from a Crowdsourcing Experiment | 61 |
| 4 | Overview of the TREC 2013 Federated Web Search Track | 25 |
| 5 | COLING 2014, 25th International Conference on Computational Linguistics, Proceedings of the Conference: Technical Papers, August 23-29, 2014, Dublin, Ireland | 15 |
| 6 | 9 | |
| 7 | 8 | |
| 8 | Mirex and Taily at TREC 2013 | 1 |
| 9 | Proceedings of the Seventh International Conference on Weblogs and Social Media, ICWSM 2013, Cambridge, Massachusetts, USA, July 8-11, 2013. | 8 |
| 10 | Learning to Extract Folktale Keywords | 0 |
| 11 | Federated Search in the Wild | 1 |
| 12 | Ranking XPaths for extracting search result records | 8 |
| 13 | 13 | |
| 14 | 27 | |
| 15 | Automatic classification of folk narrative genres | 7 |
| 16 | 31 | |
| 17 | 67 | |
| 18 | Cross Language Information Retrieval for Biomedical Literature | 4 |
| 19 | Concept based document retrieval for genomics literature | 11 |
| 20 | Hierarchical Topic Detection in Large Digital News Archives: Exploring a Sample Based Approach | 5 |
About Dolf Trieschnigg
Dolf Trieschnigg is a scholar working on Artificial Intelligence, Information Systems and Signal Processing, having authored 44 papers that have together received 654 indexed citations. Recurring topics across this work include Web Data Mining and Analysis (13 papers), Topic Modeling (11 papers) and Biomedical Text Mining and Ontologies (9 papers). The work is most often cited by research in Artificial Intelligence (472 citations), Information Systems (216 citations) and Signal Processing (86 citations). Dolf Trieschnigg has collaborated with scholars based in Netherlands, Belgium and United States. Frequent co-authors include Franciska de Jong, Dong Nguyen, Wessel Kraaij, Maral Dadvar, T. Meder, Djoerd Hiemstra, Roeland Ordelman, Thomas Demeester, Mariët Theune and Edgar Meij. Their work appears in journals such as Bioinformatics, Information Processing & Management and ACM Transactions on Information Systems.
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.