Yael de Haan
- Communication top 2%
- Sociology and Political Science top 10%
- Literature and Literary Theory top 5%
- Human-Computer Interaction top 10%
- Computer Vision and Pattern Recognition
- Co-authors
- Sanne KruikemeierSophie LechelerKees BrantsRens VliegenthartMark BoukesGerard J.M. SmitJo BardoelEric van den Berg
- Topics
- Social Media and Politics (11 papers)Media Studies and Communication (10 papers)Media Influence and Health (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaNew Media & SocietyMedia Culture & Society
- Partner nations
- NetherlandsAustriaGermany
In The Last Decade
Yael de Haan
18 papers receiving 350 citations
Peers
Comparison fields: 5 of 54
- Communication 213
- Sociology and Political Science 167
- Literature and Literary Theory 86
- Human-Computer Interaction 46
- Computer Vision and Pattern Recognition 31
Countries citing papers authored by Yael de Haan
This map shows the geographic impact of Yael de Haan'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 Yael de Haan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yael de Haan more than expected).
Fields of papers citing papers by Yael de Haan
This network shows the impact of papers produced by Yael de Haan. 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 Yael de Haan. The network helps show where Yael de Haan may publish in the future.
Co-authorship network of co-authors of Yael de Haan
This figure shows the co-authorship network connecting the top 25 collaborators of Yael de Haan. A scholar is included among the top collaborators of Yael de Haan 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 Yael de Haan. Yael de Haan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 5 | |
| 5 | 2 | |
| 6 | 15 | |
| 7 | 12 | |
| 8 | 22 | |
| 9 | 99 | |
| 10 | 34 | |
| 11 | 6 | |
| 12 | 41 | |
| 13 | 6 | |
| 14 | Towards knowledge-centered newswork : the ethics of newsroom collaboration in the digital era | 1 |
| 15 | 16 | |
| 16 | Visualizing news: obstacles, challenges, and solutions | 0 |
| 17 | 9 | |
| 18 | 10 | |
| 19 | 49 | |
| 20 | 0 |
About Yael de Haan
Yael de Haan is a scholar working on Communication, Human-Computer Interaction and Literature and Literary Theory, having authored 22 papers that have together received 364 indexed citations. Recurring topics across this work include Social Media and Politics (11 papers), Media Studies and Communication (10 papers) and Media Influence and Health (6 papers). The work is most often cited by research in Communication (213 citations), Human-Computer Interaction (46 citations) and Literature and Literary Theory (86 citations). Yael de Haan has collaborated with scholars based in Netherlands, Austria and Germany. Frequent co-authors include Sanne Kruikemeier, Sophie Lecheler, Kees Brants, Rens Vliegenthart, Mark Boukes, Gerard J.M. Smit, Jo Bardoel, Eric van den Berg, Toni G.L.A. van der Meer and Jakob Ohme. Their work appears in journals such as SHILAP Revista de lepidopterología, New Media & Society and Media Culture & Society.
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.