Damian Trilling
- Communication top 0.2%
- Sociology and Political Science top 1%
- Artificial Intelligence top 5%
- Political Science and International Relations top 5%
- Statistical and Nonlinear Physics top 5%
- Co-authors
- Natali HelbergerClaes H. de VreeseJudith MöllerJelle W. BoumansJudith MoellerPetro TolochkoKlaus SchoenbachBalázs Bodó
- Topics
- Social Media and Politics (51 papers)Media Studies and Communication (33 papers)Media Influence and Politics (28 papers)
- Journals
- SHILAP Revista de lepidopterologíaPatient Education and CounselingNew Media & Society
- Partner nations
- NetherlandsGermanyAustria
In The Last Decade
Damian Trilling
79 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Communication 1.3k
- Sociology and Political Science 1.3k
- Artificial Intelligence 444
- Political Science and International Relations 209
- Statistical and Nonlinear Physics 203
Countries citing papers authored by Damian Trilling
This map shows the geographic impact of Damian Trilling'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 Damian Trilling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Damian Trilling more than expected).
Fields of papers citing papers by Damian Trilling
This network shows the impact of papers produced by Damian Trilling. 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 Damian Trilling. The network helps show where Damian Trilling may publish in the future.
Co-authorship network of co-authors of Damian Trilling
This figure shows the co-authorship network connecting the top 25 collaborators of Damian Trilling. A scholar is included among the top collaborators of Damian Trilling 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 Damian Trilling. Damian Trilling 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 | 1 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 8 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 16 | |
| 9 | 12 | |
| 10 | 0 | |
| 11 | 4 | |
| 12 | 15 | |
| 13 | 70 | |
| 14 | 22 | |
| 15 | Computational Communication Science| Toward Open Computational Communication Science: A Practical Road Map for Reusable Data and Code | 6 |
| 16 | 1 | |
| 17 | Do not blame it on the algorithm: an empirical assessment of multiple recommender systems and their impact on content diversitybreakdown → | 210 |
| 18 | 8 | |
| 19 | Should we worry about filter bubbles?breakdown → | 286 |
| 20 | Patterns of News Consumption in Austria: How Fragmented Are They? | 30 |
About Damian Trilling
Damian Trilling is a scholar working on Communication, General Social Sciences and Statistical and Nonlinear Physics, having authored 85 papers that have together received 2.3k indexed citations. Recurring topics across this work include Social Media and Politics (51 papers), Media Studies and Communication (33 papers) and Media Influence and Politics (28 papers). The work is most often cited by research in Communication (1.3k citations), General Social Sciences (190 citations) and Sociology and Political Science (1.3k citations). Damian Trilling has collaborated with scholars based in Netherlands, Germany and Austria. Frequent co-authors include Natali Helberger, Claes H. de Vreese, Judith Möller, Jelle W. Boumans, Judith Moeller, Petro Tolochko, Klaus Schoenbach, Balázs Bodó, Frederik Zuiderveen Borgesius and Neil Thurman. Their work appears in journals such as SHILAP Revista de lepidopterología, Patient Education and Counseling and New Media & 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.