Damian Trilling

3.8k total citations · 2 hit papers
85 papers, 2.3k citations indexed

About

Damian Trilling is a scholar working on Communication, Sociology and Political Science and Artificial Intelligence. According to data from OpenAlex, Damian Trilling has authored 85 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Communication, 49 papers in Sociology and Political Science and 17 papers in Artificial Intelligence. Recurrent topics in Damian Trilling's work include Social Media and Politics (51 papers), Media Studies and Communication (33 papers) and Media Influence and Politics (28 papers). Damian Trilling is often cited by papers focused on Social Media and Politics (51 papers), Media Studies and Communication (33 papers) and Media Influence and Politics (28 papers). Damian Trilling collaborates with scholars based in Netherlands, Germany and Austria. Damian Trilling's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, Patient Education and Counseling and New Media & Society.

In The Last Decade

Damian Trilling

79 papers receiving 2.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Should we worry about filter bubbles?

2016 286 citations Frederik Zuiderveen Borgesius, Damian Trilling et al. UvA-DARE (University of Amsterdam) profile →
Do not blame it on the algorithm: an empirical assessment of multiple recommender systems and their impact on content diversity

2018 210 citations Judith Möller, Damian Trilling et al. Information Communication & Society profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Damian Trilling Netherlands	23	1.3k	1.3k	444	209	203	85	2.3k
Christopher A. Bail United States	20	1.1k 0.8×	2.0k 1.6×	446 1.0×	607 2.9×	428 2.1×	31	3.1k
Deen Freelon United States	24	2.0k 1.5×	1.9k 1.5×	689 1.6×	503 2.4×	408 2.0×	50	3.3k
Лэй Гуо United States	25	1.4k 1.1×	1.3k 1.0×	348 0.8×	250 1.2×	194 1.0×	73	2.3k
Andreas Jungherr Germany	24	1.4k 1.1×	898 0.7×	456 1.0×	529 2.5×	371 1.8×	51	2.1k
Eli Pariser United States	4	1.4k 1.1×	1.7k 1.3×	502 1.1×	295 1.4×	421 2.1×	4	3.2k
Sandra González‐Bailón United States	22	840 0.6×	907 0.7×	310 0.7×	194 0.9×	588 2.9×	70	1.9k
Hallvard Moe Norway	23	1.4k 1.1×	964 0.7×	218 0.5×	300 1.4×	156 0.8×	77	2.1k
Sanne Kruikemeier Netherlands	29	1.5k 1.2×	1.8k 1.4×	543 1.2×	440 2.1×	111 0.5×	77	3.3k
Luke Sloan United Kingdom	18	537 0.4×	996 0.8×	474 1.1×	130 0.6×	271 1.3×	45	1.9k
Wouter van Atteveldt Netherlands	22	896 0.7×	854 0.7×	579 1.3×	255 1.2×	147 0.7×	73	2.3k

Countries citing papers authored by Damian Trilling

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Törnberg, Petter, et al.. (2024). Network toxicity analysis: an information-theoretic approach to studying the social dynamics of online toxicity. Journal of Computational Social Science. 7(1). 305–330. 1 indexed citations

Moeller, Judith, et al.. (2024). What is news? Mapping the diversity of news experiences in digital trace data. Journalism. 27(2). 407–425. 1 indexed citations

Beyens, Ine, et al.. (2024). Happiness and Sadness in Adolescents’ Instagram Direct Messaging: A Neural Topic Modeling Approach. Social Media + Society. 10(1). 3 indexed citations

Trilling, Damian, et al.. (2024). It matters how you google it? Using agent-based testing to assess the impact of user choices in search queries and algorithmic personalization on political Google Search results. Journal of Computer-Mediated Communication. 29(6). 1 indexed citations

Kroon, Anne C., Kasper Welbers, Damian Trilling, & Wouter van Atteveldt. (2023). Advancing Automated Content Analysis for a New Era of Media Effects Research: The Key Role of Transfer Learning. Communication Methods and Measures. 18(2). 142–162. 8 indexed citations

Trilling, Damian, et al.. (2023). The Interplay between Right-Wing Alternative Media, Mainstream Media, and Political Elites in the United States. SHILAP Revista de lepidopterología. 3.

Welbers, Kasper, et al.. (2023). Beyond Discrete Genres: Mapping News Items onto a Multidimensional Framework of Genre Cues. Proceedings of the International AAAI Conference on Web and Social Media. 17. 542–553. 2 indexed citations

Kraan, Marloes, et al.. (2023). Science governs the future of the mesopelagic zone. UvA-DARE (University of Amsterdam). 2(1). 16 indexed citations

Meppelink, Corine S., et al.. (2022). Searching differently? How political attitudes impact search queries about political issues. New Media & Society. 26(7). 3728–3750. 12 indexed citations

10.

Stępińska, Agnieszka, et al.. (2022). Facebook as a Source of Political Information in Poland. Athenaeum Polskie Studia Politologiczne. 2022(Vol. 75). 225–241.

11.

Calderón, Carlos Arcila, Wouter van Atteveldt, & Damian Trilling. (2021). Dossier Métodos Computacionales y Big Data en la Investigación en Comunicación. UvA-DARE (University of Amsterdam). 49(49). 1–4. 4 indexed citations

12.

Trilling, Damian, et al.. (2020). Between Article and Topic: News Events as Level of Analysis and Their Computational Identification. Digital Journalism. 8(10). 1317–1337. 15 indexed citations

13.

Moeller, Judith, et al.. (2020). The Unified Framework of Media Diversity: A Systematic Literature Review. Digital Journalism. 8(5). 605–642. 70 indexed citations

14.

Kroon, Anne C., et al.. (2020). Guilty by Association: Using Word Embeddings to Measure Ethnic Stereotypes in News Coverage. Journalism & Mass Communication Quarterly. 98(2). 451–477. 22 indexed citations

15.

Atteveldt, Wouter van, Joanna Strycharz, Damian Trilling, & Kasper Welbers. (2019). Computational Communication Science| Toward Open Computational Communication Science: A Practical Road Map for Reusable Data and Code. SHILAP Revista de lepidopterología. 13. 20. 6 indexed citations

16.

Trilling, Damian, et al.. (2018). Comparative Analysis of Information Exchange in Online and Print Journalism. 4(3). 1 indexed citations

17.

Möller, Judith, et al.. (2018). Do not blame it on the algorithm: an empirical assessment of multiple recommender systems and their impact on content diversity. Information Communication & Society. 21(7). 959–977. 210 indexed citations breakdown →

18.

Trilling, Damian, Bob van de Velde, Anne C. Kroon, et al.. (2018). INCA: Infrastructure for Content Analysis. UvA-DARE (University of Amsterdam). 329–330. 8 indexed citations

19.

Borgesius, Frederik Zuiderveen, Damian Trilling, Judith Möller, et al.. (2016). Should we worry about filter bubbles?. UvA-DARE (University of Amsterdam). 286 indexed citations breakdown →

20.

Trilling, Damian & Klaus Schoenbach. (2013). Patterns of News Consumption in Austria: How Fragmented Are They?. SHILAP Revista de lepidopterología. 7. 25. 30 indexed citations

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.

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