Mario Haim

1.6k total citations · 1 hit paper
47 papers, 977 citations indexed

About

Mario Haim is a scholar working on Sociology and Political Science, Communication and Artificial Intelligence. According to data from OpenAlex, Mario Haim has authored 47 papers receiving a total of 977 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Sociology and Political Science, 22 papers in Communication and 9 papers in Artificial Intelligence. Recurrent topics in Mario Haim's work include Social Media and Politics (19 papers), Media Studies and Communication (14 papers) and Misinformation and Its Impacts (9 papers). Mario Haim is often cited by papers focused on Social Media and Politics (19 papers), Media Studies and Communication (14 papers) and Misinformation and Its Impacts (9 papers). Mario Haim collaborates with scholars based in Germany, Norway and United States. Mario Haim's co-authors include Andreas Graefe, Hans‐Bernd Brosius, Florian Arendt, Sebastian Scherr, Marc Jungblut, Anna Sophie Kümpel, Julian Unkel, Elsa Bach, Johannes Breuer and Sebastian Stier and has published in prestigious journals such as Social Science & Medicine, Drug and Alcohol Dependence and Age and Ageing.

In The Last Decade

Mario Haim

44 papers receiving 919 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.

Burst of the Filter Bubble?

2017 249 citations Mario Haim, Andreas Graefe et al. Digital Journalism profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mario Haim Germany	15	564	439	197	97	77	47	977
Judith Möller Netherlands	16	733 1.3×	662 1.5×	237 1.2×	117 1.2×	127 1.6×	38	1.4k
Mykola Makhortykh Switzerland	18	472 0.8×	339 0.8×	207 1.1×	82 0.8×	137 1.8×	89	910
Ronald E. Robertson United States	16	775 1.4×	423 1.0×	323 1.6×	133 1.4×	184 2.4×	31	1.2k
Dag Elgesem Norway	14	415 0.7×	234 0.5×	116 0.6×	75 0.8×	67 0.9×	29	723
Judith Moeller Netherlands	16	508 0.9×	474 1.1×	120 0.6×	118 1.2×	61 0.8×	28	847
María D. Molina United States	15	645 1.1×	242 0.6×	311 1.6×	128 1.3×	127 1.6×	23	979
Alexander Volfovsky United States	10	770 1.4×	646 1.5×	228 1.2×	44 0.5×	59 0.8×	30	1.2k
Aleksandra Urman Switzerland	14	439 0.8×	345 0.8×	179 0.9×	41 0.4×	65 0.8×	50	697
Jennette Lovejoy United States	8	945 1.7×	447 1.0×	142 0.7×	22 0.2×	124 1.6×	12	1.3k
Farida Vis United Kingdom	10	465 0.8×	458 1.0×	138 0.7×	16 0.2×	64 0.8×	14	868

Countries citing papers authored by Mario Haim

Since Specialization

Citations

This map shows the geographic impact of Mario Haim'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 Mario Haim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Haim more than expected).

Fields of papers citing papers by Mario Haim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mario Haim. 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 Mario Haim. The network helps show where Mario Haim may publish in the future.

Co-authorship network of co-authors of Mario Haim

This figure shows the co-authorship network connecting the top 25 collaborators of Mario Haim. A scholar is included among the top collaborators of Mario Haim 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 Mario Haim. Mario Haim 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

Haim, Mario, et al.. (2025). Climate Communication in the Hybrid Media System: Media and Stakeholder Logics on Social Media. Media and Communication. 13. 2 indexed citations

Schmalz, Xenia, et al.. (2025). Let’s talk about language—and its role for replicability. Humanities and Social Sciences Communications. 12(1). 1 indexed citations

Waldherr, Annie, Matthew S. Weber, Shangyuan Wu, et al.. (2024). Between Innovation and Standardization: Best Practices and Inclusive Guidelines in Computational Communication Science. Journalism & Mass Communication Quarterly. 102(1). 13–36. 2 indexed citations

Breuer, Johannes & Mario Haim. (2024). Are We Replicating Yet? Reproduction and Replication in Communication Research. Media and Communication. 12. 3 indexed citations

Hase, Valerie, Jef Ausloos, Laura Boeschoten, et al.. (2024). Fulfilling data access obligations: How could (and should) platforms facilitate data donation studies?. Internet Policy Review. 13(3). 2 indexed citations

Hase, Valerie & Mario Haim. (2024). Can We Get Rid of Bias? Mitigating Systematic Error in Data Donation Studies through Survey Design Strategies. Open access LMU (Ludwid Maxmilian's Universitat Munchen). 6(2). 1–1. 3 indexed citations

Haim, Mario, Dominik J. Leiner, & Valerie Hase. (2023). Integrating Data Donations in Online Surveys. Medien & Kommunikationswissenschaft. 71(1-2). 130–137. 3 indexed citations

Haim, Mario, Valerie Hase, Marko Bachl, et al.. (2023). Titelei/Inhaltsverzeichnis. Studies in Communication and Media. 12(4). I–III. 1 indexed citations

Haim, Mario. (2023). Computational Communication Science. 4 indexed citations

10.

Haim, Mario & Cornelius Puschmann. (2023). Opening up Data, Tools, and Practices: Collaborating with the Future. Digital Journalism. 11(2). 247–254. 3 indexed citations

11.

Haim, Mario & Christoph Neuberger. (2022). The paradox of knowing more and less: Audience metrics and the erosion of epistemic standards on the internet. Studies in Communication and Media. 11(4). 566–589. 1 indexed citations

12.

Breuer, Johannes, Zoltán Kmetty, Mario Haim, & Sebastian Stier. (2022). User-centric approaches for collecting Facebook data in the ‘post-API age’: experiences from two studies and recommendations for future research. Information Communication & Society. 26(14). 2649–2668. 28 indexed citations

13.

Haim, Mario, Sebastian Scherr, & Florian Arendt. (2021). How search engines may help reduce drug-related suicides. Drug and Alcohol Dependence. 226. 108874–108874. 4 indexed citations

14.

Haim, Mario, et al.. (2021). Stereotypes and sexism? Effects of gender, topic, and user comments on journalists’ credibility. Journalism. 24(7). 1442–1461. 6 indexed citations

15.

Arendt, Florian, Mario Haim, & Sebastian Scherr. (2020). Investigating Google's suicide-prevention efforts in celebrity suicides using agent-based testing: A cross-national study in four European countries. Social Science & Medicine. 262. 112692–112692. 18 indexed citations

16.

Haim, Mario & Rodrigo Zamith. (2019). Open-Source Trading Zones and Boundary Objects: Examining GitHub as a Space for Collaborating on “News”. Media and Communication. 7(4). 80–91. 12 indexed citations

17.

Haim, Mario, et al.. (2019). Computational observation. Open access LMU (Ludwid Maxmilian's Universitat Munchen). 1(1). 79–102. 20 indexed citations

18.

Haim, Mario & Andreas Graefe. (2017). Automated News. Digital Journalism. 5(8). 1044–1059. 53 indexed citations

19.

Graefe, Andreas, et al.. (2016). Readers’ perception of computer-generated news: Credibility, expertise, and readability. Journalism. 19(5). 595–610. 181 indexed citations

20.

Haim, Mario, Florian Arendt, & Sebastian Scherr. (2016). Abyss or Shelter? On the Relevance of Web Search Engines’ Search Results When People Google for Suicide. Health Communication. 32(2). 253–258. 47 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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