Johan Farkas

69 total papers · 1.7k total citations
26 papers, 853 citations indexed

About

Johan Farkas is a scholar working on Communication, Sociology and Political Science and Artificial Intelligence. According to data from OpenAlex, Johan Farkas has authored 26 papers receiving a total of 853 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Communication, 18 papers in Sociology and Political Science and 6 papers in Artificial Intelligence. Recurrent topics in Johan Farkas's work include Social Media and Politics (17 papers), Misinformation and Its Impacts (15 papers) and Hate Speech and Cyberbullying Detection (6 papers). Johan Farkas is often cited by papers focused on Social Media and Politics (17 papers), Misinformation and Its Impacts (15 papers) and Hate Speech and Cyberbullying Detection (6 papers). Johan Farkas collaborates with scholars based in Sweden, Denmark and United Kingdom. Johan Farkas's co-authors include Jannick Schou, Ariadna Matamoros-Fernández, Christina Neumayer, Marco Bastos, Manon Berriche, Hendrik Heuer, Sacha Altay, Steve Rathje and Aurélien Mondon and has published in prestigious journals such as SHILAP Revista de lepidopterología, New Media & Society and Journalism & Mass Communication Quarterly.

In The Last Decade

Johan Farkas

24 papers receiving 792 citations

Hit Papers

Fake News as a Floating S... 2018 2026 2020 2023 2018 2021 50 100 150 200

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Johan Farkas 530 464 306 132 79 26 853
Josephine Lukito 589 1.1× 615 1.3× 204 0.7× 204 1.5× 61 0.8× 42 938
JungHwan Yang 597 1.1× 685 1.5× 210 0.7× 210 1.6× 63 0.8× 26 983
Vian Bakir 613 1.2× 385 0.8× 157 0.5× 96 0.7× 92 1.2× 36 851
Mark Tremayne 559 1.1× 404 0.9× 316 1.0× 58 0.4× 194 2.5× 22 968
Mehmet Fatih Çömlekçi 621 1.2× 433 0.9× 366 1.2× 90 0.7× 90 1.1× 18 1.0k
Rachel R. Mourão 619 1.2× 781 1.7× 195 0.6× 120 0.9× 42 0.5× 36 1.0k
Kevin Munger 673 1.3× 567 1.2× 284 0.9× 179 1.4× 64 0.8× 42 1.1k
Hyunseo Hwang 505 1.0× 609 1.3× 166 0.5× 111 0.8× 72 0.9× 23 991
Nick Anstead 419 0.8× 484 1.0× 125 0.4× 202 1.5× 52 0.7× 33 817
Farida Vis 465 0.9× 460 1.0× 137 0.4× 50 0.4× 65 0.8× 14 868

Countries citing papers authored by Johan Farkas

Since Specialization
Citations

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

Fields of papers citing papers by Johan Farkas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Johan Farkas

This figure shows the co-authorship network connecting the top 25 collaborators of Johan Farkas. A scholar is included among the top collaborators of Johan Farkas 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 Johan Farkas. Johan Farkas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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