Andreu Casas

1.6k total citations · 2 hit papers
33 papers, 930 citations indexed

About

Andreu Casas is a scholar working on Communication, Sociology and Political Science and Political Science and International Relations. According to data from OpenAlex, Andreu Casas has authored 33 papers receiving a total of 930 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Communication, 14 papers in Sociology and Political Science and 13 papers in Political Science and International Relations. Recurrent topics in Andreu Casas's work include Social Media and Politics (17 papers), Electoral Systems and Political Participation (13 papers) and Computational and Text Analysis Methods (8 papers). Andreu Casas is often cited by papers focused on Social Media and Politics (17 papers), Electoral Systems and Political Participation (13 papers) and Computational and Text Analysis Methods (8 papers). Andreu Casas collaborates with scholars based in United States, Netherlands and United Kingdom. Andreu Casas's co-authors include John Wilkerson, Jonathan Nagler, Joshua A. Tucker, Richard Bonneau, Pablo Barberá, Patrick J Egan, John T. Jost, Magdalena Wojcieszak, Kasper Welbers and Wouter van Atteveldt and has published in prestigious journals such as Science Advances, American Political Science Review and American Journal of Political Science.

In The Last Decade

Andreu Casas

30 papers receiving 884 citations

Hit Papers

Who Leads? Who Follows? Measuring Issue Attention and Age... 2017 2026 2020 2023 2019 2017 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andreu Casas United States 13 450 369 277 204 188 33 930
Chris J. Vargo United States 16 1.0k 2.3× 1.0k 2.8× 156 0.6× 286 1.4× 92 0.5× 38 1.5k
Daniela Stockmann Netherlands 11 674 1.5× 370 1.0× 511 1.8× 78 0.4× 39 0.2× 30 996
Kevin Munger United States 17 685 1.5× 576 1.6× 180 0.6× 288 1.4× 40 0.2× 42 1.1k
Rodrigo Zamith United States 15 558 1.2× 817 2.2× 78 0.3× 131 0.6× 87 0.5× 26 1.2k
Lauren Guggenheim United States 7 433 1.0× 496 1.3× 93 0.3× 66 0.3× 54 0.3× 10 800
ZACHARY STEINERT-THRELKELD United States 12 362 0.8× 238 0.6× 134 0.5× 115 0.6× 53 0.3× 29 633
Matthew Hindman United States 10 508 1.1× 741 2.0× 321 1.2× 123 0.6× 20 0.1× 19 1.1k
David Karpf United States 13 469 1.0× 762 2.1× 296 1.1× 124 0.6× 24 0.1× 28 994
Hannah Schmid-Petri Germany 10 428 1.0× 314 0.9× 35 0.1× 158 0.8× 253 1.3× 24 790
Shannon C. McGregor United States 19 780 1.7× 1.2k 3.2× 382 1.4× 246 1.2× 40 0.2× 34 1.6k

Countries citing papers authored by Andreu Casas

Since Specialization
Citations

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

Fields of papers citing papers by Andreu Casas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andreu Casas

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

All Works

20 of 20 papers shown
1.
Casas, Andreu, et al.. (2025). Bottom-Up? Top-Down? Determinants of Issue Attention in State Politics. The Journal of Politics. 0–0.
2.
Casas, Andreu, et al.. (2025). When Conservatives See Red but Liberals Feel Blue: Labeler Characteristics and Variation in Content Annotation. The Journal of Politics. 88(2). 631–646. 1 indexed citations
3.
Atteveldt, Wouter van, et al.. (2024). On Measurement Validity and Language Models: Increasing Validity and Decreasing Bias with Instructions. Communication Methods and Measures. 19(1). 46–62. 2 indexed citations
4.
Casas, Andreu. (2024). The Geopolitics of Deplatforming: A Study of Suspensions of Politically-Interested Iranian Accounts on Twitter. Political Communication. 41(3). 413–434. 1 indexed citations
5.
Atteveldt, Wouter van, et al.. (2023). Less Annotating, More Classifying: Addressing the Data Scarcity Issue of Supervised Machine Learning with Deep Transfer Learning and BERT-NLI. Political Analysis. 32(1). 84–100. 69 indexed citations
6.
Palau, Anna M., Andreu Casas, & Luz Muñoz. (2023). To amend or not to amend: under what circumstances do Spanish legislators propose amendments to executive bills?. West European Politics. 48(1). 189–216. 3 indexed citations
7.
Wojcieszak, Magdalena, et al.. (2023). Partisanship on Social Media: In-Party Love Among American Politicians, Greater Engagement with Out-Party Hate Among Ordinary Users. Political Behavior. 46(2). 799–824. 21 indexed citations
8.
Casas, Andreu, et al.. (2023). When Conservatives See Red but Liberals Feel Blue: Why Labeler-Characteristic Bias Matters for Data Annotation. SSRN Electronic Journal. 1 indexed citations
9.
Wojcieszak, Magdalena, et al.. (2022). Null effects of news exposure: a test of the (un)desirable effects of a ‘news vacation’ and ‘news binging’. Humanities and Social Sciences Communications. 9(1). 11 indexed citations
10.
Casas, Andreu, Ericka Menchen-Trevino, & Magdalena Wojcieszak. (2022). Exposure to Extremely Partisan News from the Other Political Side Shows Scarce Boomerang Effects. Political Behavior. 45(4). 1491–1530. 12 indexed citations
11.
Casas, Andreu, et al.. (2022). Using Social Media Data to Reveal Patterns of Policy Engagement in State Legislatures. State Politics & Policy Quarterly. 22(4). 371–395. 4 indexed citations
12.
Casas, Andreu, et al.. (2022). Introduction to the Special Issue on Images as Data. HOPE (Hauptbibliothek Open Publishing Environment) (University of Zurich). 4(1). 5 indexed citations
13.
Wojcieszak, Magdalena, et al.. (2022). Most users do not follow political elites on Twitter; those who do show overwhelming preferences for ideological congruity. Science Advances. 8(39). eabn9418–eabn9418. 44 indexed citations
15.
Casas, Andreu, et al.. (2020). What Was the Problem in Parkland? Using Social Media to Measure the Effectiveness of Issue Frames. Policy Studies Journal. 50(1). 266–289. 13 indexed citations
16.
Barberá, Pablo, Andreu Casas, Jonathan Nagler, et al.. (2019). Who Leads? Who Follows? Measuring Issue Attention and Agenda Setting by Legislators and the Mass Public Using Social Media Data. American Political Science Review. 113(4). 883–901. 282 indexed citations breakdown →
17.
Casas, Andreu, et al.. (2019). Different Channel, Same Strategy? Filling Empirical Gaps in Congress Literature. SSRN Electronic Journal. 8 indexed citations
18.
Casas, Andreu, et al.. (2018). Images that Matter: Online Protests and the Mobilizing Role of Pictures. Political Research Quarterly. 72(2). 360–375. 94 indexed citations
19.
Suárez, David, et al.. (2018). Community foundations as advocates: social change discourse in the philanthropic sector. Interest Groups & Advocacy. 7(3). 206–232. 20 indexed citations
20.
Casas, Andreu, et al.. (2016). La cobertura mediática de una acción "conectiva": la interacción entre el movimiento 15-M y los medios de comunicación. Revista Española de Investigaciones Sociológicas. 73–96. 9 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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