Patrícia Rossini

71 total papers · 1.1k total citations
45 papers, 601 citations indexed

About

Patrícia Rossini is a scholar working on Communication, Sociology and Political Science and Artificial Intelligence. According to data from OpenAlex, Patrícia Rossini has authored 45 papers receiving a total of 601 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Communication, 20 papers in Sociology and Political Science and 15 papers in Artificial Intelligence. Recurrent topics in Patrícia Rossini's work include Social Media and Politics (33 papers), Misinformation and Its Impacts (13 papers) and Hate Speech and Cyberbullying Detection (12 papers). Patrícia Rossini is often cited by papers focused on Social Media and Politics (33 papers), Misinformation and Its Impacts (13 papers) and Hate Speech and Cyberbullying Detection (12 papers). Patrícia Rossini collaborates with scholars based in United Kingdom, United States and Brazil. Patrícia Rossini's co-authors include Jennifer Stromer‐Galley, Feifei Zhang, Jeff Hemsley, Rebekah Tromble, Antonis Kalogeropoulos, Helen Margetts, Rousiley C. M. Maia, Bertie Vidgen, Dong Nguyen and Brian McKernan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Communication and New Media & Society.

In The Last Decade

Patrícia Rossini

40 papers receiving 579 citations

Author Peers

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

Author Last Decade Papers Cites
Patrícia Rossini 432 335 272 95 38 45 601
Bente Kalsnes 481 1.1× 282 0.8× 108 0.4× 147 1.5× 42 1.1× 26 638
Yini Zhang 309 0.7× 287 0.9× 121 0.4× 66 0.7× 45 1.2× 40 588
Aleksandra Urman 341 0.8× 427 1.3× 171 0.6× 76 0.8× 20 0.5× 50 668
Dam Hee Kim 476 1.1× 443 1.3× 125 0.5× 85 0.9× 38 1.0× 28 624
Joan Donovan 210 0.5× 358 1.1× 153 0.6× 47 0.5× 20 0.5× 33 592
Elizabeth Stoycheff 350 0.8× 397 1.2× 98 0.4× 134 1.4× 24 0.6× 23 564
Tamara A. Small 382 0.9× 219 0.7× 92 0.3× 132 1.4× 43 1.1× 22 568
Nathaniel Poor 301 0.7× 363 1.1× 100 0.4× 55 0.6× 37 1.0× 30 637
Qinfeng Zhu 487 1.1× 409 1.2× 108 0.4× 130 1.4× 50 1.3× 31 636
Samuel Woolley 355 0.8× 476 1.4× 215 0.8× 87 0.9× 31 0.8× 30 699

Countries citing papers authored by Patrícia Rossini

Since Specialization
Citations

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

Fields of papers citing papers by Patrícia Rossini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patrícia Rossini

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