Gina Masullo Chen

58 papers and 1.6k indexed citations i.

About

Gina Masullo Chen is a scholar working on Communication, Sociology and Political Science and Artificial Intelligence. According to data from OpenAlex, Gina Masullo Chen has authored 58 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Communication, 32 papers in Sociology and Political Science and 16 papers in Artificial Intelligence. Recurrent topics in Gina Masullo Chen’s work include Social Media and Politics (43 papers), Media Studies and Communication (22 papers) and Hate Speech and Cyberbullying Detection (15 papers). Gina Masullo Chen is often cited by papers focused on Social Media and Politics (43 papers), Media Studies and Communication (22 papers) and Hate Speech and Cyberbullying Detection (15 papers). Gina Masullo Chen collaborates with scholars based in United States, Germany and Taiwan. Gina Masullo Chen's co-authors include Shuning Lu, Paromita Pain, Victoria Chen, Yee Man Margaret Ng, Mustafa Öz, Pei Zheng, Nina Springer, Martin Riedl, Natalie Jomini Stroud and Ori Tenenboim and has published in prestigious journals such as Computers in Human Behavior, Communication Research and New Media & Society.

In The Last Decade

Co-authorship network of co-authors of Gina Masullo Chen i

Fields of papers citing papers by Gina Masullo Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gina Masullo Chen. 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 Gina Masullo Chen. The network helps show where Gina Masullo Chen may publish in the future.

Countries citing papers authored by Gina Masullo Chen

Since Specialization
Citations

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

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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