María D. Molina

16 papers and 609 indexed citations i.

About

María D. Molina is a scholar working on Sociology and Political Science, Artificial Intelligence and Social Psychology. According to data from OpenAlex, María D. Molina has authored 16 papers receiving a total of 609 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Sociology and Political Science, 7 papers in Artificial Intelligence and 6 papers in Social Psychology. Recurrent topics in María D. Molina’s work include Hate Speech and Cyberbullying Detection (6 papers), Misinformation and Its Impacts (5 papers) and Social Media and Politics (4 papers). María D. Molina is often cited by papers focused on Hate Speech and Cyberbullying Detection (6 papers), Misinformation and Its Impacts (5 papers) and Social Media and Politics (4 papers). María D. Molina collaborates with scholars based in United States, Brazil and Hong Kong. María D. Molina's co-authors include S. Shyam Sundar, Thai Le, Dongwon Lee, Eugene Cho, Ivan B. Dylko, Igor Dolgov, William Hoffman, Jessica Gall Myrick, Wei Peng and Minjin Rheu 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 María D. Molina i

Fields of papers citing papers by María D. Molina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by María D. Molina. 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 María D. Molina. The network helps show where María D. Molina may publish in the future.

Countries citing papers authored by María D. Molina

Since Specialization
Citations

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