Katalin Parti

About

Katalin Parti is a scholar working on Sociology and Political Science, Information Systems and Artificial Intelligence. According to data from OpenAlex, Katalin Parti has authored 32 papers receiving a total of 250 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Sociology and Political Science, 17 papers in Information Systems and 9 papers in Artificial Intelligence. Recurrent topics in Katalin Parti’s work include Cybercrime and Law Enforcement Studies (16 papers), Crime Patterns and Interventions (10 papers) and Hate Speech and Cyberbullying Detection (8 papers). Katalin Parti is often cited by papers focused on Cybercrime and Law Enforcement Studies (16 papers), Crime Patterns and Interventions (10 papers) and Hate Speech and Cyberbullying Detection (8 papers). Katalin Parti collaborates with scholars based in United States, Hungary and The Netherlands. Katalin Parti's co-authors include James E.Hawdon, Elizabeth Englander, Robin M. Kowalski, Carolyn A. Lin, Edward Donnerstein, Luisa Marin, Cheryl E. Sanders, Robin A. Robinson, Jay S. Albanese and Tibor Kiss and has published in prestigious journals such as PEDIATRICS, Frontiers in Psychology and Trauma Violence & Abuse.

In The Last Decade

Co-authorship network of co-authors of Katalin Parti i

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Fields of papers citing papers by Katalin Parti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Katalin Parti

Since Specialization

Citations

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