Daniel Preoțiuc-Pietro

34 papers and 1.5k indexed citations i.

About

Daniel Preoțiuc-Pietro is a scholar working on Artificial Intelligence, Sociology and Political Science and Social Psychology. According to data from OpenAlex, Daniel Preoțiuc-Pietro has authored 34 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 7 papers in Sociology and Political Science and 5 papers in Social Psychology. Recurrent topics in Daniel Preoțiuc-Pietro’s work include Topic Modeling (10 papers), Hate Speech and Cyberbullying Detection (8 papers) and Sentiment Analysis and Opinion Mining (6 papers). Daniel Preoțiuc-Pietro is often cited by papers focused on Topic Modeling (10 papers), Hate Speech and Cyberbullying Detection (8 papers) and Sentiment Analysis and Opinion Mining (6 papers). Daniel Preoțiuc-Pietro collaborates with scholars based in United States, United Kingdom and Australia. Daniel Preoțiuc-Pietro's co-authors include Lyle Ungar, Νικόλαος Αλέτρας, Vasileios Lampos, Dimitrios Tsarapatsanis, Johannes C. Eichstaedt, H. Andrew Schwartz, Ye Liu, Daniel J. Hopkins, Patrick Crutchley and David A. Asch and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Artificial Intelligence Review.

In The Last Decade

Co-authorship network of co-authors of Daniel Preoțiuc-Pietro i

Fields of papers citing papers by Daniel Preoțiuc-Pietro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Preoțiuc-Pietro. 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 Daniel Preoțiuc-Pietro. The network helps show where Daniel Preoțiuc-Pietro may publish in the future.

Countries citing papers authored by Daniel Preoțiuc-Pietro

Since Specialization
Citations

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