Marcos Zampieri

281 total papers · 6.6k total citations
111 papers, 3.0k citations indexed

About

Marcos Zampieri is a scholar working on Artificial Intelligence, Communication and Social Psychology. According to data from OpenAlex, Marcos Zampieri has authored 111 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 105 papers in Artificial Intelligence, 11 papers in Communication and 8 papers in Social Psychology. Recurrent topics in Marcos Zampieri's work include Natural Language Processing Techniques (68 papers), Topic Modeling (46 papers) and Hate Speech and Cyberbullying Detection (31 papers). Marcos Zampieri is often cited by papers focused on Natural Language Processing Techniques (68 papers), Topic Modeling (46 papers) and Hate Speech and Cyberbullying Detection (31 papers). Marcos Zampieri collaborates with scholars based in United States, United Kingdom and Germany. Marcos Zampieri's co-authors include Shervin Malmasi, Preslav Nakov, Ritesh Kumar, Sara Rosenthal, Nikola Ljubešić, Jörg Tiedemann, Noura Farra, Atul Kr. Ojha, Tharindu Ranasinghe and Liling Tan and has published in prestigious journals such as ACM Computing Surveys, Journal of Biomedical Informatics and IEEE Journal of Biomedical and Health Informatics.

In The Last Decade

Marcos Zampieri

99 papers receiving 2.6k citations

Hit Papers

SemEval-2019 Task 6: Iden... 2019 2026 2021 2023 2019 2019 2020 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Marcos Zampieri 2.8k 364 304 246 158 111 3.0k
Shervin Malmasi 2.4k 0.9× 299 0.8× 225 0.7× 200 0.8× 143 0.9× 81 2.6k
Dirk Hovy 3.0k 1.0× 517 1.4× 303 1.0× 346 1.4× 191 1.2× 110 3.5k
Moshe Koppel 3.2k 1.1× 850 2.3× 164 0.5× 140 0.6× 94 0.6× 92 3.9k
Jean Carletta 2.0k 0.7× 200 0.5× 143 0.5× 352 1.4× 249 1.6× 61 3.0k
Kareem Darwish 2.1k 0.7× 509 1.4× 199 0.7× 77 0.3× 83 0.5× 88 2.4k
Shlomo Argamon 2.5k 0.9× 635 1.7× 153 0.5× 127 0.5× 79 0.5× 66 3.2k
Timothy Baldwin 4.6k 1.6× 721 2.0× 158 0.5× 110 0.4× 138 0.9× 261 5.4k
Nathan Schneider 3.3k 1.2× 517 1.4× 165 0.5× 84 0.3× 57 0.4× 94 3.9k
Hamdy Mubarak 1.8k 0.6× 439 1.2× 126 0.4× 107 0.4× 162 1.0× 66 1.9k
Patrick Hanks 3.1k 1.1× 563 1.5× 118 0.4× 112 0.5× 112 0.7× 72 4.7k

Countries citing papers authored by Marcos Zampieri

Since Specialization
Citations

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

Fields of papers citing papers by Marcos Zampieri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcos Zampieri

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