Marcos Zampieri

6.6k total citations · 3 hit papers
112 papers, 3.0k citations indexed

About

Marcos Zampieri is a scholar working on Artificial Intelligence, Communication and Language and Linguistics. According to data from OpenAlex, Marcos Zampieri has authored 112 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 106 papers in Artificial Intelligence, 11 papers in Communication and 9 papers in Language and Linguistics. 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
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Social Media (OffensEval)
    2019 447 citations Marcos Zampieri, Shervin Malmasi et al. profile →
  2. Findings of the 2019 Conference on Machine Translation (WMT19)
    2019 256 citations Shervin Malmasi, Marcos Zampieri et al. profile →
  3. SemEval-2020 Task 12: Multilingual Offensive Language Identification in Social Media (OffensEval 2020)
    2020 244 citations Marcos Zampieri, Preslav Nakov et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Marcos Zampieri United States 26 2.8k 363 306 246 158 112 3.0k
Shervin Malmasi United States 25 2.4k 0.9× 299 0.8× 226 0.7× 200 0.8× 143 0.9× 82 2.6k
Kareem Darwish Qatar 27 2.1k 0.7× 509 1.4× 201 0.7× 77 0.3× 83 0.5× 88 2.4k
Björn Gambäck Norway 18 1.3k 0.5× 250 0.7× 118 0.4× 160 0.7× 115 0.7× 91 1.5k
Cristian Danescu-Niculescu-Mizil United States 23 1.4k 0.5× 398 1.1× 466 1.5× 176 0.7× 45 0.3× 46 2.2k
Cristina Bosco Italy 17 1.7k 0.6× 250 0.7× 238 0.8× 152 0.6× 65 0.4× 92 1.8k
Walid Magdy United Kingdom 25 1.8k 0.6× 614 1.7× 235 0.8× 129 0.5× 90 0.6× 100 2.2k
Mona Diab United States 35 5.4k 1.9× 574 1.6× 90 0.3× 68 0.3× 71 0.4× 186 5.8k
Valerio Basile Italy 22 1.8k 0.6× 316 0.9× 279 0.9× 219 0.9× 98 0.6× 76 2.0k
Yulia Tsvetkov United States 21 1.4k 0.5× 159 0.4× 105 0.3× 68 0.3× 45 0.3× 96 1.7k
Monojit Choudhury India 22 1.3k 0.4× 195 0.5× 90 0.3× 42 0.2× 84 0.5× 130 1.6k

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

20 of 20 papers shown
1.
Newman, Christian D., et al.. (2025). On the performance of large language models on introductory programming assignments. Journal of Intelligent Information Systems. 64(1). 239–263. 1 indexed citations
2.
Santos, Joanna C. S., et al.. (2025). Large Language Models in Computer Science Education: A Systematic Literature Review. 938–944. 7 indexed citations
3.
Ranasinghe, Tharindu, et al.. (2025). On the effects of machine translation on offensive language detection. Social Network Analysis and Mining. 14(1).
4.
Mandl, Thomas, et al.. (2024). Overview of the HASOC Track 2024: Hate-Speech Identification in English and Bengali. 1–2. 1 indexed citations
5.
Ranasinghe, Tharindu, et al.. (2024). SOLD: Sinhala offensive language dataset. Language Resources and Evaluation. 59(1). 297–337. 4 indexed citations
6.
Williams, Michelle S., et al.. (2024). Health text simplification: An annotated corpus for digestive cancer education and novel strategies for reinforcement learning. Journal of Biomedical Informatics. 158. 104727–104727. 3 indexed citations
7.
8.
Zampieri, Marcos, et al.. (2023). OffensEval 2023: Offensive language identification in the age of Large Language Models. Natural Language Engineering. 29(6). 1416–1435. 7 indexed citations
9.
10.
Ranasinghe, Tharindu & Marcos Zampieri. (2023). A Text-to-Text Model for Multilingual Offensive Language Identification. 375–384. 1 indexed citations
11.
Ranasinghe, Tharindu, et al.. (2023). Offensive Language Identification in Transliterated and Code-Mixed Bangla. 1–6. 2 indexed citations
12.
Zampieri, Marcos, et al.. (2023). Target-Based Offensive Language Identification. 762–770. 3 indexed citations
13.
Saggion, Horacio, et al.. (2022). Findings of the TSAR-2022 Shared Task on Multilingual Lexical Simplification. 271–283. 17 indexed citations
14.
Ranasinghe, Tharindu, et al.. (2020). WLV-RIT at HASOC-Dravidian-CodeMix-FIRE2020: Offensive Language Identification in Code-switched YouTube Comments.. 417–426. 1 indexed citations
15.
Ranasinghe, Tharindu, et al.. (2019). BRUMS at HASOC 2019: Deep Learning Models for Multilingual Hate Speech and Offensive Language Identification.. Lancaster EPrints (Lancaster University). 199–207. 26 indexed citations
16.
Kumar, Ritesh, Atul Kr. Ojha, Shervin Malmasi, & Marcos Zampieri. (2018). Benchmarking Aggression Identification in Social Media.. International Conference on Computational Linguistics. 1–11. 224 indexed citations
17.
Zampieri, Marcos, Shervin Malmasi, Nikola Ljubešić, et al.. (2017). Findings of the VarDial Evaluation Campaign 2017. Zurich Open Repository and Archive (University of Zurich). 1–15. 100 indexed citations
18.
Malmasi, Shervin, Marcos Zampieri, Nikola Ljubešić, et al.. (2016). Discriminating between Similar Languages and Arabic Dialect Identification: A Report on the Third DSL Shared Task. International Conference on Computational Linguistics. 1–14. 118 indexed citations
19.
Zampieri, Marcos, et al.. (2014). VarClass: An Open-source Language Identification Tool for Language Varieties. Language Resources and Evaluation. 3305–3308. 6 indexed citations
20.
Zampieri, Marcos, Nikola Ljubešić, & Jörg Tiedemann. (2014). Merging Comparable Data Sources for the Discrimination of Similar Languages : The DSL Corpus Collection. Language Resources and Evaluation. 6–10. 72 indexed citations

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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