Marcos Zampieri
- Artificial Intelligence top 0.2%
- Information Systems top 2%
- Communication top 2%
- Social Psychology top 5%
- Signal Processing top 5%
- Co-authors
- Shervin MalmasiPreslav NakovRitesh KumarSara RosenthalNikola LjubešićJörg TiedemannNoura FarraAtul Kr. Ojha
- Topics
- Natural Language Processing Techniques (68 papers)Topic Modeling (46 papers)Hate Speech and Cyberbullying Detection (31 papers)
- Journals
- ACM Computing SurveysJournal of Biomedical InformaticsIEEE Journal of Biomedical and Health Informatics
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Marcos Zampieri
99 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 76
- Artificial Intelligence 2.8k
- Information Systems 363
- Communication 306
- Social Psychology 246
- Signal Processing 158
Countries citing papers authored by Marcos Zampieri
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 7 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 0 | |
| 10 | 2 | |
| 11 | 3 | |
| 12 | 7 | |
| 13 | 0 | |
| 14 | 1 | |
| 15 | 17 | |
| 16 | 5 | |
| 17 | 0 | |
| 18 | SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Social Media (OffensEval)breakdown → | 447 |
| 19 | CATaLog Online: Porting a Post-editing Tool to the Web. | 7 |
| 20 | Effective Spell Checking Methods Using Clustering Algorithms | 26 |
About Marcos Zampieri
Marcos Zampieri is a scholar working on Artificial Intelligence, Communication and Linguistics and Language, having authored 112 papers that have together received 3.0k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (68 papers), Topic Modeling (46 papers) and Hate Speech and Cyberbullying Detection (31 papers). The work is most often cited by research in Artificial Intelligence (2.8k citations), Communication (306 citations) and Linguistics and Language (114 citations). Marcos Zampieri has collaborated with scholars based in United States, United Kingdom and Germany. Frequent 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. Their work appears in journals such as ACM Computing Surveys, Journal of Biomedical Informatics and IEEE Journal of Biomedical and Health Informatics.
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.