Pedro Calais
Impact in
- Communication top 10%
- Social Media and Politics
- Artificial Intelligence top 10%
- Hate Speech and Cyberbullying Detection
- Internet Traffic Analysis and Secure E-voting
- Topic Modeling
Papers in
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- Internet Traffic Analysis and Secure E-voting 2
- Hate Speech and Cyberbullying Detection 2
- Authorship Attribution and Profiling 1
- Domain Adaptation and Few-Shot Learning 1
- Topic Modeling 1
-
- Social Media and Politics 3
- Co-authors
- Wagner Meira (5 shared papers)Virgı́lio Almeida (3 shared papers)Manoel Horta Ribeiro (2 shared papers)André Lemos (1 shared paper)Douglas E. V. Pires (1 shared paper)Dorgival Guedes (1 shared paper)Fernando Mourão (1 shared paper)Jussara M. Almeida (1 shared paper)
- Journals
- Information Sciences (1 paper)Proceedings of the International AAAI Conference on Web and Social Media (2 papers)arXiv (Cornell University) (1 paper)
- Partner nations
- BrazilUnited States
In The Last Decade
Pedro Calais
5 papers receiving 184 citations
Peers
Comparison fields: 5 of 31
- Communication 45
- Artificial Intelligence 157
- Information Systems 77
- Signal Processing 23
- Statistical and Nonlinear Physics 15
Countries citing papers authored by Pedro Calais
This map shows the geographic impact of Pedro Calais'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 Pedro Calais with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pedro Calais more than expected).
Fields of papers citing papers by Pedro Calais
This network shows the impact of papers produced by Pedro Calais. 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 Pedro Calais. The network helps show where Pedro Calais may publish in the future.
Co-authors
The 11 scholars most cited alongside Pedro Calais, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 129 | |
| 2 | 2018 | 28 | |
| 3 | 2018 | 18 | |
| 4 | A Campaign-based Characterization of Spamming Strategies. | 2008 | 17 |
| 5 | 2008 | 3 | |
| 6 | 2024 | 0 |
About Pedro Calais
Pedro Calais is a scholar working on Artificial Intelligence, Communication, Information Systems, Marketing and Management Science and Operations Research, having authored 6 papers that have together received 195 indexed citations. Recurring topics across this work include Social Media and Politics (3 papers), Internet Traffic Analysis and Secure E-voting (2 papers), Hate Speech and Cyberbullying Detection (2 papers), Spam and Phishing Detection (1 paper), Authorship Attribution and Profiling (1 paper), Information Retrieval and Search Behavior (1 paper), Domain Adaptation and Few-Shot Learning (1 paper) and Topic Modeling (1 paper). The work is most often cited by research in Communication (45 citations), Artificial Intelligence (157 citations), Information Systems (77 citations), Signal Processing (23 citations) and Statistical and Nonlinear Physics (15 citations). Pedro Calais has collaborated with scholars based in Brazil and United States. Frequent co-authors include Wagner Meira, Virgı́lio Almeida, Manoel Horta Ribeiro, André Lemos, Douglas E. V. Pires, Dorgival Guedes, Fernando Mourão, Jussara M. Almeida, Arlei Silva and Adriano C. M. Pereira. Their work appears in journals such as Information Sciences, Proceedings of the International AAAI Conference on Web and Social Media and arXiv (Cornell University).
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.