Emerson Cabrera Paraíso

810 total citations
58 papers, 418 citations indexed

About

Emerson Cabrera Paraíso is a scholar working on Artificial Intelligence, Information Systems and Management Information Systems. According to data from OpenAlex, Emerson Cabrera Paraíso has authored 58 papers receiving a total of 418 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Artificial Intelligence, 15 papers in Information Systems and 11 papers in Management Information Systems. Recurrent topics in Emerson Cabrera Paraíso's work include Natural Language Processing Techniques (12 papers), Multi-Agent Systems and Negotiation (11 papers) and Topic Modeling (10 papers). Emerson Cabrera Paraíso is often cited by papers focused on Natural Language Processing Techniques (12 papers), Multi-Agent Systems and Negotiation (11 papers) and Topic Modeling (10 papers). Emerson Cabrera Paraíso collaborates with scholars based in Brazil, France and United States. Emerson Cabrera Paraíso's co-authors include Renato Hübner Barcelos, Angéla Barthes, Sylvio Barbon, Cláudia Maria Cabral Moro, Hugo Abonizio, César Augusto Tacla, Ricardo Cerri, Rafael Gomes Mantovani, Júlio César Nievola and Andreia Malucelli and has published in prestigious journals such as Computers in Human Behavior, Expert Systems with Applications and ACM Computing Surveys.

In The Last Decade

Emerson Cabrera Paraíso

53 papers receiving 400 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Emerson Cabrera Paraíso Brazil 9 236 93 80 41 37 58 418
Ayoub Bagheri Netherlands 13 334 1.4× 58 0.6× 132 1.6× 10 0.2× 35 0.9× 36 539
Nadin Kökciyan United Kingdom 10 233 1.0× 117 1.3× 58 0.7× 14 0.3× 20 0.5× 41 327
Chih How Bong Malaysia 8 105 0.4× 81 0.9× 56 0.7× 14 0.3× 6 0.2× 20 311
Stephen R. Poteet United States 5 187 0.8× 47 0.5× 109 1.4× 13 0.3× 25 0.7× 9 336
Richard Gruss United States 12 172 0.7× 170 1.8× 117 1.5× 61 1.5× 14 0.4× 29 510
Carolin Kaiser Germany 10 121 0.5× 153 1.6× 64 0.8× 38 0.9× 6 0.2× 29 356
Maja Hadzic Australia 11 154 0.7× 29 0.3× 93 1.2× 9 0.2× 68 1.8× 38 357
Sander Wubben Netherlands 10 475 2.0× 52 0.6× 44 0.6× 28 0.7× 13 0.4× 34 564
Robin R. Sewell United States 8 188 0.8× 61 0.7× 253 3.2× 10 0.2× 23 0.6× 19 451
John Cardiff Ireland 11 185 0.8× 123 1.3× 103 1.3× 53 1.3× 19 0.5× 41 327

Countries citing papers authored by Emerson Cabrera Paraíso

Since Specialization
Citations

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

Fields of papers citing papers by Emerson Cabrera Paraíso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emerson Cabrera Paraíso. 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 Emerson Cabrera Paraíso. The network helps show where Emerson Cabrera Paraíso may publish in the future.

Co-authorship network of co-authors of Emerson Cabrera Paraíso

This figure shows the co-authorship network connecting the top 25 collaborators of Emerson Cabrera Paraíso. A scholar is included among the top collaborators of Emerson Cabrera Paraíso 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 Emerson Cabrera Paraíso. Emerson Cabrera Paraíso 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.
Barcelos, Renato Hübner, et al.. (2024). Does your style engage? Linguistic styles of influencers and digital consumer engagement on YouTube. Computers in Human Behavior. 156. 108217–108217. 12 indexed citations
2.
Paraíso, Emerson Cabrera, et al.. (2024). Biclustering-based multi-label classification. Knowledge and Information Systems. 66(8). 4861–4898. 3 indexed citations
3.
Gutiérrez, Marco A., et al.. (2023). CardioBERTpt: Transformer-based Models for Cardiology Language Representation in Portuguese. Archive ouverte UNIGE (University of Geneva). 378–381. 3 indexed citations
4.
Ferreira, Thiago Castro, et al.. (2021). PUCRJ-PUCPR-UFMG at eHealth-KD Challenge 2021: A Multilingual BERT-based System for Joint Entity Recognition and Relation Extraction.. 683–691. 1 indexed citations
5.
Paraíso, Emerson Cabrera, et al.. (2020). From audio to information: Learning topics from audio transcripts. 121–128. 1 indexed citations
6.
Paraíso, Emerson Cabrera, et al.. (2020). BioBERTpt - A Portuguese Neural Language Model for Clinical Named Entity Recognition. Archive ouverte UNIGE (University of Geneva). 65–72. 42 indexed citations
7.
Nievola, Júlio César, et al.. (2017). A Key Risk Indicator for the Game Usage Lifecycle.. The Florida AI Research Society. 394–399. 1 indexed citations
8.
Abel, Marie‐Hélène, et al.. (2017). A core architecture for developing systems of systems. HAL (Le Centre pour la Communication Scientifique Directe). 141–146. 2 indexed citations
9.
Paraíso, Emerson Cabrera, et al.. (2016). Improving Knowledge Acquisition in Collaborative Knowledge Construction Tool with Virtual Catalyst.. Computing and Informatics / Computers and Artificial Intelligence. 35(4). 914–940. 1 indexed citations
10.
Barbon, Sylvio, et al.. (2016). Multi-class Emotions Classification by Sentic Levels as Features in Sentiment Analysis. ArTS Archivio della ricerca di Trieste (University of Trieste https://www.units.it/). 486–491. 8 indexed citations
11.
Nievola, Júlio César, et al.. (2015). Using a Genetic Algorithm Approach to Study the Impact of Imbalanced Corpora in Sentiment Analysis.. The Florida AI Research Society. 163–168. 7 indexed citations
12.
Paraíso, Emerson Cabrera & Andreia Malucelli. (2012). Ontologies Supporting Intelligent Agent-Based Assistance. Computing and Informatics / Computers and Artificial Intelligence. 30(4). 829–855. 6 indexed citations
13.
Paraíso, Emerson Cabrera, et al.. (2012). Limitações da Utilização do Alice no Ensino de Programação para Alunos de Graduação. Brazilian Symposium on Computers in Education (Simpósio Brasileiro de Informática na Educação - SBIE). 23(1).
14.
Tacla, César Augusto, et al.. (2011). A Virtual Catalyst in the Knowledge Acquisition Process.. Software Engineering and Knowledge Engineering. 149–152.
15.
Tacla, César Augusto, et al.. (2010). Supporting small teams in cooperatively building application domain models. Expert Systems with Applications. 38(2). 1160–1170. 6 indexed citations
16.
Tacla, César Augusto, et al.. (2010). Dialog construction in a collaborative project management environment. 21. 269–273. 2 indexed citations
17.
Paraíso, Emerson Cabrera & César Augusto Tacla. (2009). Using Embodied Conversational Assistants to Interface Users with Multi-Agent Based CSCW Applications: The WebAnima Agent. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
18.
Malucelli, Andreia, et al.. (2007). A physiotherapy EHR specification based on a user-centered approach in the context of public health.. PubMed. 61–5. 2 indexed citations
19.
Paraíso, Emerson Cabrera & Angéla Barthes. (2005). An intelligent speech interface for personal assistants applied to knowledge management. Web Intelligence and Agent Systems An International Journal. 3(4). 217–230. 8 indexed citations
20.
Paraíso, Emerson Cabrera, Angéla Barthes, & César Augusto Tacla. (2004). A speech architecture for personal assistants in a knowledge management context. European Conference on Artificial Intelligence. 971–972. 4 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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