Paula Carvalho
- Artificial Intelligence top 10%
- Information Systems
- Experimental and Cognitive Psychology
- Language and Linguistics
- Communication
- Co-authors
- Mário J. SilvaLuís SarmentoDiana SantosCláudia FreitasHugo Gonçalo OliveiraDiana DiasDiana SoaresBruno Martins
- Topics
- Topic Modeling (14 papers)Natural Language Processing Techniques (9 papers)Sentiment Analysis and Opinion Mining (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsIEEE Access
In The Last Decade
Paula Carvalho
23 papers receiving 128 citations
Peers
Comparison fields: 5 of 34
- Artificial Intelligence 125
- Information Systems 20
- Experimental and Cognitive Psychology 13
- Language and Linguistics 12
- Communication 9
Countries citing papers authored by Paula Carvalho
This map shows the geographic impact of Paula Carvalho'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 Paula Carvalho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paula Carvalho more than expected).
Fields of papers citing papers by Paula Carvalho
This network shows the impact of papers produced by Paula Carvalho. 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 Paula Carvalho. The network helps show where Paula Carvalho may publish in the future.
Co-authorship network of co-authors of Paula Carvalho
This figure shows the co-authorship network connecting the top 25 collaborators of Paula Carvalho. A scholar is included among the top collaborators of Paula Carvalho 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 Paula Carvalho. Paula Carvalho 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 | 1 | |
| 4 | 5 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 5 | |
| 10 | 9 | |
| 11 | Port4NooJ v3.0: integrated linguistic resources for Portuguese NLP | 0 |
| 12 | 10 | |
| 13 | 4 | |
| 14 | Liars and Saviors in a Sentiment Annotated Corpus of Comments to Political Debates | 37 |
| 15 | Second HAREM: Advancing the State of the Art of Named Entity Recognition in Portuguese | 23 |
| 16 | Exploring the Vector Space Model for Finding Verb Synonyms in Portuguese | 2 |
| 17 | Getting geographical answers from Wikipedia: the GIKIP pilot at CLEF | 5 |
| 18 | Análise e Representação de Construções Adjectivais para Processamento Automático de Texto | 6 |
| 19 | Portuguese Large-scale Language Resources for NLP Applications | 4 |
| 20 | 4 |
About Paula Carvalho
Paula Carvalho is a scholar working on Artificial Intelligence, Communication and Gender Studies, having authored 25 papers that have together received 151 indexed citations. Recurring topics across this work include Topic Modeling (14 papers), Natural Language Processing Techniques (9 papers) and Sentiment Analysis and Opinion Mining (6 papers). The work is most often cited by research in Artificial Intelligence (125 citations), Communication (9 citations) and Language and Linguistics (12 citations). Paula Carvalho has collaborated with scholars based in Portugal, Jordan and Norway. Frequent co-authors include Mário J. Silva, Luís Sarmento, Diana Santos, Cláudia Freitas, Hugo Gonçalo Oliveira, Diana Dias, Diana Soares, Bruno Martins, Eugénio Oliveira and Sven Hartrumpf. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.
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.