Nuno Oliveira
- Management Science and Operations Research top 2%
- Artificial Intelligence top 5%
- Finance top 5%
- Economics and Econometrics top 5%
- Information Systems top 5%
- Co-authors
- Paulo CortezNelson ArealPedro Rangel HenriquesMaria João Varanda PereiraTomaž KosarMatej ČrepinšekMarjan Mernik
- Topics
- Model-Driven Software Engineering Techniques (8 papers)Software Engineering Research (7 papers)Sentiment Analysis and Opinion Mining (4 papers)
In The Last Decade
Nuno Oliveira
16 papers receiving 583 citations
Hit Papers
Peers
Comparison fields: 5 of 63
- Management Science and Operations Research 291
- Artificial Intelligence 251
- Finance 172
- Economics and Econometrics 172
- Information Systems 131
Countries citing papers authored by Nuno Oliveira
This map shows the geographic impact of Nuno Oliveira'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 Nuno Oliveira with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nuno Oliveira more than expected).
Fields of papers citing papers by Nuno Oliveira
This network shows the impact of papers produced by Nuno Oliveira. 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 Nuno Oliveira. The network helps show where Nuno Oliveira may publish in the future.
Co-authorship network of co-authors of Nuno Oliveira
This figure shows the co-authorship network connecting the top 25 collaborators of Nuno Oliveira. A scholar is included among the top collaborators of Nuno Oliveira 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 Nuno Oliveira. Nuno Oliveira is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 142 | |
| 2 | The impact of microblogging data for stock market prediction: Using Twitter to predict returns, volatility, trading volume and survey sentiment indicesbreakdown → | 275 |
| 3 | 8 | |
| 4 | 0 | |
| 5 | 15 | |
| 6 | 1 | |
| 7 | 27 | |
| 8 | 8 | |
| 9 | 101 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 1 | |
| 13 | 4 | |
| 14 | GraAL - A Grammar Analyzer | 1 |
| 15 | 2 | |
| 16 | XAGra - An XML Dialect for Attribute Grammars | 0 |
| 17 | VisualLISA: A Domain Specific Visual Language for Attribute Grammars | 1 |
| 18 | Domain specific languages: a theoretical survey | 20 |
About Nuno Oliveira
Nuno Oliveira is a scholar working on Software, Information Systems and Management Science and Operations Research, having authored 18 papers that have together received 609 indexed citations. Recurring topics across this work include Model-Driven Software Engineering Techniques (8 papers), Software Engineering Research (7 papers) and Sentiment Analysis and Opinion Mining (4 papers). The work is most often cited by research in Software (105 citations), Management Science and Operations Research (291 citations) and Finance (172 citations). Nuno Oliveira has collaborated with scholars based in Portugal, Slovenia and Germany. Frequent co-authors include Paulo Cortez, Nelson Areal, Pedro Rangel Henriques, Maria João Varanda Pereira, Tomaž Kosar, Matej Črepinšek and Marjan Mernik. Their work appears in journals such as Expert Systems with Applications, Decision Support Systems and Computer Science and Information Systems.
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.