Vítor Cerqueira
Impact in
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- Forecasting Techniques and Applications
- Stock Market Forecasting Methods
- Signal Processing top 10%
- Time Series Analysis and Forecasting
Papers in
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- Time Series Analysis and Forecasting 11
-
- Stock Market Forecasting Methods 7
- Forecasting Techniques and Applications 7
- Co-authors
- Luı́s TorgoIgor MozetičLuís Nobre PereiraCarlos SoaresNuno MonizJasmina SmailovićHeitor Murilo GomesAlbert Bifet
- Journals
- Machine Learning (5 papers)IEEE Transactions on Intelligent Transportation Systems (1 paper)Current Issues in Tourism (1 paper)Expert Systems with Applications (1 paper)Neural Processing Letters (1 paper)
- Partner nations
- CanadaPortugalNew Zealand
In The Last Decade
Vítor Cerqueira
21 papers receiving 402 citations
Peers
Comparison fields: 5 of 103
- Management Science and Operations Research 111
- Signal Processing 65
- Artificial Intelligence 139
- Environmental Engineering 44
- Transportation 16
Countries citing papers authored by Vítor Cerqueira
This map shows the geographic impact of Vítor Cerqueira'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 Vítor Cerqueira with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vítor Cerqueira more than expected).
Fields of papers citing papers by Vítor Cerqueira
This network shows the impact of papers produced by Vítor Cerqueira. 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 Vítor Cerqueira. The network helps show where Vítor Cerqueira may publish in the future.
Co-authors
The 25 scholars most cited alongside Vítor Cerqueira, 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 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 4 | |
| 7 | 2022 | 2 | |
| 8 | 2022 | 20 | |
| 9 | 2022 | 21 | |
| 10 | 2022 | 1 | |
| 11 | 2021 | 37 | |
| 12 | 2021 | 2 | |
| 13 | 2020 | 181 | |
| 14 | 2019 | 1 | |
| 15 | 2018 | 21 | |
| 16 | 2018 | 14 | |
| 17 | 2018 | 21 | |
| 18 | 2017 | 1 | |
| 19 | 2017 | 29 | |
| 20 | 2016 | 2 |
About Vítor Cerqueira
Vítor Cerqueira is a scholar working on Signal Processing, Management Science and Operations Research, Artificial Intelligence, Health Information Management and Transportation, having authored 23 papers that have together received 419 indexed citations. Recurring topics across this work include Time Series Analysis and Forecasting (11 papers), Stock Market Forecasting Methods (7 papers), Forecasting Techniques and Applications (7 papers), Imbalanced Data Classification Techniques (4 papers), Data Stream Mining Techniques (4 papers), Machine Learning and Data Classification (4 papers), Anomaly Detection Techniques and Applications (3 papers) and Water Quality Monitoring Technologies (2 papers). The work is most often cited by research in Management Science and Operations Research (111 citations), Signal Processing (65 citations), Artificial Intelligence (139 citations), Environmental Engineering (44 citations) and Transportation (16 citations). Vítor Cerqueira has collaborated with scholars based in Canada, Portugal and New Zealand. Frequent co-authors include Luı́s Torgo, Igor Mozetič, Luís Nobre Pereira, Carlos Soares, Nuno Moniz, Jasmina Smailović, Heitor Murilo Gomes, Albert Bifet, Rita P. Ribeiro and Nitesh V. Chawla. Their work appears in journals such as Machine Learning, IEEE Transactions on Intelligent Transportation Systems, Current Issues in Tourism, Expert Systems with Applications and Neural Processing Letters.
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.