Ana Azevedo
- Sociology and Political Science
- Information Systems top 10%
- Management Information Systems top 10%
- Artificial Intelligence
- Communication top 10%
- Co-authors
- Manuel Filipe SantosDaniel RobeyMichael R. MullenEllen A. DrostArtur StrzeleckiJarkko SuhonenMariia RizunPaulina Rutecka
- Topics
- Big Data and Business Intelligence (8 papers)Data Mining Algorithms and Applications (5 papers)Technology Adoption and User Behaviour (4 papers)
- Partner nations
- PortugalBrazilUnited States
In The Last Decade
Ana Azevedo
33 papers receiving 372 citations
Peers
Comparison fields: 5 of 100
- Sociology and Political Science 90
- Information Systems 84
- Management Information Systems 73
- Artificial Intelligence 68
- Communication 53
Countries citing papers authored by Ana Azevedo
This map shows the geographic impact of Ana Azevedo'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 Ana Azevedo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ana Azevedo more than expected).
Fields of papers citing papers by Ana Azevedo
This network shows the impact of papers produced by Ana Azevedo. 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 Ana Azevedo. The network helps show where Ana Azevedo may publish in the future.
Co-authorship network of co-authors of Ana Azevedo
This figure shows the co-authorship network connecting the top 25 collaborators of Ana Azevedo. A scholar is included among the top collaborators of Ana Azevedo 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 Ana Azevedo. Ana Azevedo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 9 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 4 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 5 | |
| 13 | 5 | |
| 14 | Planning and implementing a new assessment strategy using an e-learning platform | 3 |
| 15 | Binding data mining to final business users of business intelligence systems | 1 |
| 16 | 0 | |
| 17 | 12 | |
| 18 | An architecture for an effective usage of data mining in business intelligence systems | 1 |
| 19 | KDD, SEMMA AND CRISP-DM: A PARALLEL OVERVIEW | 153 |
| 20 | Developing an information system at the Engineering Faculty of Porto University | 2 |
About Ana Azevedo
Ana Azevedo is a scholar working on Management Information Systems, Computer Science Applications and Information Systems and Management, having authored 37 papers that have together received 416 indexed citations. Recurring topics across this work include Big Data and Business Intelligence (8 papers), Data Mining Algorithms and Applications (5 papers) and Technology Adoption and User Behaviour (4 papers). The work is most often cited by research in Computer Science Applications (46 citations), Management Information Systems (73 citations) and Communication (53 citations). Ana Azevedo has collaborated with scholars based in Portugal, Brazil and United States. Frequent co-authors include Manuel Filipe Santos, Daniel Robey, Michael R. Mullen, Ellen A. Drost, Artur Strzelecki, Jarkko Suhonen, Mariia Rizun, Paulina Rutecka, Karen Paul and Deolinda Meira. Their work appears in journals such as International Journal of Environmental Research and Public Health, Sustainability and Healthcare.
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.