Fernanda Campos
Impact in
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- Scientific Computing and Data Management
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- Online Learning and Analytics
Papers in
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- Service-Oriented Architecture and Web Services 13
- Research Data Management Practices 11
- Software Engineering Research 8
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- Scientific Computing and Data Management 32
- Co-authors
- Regina Braga (63 shared papers)José David (58 shared papers)Victor Ströele (41 shared papers)Mário A. R. Dantas (6 shared papers)Jano Moreira de Souza (3 shared papers)Geraldo Zimbrão (3 shared papers)Rafael Capilla (1 shared paper)Ana Regina Rocha (1 shared paper)
In The Last Decade
Fernanda Campos
69 papers receiving 331 citations
Peers
Comparison fields: 5 of 65
- Information Systems and Management 103
- Computer Science Applications 62
- Information Systems 222
- Software 28
- Management Information Systems 30
Countries citing papers authored by Fernanda Campos
This map shows the geographic impact of Fernanda Campos'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 Fernanda Campos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernanda Campos more than expected).
Fields of papers citing papers by Fernanda Campos
This network shows the impact of papers produced by Fernanda Campos. 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 Fernanda Campos. The network helps show where Fernanda Campos may publish in the future.
Co-authors
The 18 scholars most cited alongside Fernanda Campos, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 54 | |
| 2 | 2018 | 33 | |
| 3 | 2017 | 22 | |
| 4 | 2017 | 18 | |
| 5 | 2011 | 14 | |
| 6 | 2018 | 11 | |
| 7 | 2017 | 10 | |
| 8 | 2015 | 9 | |
| 9 | 2020 | 9 | |
| 10 | Using Ontology and Data Provenance to Improve Software Processes. | 2015 | 7 |
| 11 | 2017 | 7 | |
| 12 | 2021 | 7 | |
| 13 | 2017 | 7 | |
| 14 | 2022 | 6 | |
| 15 | 2019 | 6 | |
| 16 | 2016 | 6 | |
| 17 | 2020 | 5 | |
| 18 | 2017 | 5 | |
| 19 | 2015 | 5 | |
| 20 | 2017 | 5 |
About Fernanda Campos
Fernanda Campos is a scholar working on Information Systems, Information Systems and Management, Computer Science Applications, Computer Networks and Communications and Artificial Intelligence, having authored 77 papers that have together received 352 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (32 papers), Service-Oriented Architecture and Web Services (13 papers), Research Data Management Practices (11 papers), Distributed and Parallel Computing Systems (11 papers), Open Education and E-Learning (9 papers), Software Engineering Research (8 papers), Online Learning and Analytics (8 papers) and E-Learning and Knowledge Management (7 papers). The work is most often cited by research in Information Systems and Management (103 citations), Computer Science Applications (62 citations), Information Systems (222 citations), Software (28 citations) and Management Information Systems (30 citations). Fernanda Campos has collaborated with scholars based in Brazil, Portugal and Spain. Frequent co-authors include Regina Braga, José David, Victor Ströele, Mário A. R. Dantas, Jano Moreira de Souza, Geraldo Zimbrão, Rafael Capilla, Ana Regina Rocha, Dianne Bryant and Marcos R. S. Borges. Their work appears in journals such as Knowledge and Information Systems, Journal of Grid Computing, BMC Veterinary Research, Journal of Biomedical Informatics and Information and Software Technology.
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.