André Nascimento
Impact in
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- Computational Drug Discovery Methods
- Computer Science Applications top 10%
- Online Learning and Analytics
Papers in
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- Topic Modeling 4
- Natural Language Processing Techniques 3
- Advanced Text Analysis Techniques 3
- Machine Learning and Data Classification 3
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- Online and Blended Learning 3
- Co-authors
- Ricardo B. C. Prudêncio (9 shared papers)Ivan G. Costa (2 shared papers)Rafael Ferreira Mello (18 shared papers)Péricles Miranda (19 shared papers)Dragan Gašević (5 shared papers)Tapas Si (4 shared papers)Katerina Mangaroska (1 shared paper)Fred Freitas (1 shared paper)
In The Last Decade
André Nascimento
33 papers receiving 323 citations
Peers
Comparison fields: 5 of 76
- Computational Theory and Mathematics 148
- Computer Science Applications 28
- Health Informatics 4
- Artificial Intelligence 73
- Molecular Biology 139
Countries citing papers authored by André Nascimento
This map shows the geographic impact of André Nascimento'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 André Nascimento with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites André Nascimento more than expected).
Fields of papers citing papers by André Nascimento
This network shows the impact of papers produced by André Nascimento. 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 André Nascimento. The network helps show where André Nascimento may publish in the future.
Co-authors
The 25 scholars most cited alongside André Nascimento, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 179 | |
| 2 | 2020 | 20 | |
| 3 | 2018 | 14 | |
| 4 | 2021 | 13 | |
| 5 | 2020 | 12 | |
| 6 | 2019 | 10 | |
| 7 | 2024 | 10 | |
| 8 | 2021 | 10 | |
| 9 | 2023 | 8 | |
| 10 | 2021 | 7 | |
| 11 | 2022 | 7 | |
| 12 | 2020 | 6 | |
| 13 | Group Profiling for Understanding Educational Social Networking. | 2013 | 4 |
| 14 | 2021 | 4 | |
| 15 | 2022 | 3 | |
| 16 | Investigation and Mitigation of the Amplification of the Harmonic Current to the Filtering System of an Aluminum Smelter | 2006 | 3 |
| 17 | 2022 | 3 | |
| 18 | 2020 | 2 | |
| 19 | 2009 | 2 | |
| 20 | 2016 | 2 |
About André Nascimento
André Nascimento is a scholar working on Artificial Intelligence, Education, Information Systems, Computational Theory and Mathematics and Molecular Biology, having authored 41 papers that have together received 334 indexed citations. Recurring topics across this work include Topic Modeling (4 papers), Online and Blended Learning (3 papers), Natural Language Processing Techniques (3 papers), Innovative Teaching and Learning Methods (3 papers), Advanced Text Analysis Techniques (3 papers), Machine Learning and Data Classification (3 papers), Complex Network Analysis Techniques (3 papers) and Online Learning and Analytics (3 papers). The work is most often cited by research in Computational Theory and Mathematics (148 citations), Computer Science Applications (28 citations), Health Informatics (4 citations), Artificial Intelligence (73 citations) and Molecular Biology (139 citations). André Nascimento has collaborated with scholars based in Brazil, Australia and India. Frequent co-authors include Ricardo B. C. Prudêncio, Ivan G. Costa, Rafael Ferreira Mello, Péricles Miranda, Dragan Gašević, Tapas Si, Katerina Mangaroska, Fred Freitas, Anderson Pinheiro Cavalcanti and Rafael Dueire Lins. Their work appears in journals such as Expert Systems with Applications, IEEE Transactions on Learning Technologies, Artificial Intelligence Review, BMC Bioinformatics and New Generation Computing.
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.