Márcio P. Basgalupp
- Artificial Intelligence top 5%
- Information Systems top 5%
- Computational Theory and Mathematics top 5%
- Molecular Biology
- Software top 5%
- Co-authors
- Rodrigo C. BarrosAndré C. P. L. F. de CarvalhoAlex A. FreitasDuncan D. RuizRicardo CerriVinícius Veloso de MeloPaul KaufmannTimothy Atkinson
- Topics
- Evolutionary Algorithms and Applications (24 papers)Metaheuristic Optimization Algorithms Research (21 papers)Machine Learning and Data Classification (15 papers)
- Partner nations
- BrazilUnited KingdomGermany
In The Last Decade
Márcio P. Basgalupp
41 papers receiving 661 citations
Peers
Comparison fields: 5 of 115
- Artificial Intelligence 452
- Information Systems 213
- Computational Theory and Mathematics 107
- Molecular Biology 79
- Software 56
Countries citing papers authored by Márcio P. Basgalupp
This map shows the geographic impact of Márcio P. Basgalupp'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 Márcio P. Basgalupp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Márcio P. Basgalupp more than expected).
Fields of papers citing papers by Márcio P. Basgalupp
This network shows the impact of papers produced by Márcio P. Basgalupp. 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 Márcio P. Basgalupp. The network helps show where Márcio P. Basgalupp may publish in the future.
Co-authorship network of co-authors of Márcio P. Basgalupp
This figure shows the co-authorship network connecting the top 25 collaborators of Márcio P. Basgalupp. A scholar is included among the top collaborators of Márcio P. Basgalupp 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 Márcio P. Basgalupp. Márcio P. Basgalupp is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 8 | |
| 5 | 8 | |
| 6 | 12 | |
| 7 | 1 | |
| 8 | 5 | |
| 9 | 13 | |
| 10 | 3 | |
| 11 | Partitioning the target space in multi-output learning | 1 |
| 12 | 9 | |
| 13 | 54 | |
| 14 | 1 | |
| 15 | 6 | |
| 16 | 23 | |
| 17 | 3 | |
| 18 | 15 | |
| 19 | 249 | |
| 20 | 28 |
About Márcio P. Basgalupp
Márcio P. Basgalupp is a scholar working on Software, Artificial Intelligence and Information Systems, having authored 45 papers that have together received 696 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (24 papers), Metaheuristic Optimization Algorithms Research (21 papers) and Machine Learning and Data Classification (15 papers). The work is most often cited by research in Software (56 citations), Artificial Intelligence (452 citations) and Information Systems (213 citations). Márcio P. Basgalupp has collaborated with scholars based in Brazil, United Kingdom and Germany. Frequent co-authors include Rodrigo C. Barros, André C. P. L. F. de Carvalho, Alex A. Freitas, Duncan D. Ruiz, Ricardo Cerri, Vinícius Veloso de Melo, Paul Kaufmann, Timothy Atkinson, Vili Podgorelec and Karina Machado. Their work appears in journals such as BMC Bioinformatics, Information Sciences and IEEE Transactions on Evolutionary Computation.
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.