Leandro L. Minku
- Artificial Intelligence top 0.2%
- Information Systems top 0.5%
- Software top 0.5%
- Computer Networks and Communications top 2%
- Management Science and Operations Research top 1%
- Co-authors
- Xin YaoShuo WangJoão GamaJerzy StefanowskiMichał WoźniakBartosz KrawczykA. P. WhiteLiyan Song
- Topics
- Software Engineering Research (43 papers)Data Stream Mining Techniques (38 papers)Software Reliability and Analysis Research (30 papers)
- Journals
- European Journal of Operational ResearchInformation SciencesInternational Journal of Environmental Research and Public Health
- Partner nations
- United KingdomChinaBrazil
In The Last Decade
Leandro L. Minku
117 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Artificial Intelligence 2.7k
- Information Systems 1.1k
- Software 702
- Computer Networks and Communications 695
- Management Science and Operations Research 409
Countries citing papers authored by Leandro L. Minku
This map shows the geographic impact of Leandro L. Minku'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 Leandro L. Minku with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leandro L. Minku more than expected).
Fields of papers citing papers by Leandro L. Minku
This network shows the impact of papers produced by Leandro L. Minku. 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 Leandro L. Minku. The network helps show where Leandro L. Minku may publish in the future.
Co-authorship network of co-authors of Leandro L. Minku
This figure shows the co-authorship network connecting the top 25 collaborators of Leandro L. Minku. A scholar is included among the top collaborators of Leandro L. Minku 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 Leandro L. Minku. Leandro L. Minku 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 | 2 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 8 | |
| 6 | 6 | |
| 7 | 12 | |
| 8 | 21 | |
| 9 | 35 | |
| 10 | 2 | |
| 11 | 14 | |
| 12 | 12 | |
| 13 | 25 | |
| 14 | 10 | |
| 15 | Dealing with multiple classes in online class imbalance learning | 34 |
| 16 | Proceedings of the Fourth International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering | 2 |
| 17 | 61 | |
| 18 | 2 | |
| 19 | 63 | |
| 20 | 20 |
About Leandro L. Minku
Leandro L. Minku is a scholar working on Software, Information Systems and Artificial Intelligence, having authored 121 papers that have together received 4.0k indexed citations. Recurring topics across this work include Software Engineering Research (43 papers), Data Stream Mining Techniques (38 papers) and Software Reliability and Analysis Research (30 papers). The work is most often cited by research in Software (702 citations), Artificial Intelligence (2.7k citations) and Information Systems (1.1k citations). Leandro L. Minku has collaborated with scholars based in United Kingdom, China and Brazil. Frequent co-authors include Xin Yao, Shuo Wang, João Gama, Jerzy Stefanowski, Michał Woźniak, Bartosz Krawczyk, A. P. White, Shuo Wang, Liyan Song and Ke Tang. Their work appears in journals such as European Journal of Operational Research, Information Sciences and International Journal of Environmental Research and Public Health.
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.