César García‐Osorio
- Artificial Intelligence top 1%
- Machine Learning and Data Classification 20
- Imbalanced Data Classification Techniques 14
- Neural Networks and Applications 12
- Machine Learning and Algorithms 5
- Data Stream Mining Techniques 4
-
- Online Learning and Analytics 3
-
- Face and Expression Recognition 6
-
- Data Mining Algorithms and Applications 9
- Co-authors
- Juan J. RodríguezJosé-Francisco Díez-PastorNicolás García‐PedrajasLudmila I. KunchevaÁlvar Arnaiz‐GonzálezColin FyfeJesús MaudesLuke Sy
- Journals
- SHILAP Revista de lepidopterología (1 paper)Expert Systems with Applications (4 papers)BMC Bioinformatics (1 paper)
- Partner nations
- SpainUnited KingdomPoland
In The Last Decade
César García‐Osorio
54 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 141
- Artificial Intelligence 867
- Health Information Management 91
- Computer Science Applications 89
- Computer Vision and Pattern Recognition 208
- Health Informatics 11
Countries citing papers authored by César García‐Osorio
This map shows the geographic impact of César García‐Osorio'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 César García‐Osorio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites César García‐Osorio more than expected).
Fields of papers citing papers by César García‐Osorio
This network shows the impact of papers produced by César García‐Osorio. 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 César García‐Osorio. The network helps show where César García‐Osorio may publish in the future.
Co-authorship network
The 25 scholars most cited alongside César García‐Osorio, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 1 | |
| 6 | 2022 | 2 | |
| 7 | 2020 | 27 | |
| 8 | 2020 | 26 | |
| 9 | 2019 | 23 | |
| 10 | 2019 | 78 | |
| 11 | 2019 | 7 | |
| 12 | 2016 | 24 | |
| 13 | 2015 | 154 | |
| 14 | 2010 | 70 | |
| 15 | 2009 | 13 | |
| 16 | Constructing ensembles of classifiers using linear projections based on misclassified instances | 2008 | 1 |
| 17 | Nonlinear Boosting Projections for Ensemble Construction | 2007 | 71 |
| 18 | 2005 | 23 | |
| 19 | 2005 | 4 | |
| 20 | Using Andrews Curves for Clustering and Sub-clustering Self-Organizing Maps | 2004 | 2 |
About César García‐Osorio
César García‐Osorio is a scholar working on Artificial Intelligence, Computer Science Applications and Information Systems, having authored 56 papers that have together received 1.3k indexed citations. Recurring topics across this work include Machine Learning and Data Classification (20 papers), Imbalanced Data Classification Techniques (14 papers), Neural Networks and Applications (12 papers), Data Mining Algorithms and Applications (9 papers), Face and Expression Recognition (6 papers), Machine Learning and Algorithms (5 papers), Data Stream Mining Techniques (4 papers) and Online Learning and Analytics (3 papers). The work is most often cited by research in Artificial Intelligence (867 citations), Health Information Management (91 citations) and Computer Science Applications (89 citations). César García‐Osorio has collaborated with scholars based in Spain, United Kingdom and Poland. Frequent co-authors include Juan J. Rodríguez, José-Francisco Díez-Pastor, Nicolás García‐Pedrajas, Ludmila I. Kuncheva, Álvar Arnaiz‐González, Colin Fyfe, Jesús Maudes, Luke Sy, Aida de Haro-García and María Consuelo Sáiz Manzanares. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and BMC Bioinformatics.
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.