Leandro Miranda
- Human-Computer Interaction top 5%
- Emergency Medicine top 10%
- Trauma and Emergency Care Studies 3
- Cardiac Arrest and Resuscitation 2
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- Human Pose and Action Recognition 2
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- Traumatic Brain Injury and Neurovascular Disturbances 3
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- Data Stream Mining Techniques 4
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- Time Series Analysis and Forecasting 3
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- Data Mining Algorithms and Applications 2
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- Sepsis Diagnosis and Treatment 2
- Co-authors
- Mário F. M. CamposAntônio Wilson VieiraThomas LewinerThales VieiraFlávia BernardiniJosé ViterboLuíz Marcelo Sá MalbouissonRobson Luís Oliveira de Amorim
- Journals
- Critical Care (1 paper)Journal of the Association for Information Systems (1 paper)Pattern Recognition Letters (1 paper)
- Partner nations
- BrazilUnited StatesUnited Kingdom
In The Last Decade
Leandro Miranda
16 papers receiving 249 citations
Peers
Comparison fields: 5 of 77
- Human-Computer Interaction 69
- Emergency Medicine 61
- Computer Vision and Pattern Recognition 101
- Health Informatics 5
- Neurology 46
Countries citing papers authored by Leandro Miranda
This map shows the geographic impact of Leandro Miranda'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 Miranda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leandro Miranda more than expected).
Fields of papers citing papers by Leandro Miranda
This network shows the impact of papers produced by Leandro Miranda. 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 Miranda. The network helps show where Leandro Miranda may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Leandro Miranda, 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 | 2022 | 2 | |
| 4 | 2021 | 24 | |
| 5 | Towards the Use of Clustering Algorithms in Recommender Systems | 2020 | 1 |
| 6 | 2020 | 50 | |
| 7 | 2020 | 1 | |
| 8 | 2020 | 1 | |
| 9 | 2020 | 5 | |
| 10 | 2019 | 1 | |
| 11 | 2017 | 15 | |
| 12 | 2017 | 6 | |
| 13 | 2016 | 34 | |
| 14 | 2015 | 12 | |
| 15 | 2014 | 7 | |
| 16 | 2014 | 5 | |
| 17 | 2013 | 40 | |
| 18 | 2012 | 58 |
About Leandro Miranda
Leandro Miranda is a scholar working on Signal Processing, Emergency Medicine and Human-Computer Interaction, having authored 18 papers that have together received 263 indexed citations. Recurring topics across this work include Data Stream Mining Techniques (4 papers), Time Series Analysis and Forecasting (3 papers), Traumatic Brain Injury and Neurovascular Disturbances (3 papers), Trauma and Emergency Care Studies (3 papers), Cardiac Arrest and Resuscitation (2 papers), Human Pose and Action Recognition (2 papers), Data Mining Algorithms and Applications (2 papers) and Sepsis Diagnosis and Treatment (2 papers). The work is most often cited by research in Human-Computer Interaction (69 citations), Emergency Medicine (61 citations) and Computer Vision and Pattern Recognition (101 citations). Leandro Miranda has collaborated with scholars based in Brazil, United States and United Kingdom. Frequent co-authors include Mário F. M. Campos, Antônio Wilson Vieira, Thomas Lewiner, Thales Vieira, Flávia Bernardini, José Viterbo, Luíz Marcelo Sá Malbouisson, Robson Luís Oliveira de Amorim, João Gabriel Rosa Ramos and Wellingson Silva Paiva. Their work appears in journals such as Critical Care, Journal of the Association for Information Systems and Pattern Recognition Letters.
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.