Leandro Miranda
Impact in
- Human-Computer Interaction top 5%
- Hand Gesture Recognition Systems
- Emergency Medicine top 10%
- Trauma and Emergency Care Studies
- Emergency and Acute Care Studies
Papers in
-
- Data Stream Mining Techniques 4
-
- Time Series Analysis and Forecasting 3
- Data Management and Algorithms 2
- Co-authors
- Thomas Lewiner (2 shared papers)Thales Vieira (2 shared papers)Antônio Wilson Vieira (2 shared papers)Mário F. M. Campos (2 shared papers)José Viterbo (8 shared papers)Flávia Bernardini (8 shared papers)Luíz Marcelo Sá Malbouisson (4 shared papers)Robson Luís Oliveira de Amorim (3 shared papers)
- Journals
- Frontiers in Neurology (1 paper)Journal of the Association for Information Systems (1 paper)Critical Care (1 paper)Pattern Recognition Letters (1 paper)Artificial Intelligence Review (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-authors
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 | 2012 | 58 | |
| 2 | 2020 | 50 | |
| 3 | 2013 | 40 | |
| 4 | 2016 | 34 | |
| 5 | 2021 | 24 | |
| 6 | 2017 | 15 | |
| 7 | 2015 | 12 | |
| 8 | 2014 | 7 | |
| 9 | 2017 | 6 | |
| 10 | 2014 | 5 | |
| 11 | 2020 | 5 | |
| 12 | 2022 | 2 | |
| 13 | 2025 | 1 | |
| 14 | Towards the Use of Clustering Algorithms in Recommender Systems | 2020 | 1 |
| 15 | 2020 | 1 | |
| 16 | 2020 | 1 | |
| 17 | 2019 | 1 | |
| 18 | 2025 | 0 |
About Leandro Miranda
Leandro Miranda is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Epidemiology and Emergency Medicine, having authored 18 papers that have together received 263 indexed citations. Recurring topics across this work include Data Stream Mining Techniques (4 papers), Trauma and Emergency Care Studies (3 papers), Time Series Analysis and Forecasting (3 papers), Traumatic Brain Injury and Neurovascular Disturbances (3 papers), Data Management and Algorithms (2 papers), Human Motion and Animation (2 papers), Hand Gesture Recognition Systems (2 papers) and Human Pose and Action Recognition (2 papers). The work is most often cited by research in Human-Computer Interaction (69 citations), Emergency Medicine (61 citations), Computer Vision and Pattern Recognition (101 citations), Health Informatics (5 citations) and Neurology (46 citations). Leandro Miranda has collaborated with scholars based in Brazil, United States and United Kingdom. Frequent co-authors include Thomas Lewiner, Thales Vieira, Antônio Wilson Vieira, Mário F. M. Campos, José Viterbo, Flávia Bernardini, Luíz Marcelo Sá Malbouisson, Robson Luís Oliveira de Amorim, João Gabriel Rosa Ramos and Irineu Tadeu Velasco. Their work appears in journals such as Frontiers in Neurology, Journal of the Association for Information Systems, Critical Care, Pattern Recognition Letters and Artificial Intelligence Review.
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.