Fábio Miranda
Impact in
- Transportation top 5%
- Human Mobility and Location-Based Analysis
- Urban Transport and Accessibility
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- Data Visualization and Analytics
Papers in
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- Data Visualization and Analytics 19
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- Human Mobility and Location-Based Analysis 5
- Urban Transport and Accessibility 3
- Co-authors
- Claudio Silva (14 shared papers)Marcos Lage (18 shared papers)Harish Doraiswamy (8 shared papers)Jianzhe Lin (1 shared paper)Kai Zhao (1 shared paper)Bruno Gonçalves (1 shared paper)Zhicheng Liu (1 shared paper)Junyan Yang (1 shared paper)
- Journals
- IEEE Transactions on Visualization and Computer Graphics (8 papers)Computers & Graphics (2 papers)Computer Graphics Forum (2 papers)Computers Environment and Urban Systems (1 paper)The Visual Computer (1 paper)
- Partner nations
- United StatesBrazilVietnam
In The Last Decade
Fábio Miranda
33 papers receiving 409 citations
Peers
Comparison fields: 5 of 70
- Transportation 146
- Computer Vision and Pattern Recognition 177
- Geography, Planning and Development 42
- Building and Construction 90
- Signal Processing 64
Countries citing papers authored by Fábio Miranda
This map shows the geographic impact of Fábio 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 Fábio Miranda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fábio Miranda more than expected).
Fields of papers citing papers by Fábio Miranda
This network shows the impact of papers produced by Fábio 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 Fábio Miranda. The network helps show where Fábio Miranda may publish in the future.
Co-authors
The 25 scholars most cited alongside Fábio 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
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 71 | |
| 2 | 2020 | 50 | |
| 3 | 2022 | 38 | |
| 4 | 2018 | 31 | |
| 5 | 2023 | 27 | |
| 6 | 2017 | 25 | |
| 7 | 2021 | 21 | |
| 8 | 2018 | 20 | |
| 9 | 2018 | 15 | |
| 10 | 2022 | 13 | |
| 11 | 2017 | 11 | |
| 12 | 2022 | 11 | |
| 13 | 2022 | 10 | |
| 14 | 2018 | 10 | |
| 15 | 2024 | 9 | |
| 16 | 2023 | 9 | |
| 17 | 2024 | 5 | |
| 18 | 2021 | 5 | |
| 19 | 2023 | 5 | |
| 20 | 2024 | 4 |
About Fábio Miranda
Fábio Miranda is a scholar working on Computer Vision and Pattern Recognition, Transportation, Signal Processing, Building and Construction and Global and Planetary Change, having authored 35 papers that have together received 417 indexed citations. Recurring topics across this work include Data Visualization and Analytics (19 papers), Data Management and Algorithms (6 papers), Human Mobility and Location-Based Analysis (5 papers), Computer Graphics and Visualization Techniques (5 papers), Remote Sensing and LiDAR Applications (4 papers), Urban Transport and Accessibility (3 papers), Land Use and Ecosystem Services (3 papers) and Geographic Information Systems Studies (3 papers). The work is most often cited by research in Transportation (146 citations), Computer Vision and Pattern Recognition (177 citations), Geography, Planning and Development (42 citations), Building and Construction (90 citations) and Signal Processing (64 citations). Fábio Miranda has collaborated with scholars based in United States, Brazil and Vietnam. Frequent co-authors include Claudio Silva, Marcos Lage, Harish Doraiswamy, Jianzhe Lin, Kai Zhao, Bruno Gonçalves, Zhicheng Liu, Junyan Yang, Juliana Freire and Nivan Ferreira. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Computers & Graphics, Computer Graphics Forum, Computers Environment and Urban Systems and The Visual Computer.
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.