Jorge Poco
- Transportation top 2%
- Human Mobility and Location-Based Analysis 6
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- Data Visualization and Analytics 16
- Video Analysis and Summarization 5
- Image Retrieval and Classification Techniques 5
- Signal Processing top 5%
- Data Management and Algorithms 8
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- Species Distribution and Climate Change 5
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- Online Learning and Analytics 4
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- Impact of Light on Environment and Health 3
- Co-authors
- Claudio SilvaJeffrey HeerHuy T. VoJuliana FreireNivan FerreiraAritra DasguptaLuís Gustavo NonatoRosane Minghim
- Journals
- IEEE Transactions on Visualization and Computer Graphics (10 papers)Computer Graphics Forum (6 papers)Computers & Graphics (3 papers)
- Partner nations
- BrazilUnited StatesPeru
In The Last Decade
Jorge Poco
37 papers receiving 912 citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Transportation 237
- Computer Vision and Pattern Recognition 595
- Signal Processing 206
- Computer Graphics and Computer-Aided Design 44
- Geography, Planning and Development 66
Countries citing papers authored by Jorge Poco
This map shows the geographic impact of Jorge Poco'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 Jorge Poco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jorge Poco more than expected).
Fields of papers citing papers by Jorge Poco
This network shows the impact of papers produced by Jorge Poco. 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 Jorge Poco. The network helps show where Jorge Poco may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jorge Poco, 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 | 2025 | 1 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 0 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 0 | |
| 9 | 2023 | 3 | |
| 10 | 2023 | 1 | |
| 11 | 2022 | 4 | |
| 12 | 2022 | 5 | |
| 13 | 2021 | 6 | |
| 14 | 2021 | 8 | |
| 15 | 2019 | 27 | |
| 16 | Riding from Urban Data to Insight Using New York City Taxis | 2014 | 1 |
| 17 | 2014 | 23 | |
| 18 | Global net land carbon sink: Results from the Multi-scale Synthesis and Terrestrial Model Intercomparison Project (MsTMIP) | 2013 | 0 |
| 19 | Visual Exploration of Big Spatio-Temporal Urban Data: A Study of New York City Taxi Tripsbreakdown → | 2013 | 369 |
| 20 | 2013 | 23 |
About Jorge Poco
Jorge Poco is a scholar working on Ecological Modeling, Computer Vision and Pattern Recognition and Transportation, having authored 44 papers that have together received 944 indexed citations. Recurring topics across this work include Data Visualization and Analytics (16 papers), Data Management and Algorithms (8 papers), Human Mobility and Location-Based Analysis (6 papers), Video Analysis and Summarization (5 papers), Species Distribution and Climate Change (5 papers), Image Retrieval and Classification Techniques (5 papers), Online Learning and Analytics (4 papers) and Impact of Light on Environment and Health (3 papers). The work is most often cited by research in Transportation (237 citations), Computer Vision and Pattern Recognition (595 citations) and Signal Processing (206 citations). Jorge Poco has collaborated with scholars based in Brazil, United States and Peru. Frequent co-authors include Claudio Silva, Jeffrey Heer, Huy T. Vo, Juliana Freire, Nivan Ferreira, Aritra Dasgupta, Luís Gustavo Nonato, Rosane Minghim, Yaxing Wei and Fernando V. Paulovich. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Computer Graphics Forum, Computers & Graphics, Data Mining and Knowledge Discovery and Computing in Science & Engineering.
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.