Paulo Urbano
- Artificial Intelligence top 10%
- Reinforcement Learning in Robotics 10
- Evolutionary Algorithms and Applications 8
- Metaheuristic Optimization Algorithms Research 5
- Semantic Web and Ontologies 3
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- Geographic Information Systems Studies 4
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- Distributed Control Multi-Agent Systems 3
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- 3D Modeling in Geospatial Applications 3
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- Indoor Air Quality and Microbial Exposure 2
- Co-authors
- Anders Lyhne ChristensenJorge GomesFernando SilvaAnthony P. ClevengerNathan D. JacksonMargarida Santos‐ReisFernando AscensãoJosé Duarte
- Journals
- Ecological Modelling (1 paper)Water Science & Technology (2 papers)Soft Computing (1 paper)
- Partner nations
- PortugalUnited StatesMexico
In The Last Decade
Paulo Urbano
24 papers receiving 275 citations
Peers
Comparison fields: 5 of 76
- Artificial Intelligence 134
- Geography, Planning and Development 17
- Ecology 59
- Computer Networks and Communications 41
- Ecological Modeling 7
Countries citing papers authored by Paulo Urbano
This map shows the geographic impact of Paulo Urbano'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 Paulo Urbano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paulo Urbano more than expected).
Fields of papers citing papers by Paulo Urbano
This network shows the impact of papers produced by Paulo Urbano. 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 Paulo Urbano. The network helps show where Paulo Urbano may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Paulo Urbano, 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 | 2016 | 5 | |
| 3 | 2014 | 24 | |
| 4 | 2014 | 2 | |
| 5 | 2014 | 5 | |
| 6 | 2013 | 4 | |
| 7 | 2013 | 63 | |
| 8 | 2013 | 76 | |
| 9 | A Land Use Identification and Visualization Tool Driven by OWL Ontologies. | 2012 | 3 |
| 10 | A computer-aided urban planning tool driven by semantic web ontologies | 2012 | 5 |
| 11 | 2012 | 23 | |
| 12 | 2011 | 3 | |
| 13 | The first steps of robotic cancan | 2010 | 0 |
| 14 | Dynamic scripting applied to a First-Person Shooter | 2010 | 1 |
| 15 | 2009 | 1 | |
| 16 | 2009 | 1 | |
| 17 | 2005 | 0 | |
| 18 | Differential effects of lime and sugar foam waste on the mineral composition and forage productivity of an acid soil | 2001 | 11 |
| 19 | 1999 | 9 | |
| 20 | 1998 | 9 |
About Paulo Urbano
Paulo Urbano is a scholar working on Geography, Planning and Development, Artificial Intelligence and Signal Processing, having authored 27 papers that have together received 289 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (10 papers), Evolutionary Algorithms and Applications (8 papers), Metaheuristic Optimization Algorithms Research (5 papers), Geographic Information Systems Studies (4 papers), 3D Modeling in Geospatial Applications (3 papers), Distributed Control Multi-Agent Systems (3 papers), Semantic Web and Ontologies (3 papers) and Indoor Air Quality and Microbial Exposure (2 papers). The work is most often cited by research in Artificial Intelligence (134 citations), Geography, Planning and Development (17 citations) and Ecology (59 citations). Paulo Urbano has collaborated with scholars based in Portugal, United States and Mexico. Frequent co-authors include Anders Lyhne Christensen, Jorge Gomes, Fernando Silva, Anthony P. Clevenger, Nathan D. Jackson, Margarida Santos‐Reis, Fernando Ascensão, José Duarte, Nuno Montenegro and Sancho Oliveira. Their work appears in journals such as Ecological Modelling, Water Science & Technology and Soft Computing.
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.