Filipe Moura

2.5k total citations
76 papers, 1.7k citations indexed

About

Filipe Moura is a scholar working on Transportation, Automotive Engineering and Building and Construction. According to data from OpenAlex, Filipe Moura has authored 76 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Transportation, 25 papers in Automotive Engineering and 15 papers in Building and Construction. Recurrent topics in Filipe Moura's work include Urban Transport and Accessibility (42 papers), Transportation Planning and Optimization (32 papers) and Transportation and Mobility Innovations (16 papers). Filipe Moura is often cited by papers focused on Urban Transport and Accessibility (42 papers), Transportation Planning and Optimization (32 papers) and Transportation and Mobility Innovations (16 papers). Filipe Moura collaborates with scholars based in Portugal, United States and Denmark. Filipe Moura's co-authors include Paulo Cambra, Alexandre Gonçalves, Hal Turton, Tiago Domingos, Sofia Kalakou, Kelly J. Clifton, Luis Martínez, José M. Viegas, João Lourenço Cardoso and João de Abreu e Silva and has published in prestigious journals such as SHILAP Revista de lepidopterología, Landscape and Urban Planning and Technological Forecasting and Social Change.

In The Last Decade

Filipe Moura

69 papers receiving 1.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Filipe Moura Portugal 22 941 488 337 282 215 76 1.7k
Ashish Verma India 23 1.0k 1.1× 426 0.9× 387 1.1× 243 0.9× 232 1.1× 139 1.8k
Tiziana Campisi Italy 27 1.2k 1.3× 618 1.3× 473 1.4× 216 0.8× 335 1.6× 140 2.3k
Armando Cartenì Italy 24 1.0k 1.1× 582 1.2× 454 1.3× 133 0.5× 74 0.3× 77 2.0k
Chunfu Shao China 23 723 0.8× 592 1.2× 405 1.2× 452 1.6× 343 1.6× 134 1.9k
Tim Ryley United Kingdom 30 965 1.0× 505 1.0× 574 1.7× 155 0.5× 90 0.4× 95 2.5k
Jie Huang China 22 853 0.9× 241 0.5× 246 0.7× 248 0.9× 56 0.3× 84 1.5k
Víctor Cantillo Colombia 25 1.0k 1.1× 305 0.6× 373 1.1× 67 0.2× 284 1.3× 97 2.0k
Zia Wadud United Kingdom 27 957 1.0× 1.5k 3.1× 275 0.8× 678 2.4× 132 0.6× 88 2.8k
Maria Börjesson Sweden 24 1.4k 1.4× 497 1.0× 248 0.7× 84 0.3× 75 0.3× 98 1.8k
Enjian Yao China 26 1.2k 1.3× 1.3k 2.7× 425 1.3× 982 3.5× 66 0.3× 118 2.3k

Countries citing papers authored by Filipe Moura

Since Specialization
Citations

This map shows the geographic impact of Filipe Moura'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 Filipe Moura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Filipe Moura more than expected).

Fields of papers citing papers by Filipe Moura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Filipe Moura. 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 Filipe Moura. The network helps show where Filipe Moura may publish in the future.

Co-authorship network of co-authors of Filipe Moura

This figure shows the co-authorship network connecting the top 25 collaborators of Filipe Moura. A scholar is included among the top collaborators of Filipe Moura based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Filipe Moura. Filipe Moura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Orozco-Fontalvo, Maurício & Filipe Moura. (2025). Should MaaS bundles include home delivery services?. Transportation research procedia. 86. 136–143.
2.
Marqués, Manuel I., et al.. (2025). Bridging the gap: a scoping review exploring the relationship between objective and subjective cycling safety. Transport Reviews. 45(6). 993–1015.
3.
Azevedo, Carlos Lima, et al.. (2025). Creating visualizations using generative AI to guide decision-making in street designs: A viewpoint. SHILAP Revista de lepidopterología. 7. 100104–100104. 3 indexed citations
4.
Orozco-Fontalvo, Maurício, et al.. (2024). IMPReSS: A comprehensive method to classify MaaS systems. Transport Policy. 155. 234–241. 2 indexed citations
5.
Moura, Filipe, et al.. (2024). Reproducible methods for modeling combined public transport and cycling trips and associated benefits: Evidence from the biclaR tool. Computers Environment and Urban Systems. 117. 102230–102230. 2 indexed citations
6.
Orozco-Fontalvo, Maurício, et al.. (2023). Mobility as a service and socio-territorial inequalities: A systematic literature review. Journal of Transport and Land Use. 16(1). 215–240. 8 indexed citations
7.
Marques, Manuel, et al.. (2022). CYCLANDS: Cycling geo-located accidents, their details and severities. Scientific Data. 9(1). 237–237. 8 indexed citations
8.
Marques, Manuel, et al.. (2022). Impact of COVID-19 lockdown on the behavior change of cyclists in Lisbon, using multinomial logit regression analysis. Transportation Research Interdisciplinary Perspectives. 14. 100609–100609. 14 indexed citations
9.
Cambra, Paulo, et al.. (2019). WalkBot: A Portable System to Scan Sidewalks. 167–172. 3 indexed citations
10.
Fernandes, Carlos, Carlos Oliveira Cruz, & Filipe Moura. (2019). Ex post evaluation of PPP government-led renegotiations: Impacts on the financing of road infrastructure. The Engineering Economist. 64(2). 116–141. 15 indexed citations
11.
Moura, Filipe, Paulo Cambra, & Alexandre Gonçalves. (2016). Measuring walkability for distinct pedestrian groups with a participatory assessment method: A case study in Lisbon. Landscape and Urban Planning. 157. 282–296. 271 indexed citations
12.
Martínez, Luis, et al.. (2016). Insights into carsharing demand dynamics: Outputs of an agent-based model application to Lisbon, Portugal. International Journal of Sustainable Transportation. 11(2). 148–159. 68 indexed citations
13.
Moura, Filipe, et al.. (2015). Electric vehicle diffusion in the Portuguese automobile market. International Journal of Sustainable Transportation. 10(2). 49–64. 18 indexed citations
14.
Correia, Gonçalo Homem de Almeida, et al.. (2015). Insights into Carsharing Demand Dynamics: Outputs of an Agent-Based Model Application to Lisbon, Portugal. Transportation Research Board 94th Annual MeetingTransportation Research Board. 2 indexed citations
15.
Silva, João de Abreu e, et al.. (2015). Influential vectors in fuel consumption by an urban bus operator: Bus route, driver behavior or vehicle type?. Transportation Research Part D Transport and Environment. 38. 94–104. 27 indexed citations
16.
Fernandes, Carlos, Miguel A. Ferreira, & Filipe Moura. (2015). PPPs — True Financial Costs and Hidden Returns. Transport Reviews. 36(2). 207–227. 25 indexed citations
17.
Silva, João de Abreu e, et al.. (2015). Stated preference surveys in transport demand modeling: disengagement of respondents. Transportation Letters. 8(1). 13–25. 22 indexed citations
18.
Brando, M., et al.. (2014). Simulating the Impact of the High-Speed Network on the Performance of Other Transport Operators: The HSR on the Lisbon-Oporto Link. Transportation Research Board 93rd Annual MeetingTransportation Research Board. 2 indexed citations
19.
Moura, Filipe, et al.. (2012). Electric Vehicle Diffusion in the Lisbon Metropolitan Area: Major Constraints and Possible Market Shares in the Medium and Long Term. 1 indexed citations
20.
Moura, Filipe, et al.. (2009). CAReFUL - Car Fleet Renewal as a Key Role for Atmospheric Emission Reduction. 5 indexed citations

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.

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