Countries citing papers authored by Carlos Lima Azevedo
Since
Specialization
Citations
This map shows the geographic impact of Carlos Lima Azevedo'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 Carlos Lima Azevedo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carlos Lima Azevedo more than expected).
Fields of papers citing papers by Carlos Lima Azevedo
This network shows the impact of papers produced by Carlos Lima Azevedo. 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 Carlos Lima Azevedo. The network helps show where Carlos Lima Azevedo may publish in the future.
Co-authorship network of co-authors of Carlos Lima Azevedo
This figure shows the co-authorship network connecting the top 25 collaborators of Carlos Lima Azevedo.
A scholar is included among the top collaborators of Carlos Lima Azevedo 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 Carlos Lima Azevedo. Carlos Lima Azevedo is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Chen, Siyu, Ravi Seshadri, Carlos Lima Azevedo, et al.. (2023). Market design for tradable mobility credits. Transportation Research Part C Emerging Technologies. 151. 104121–104121.8 indexed citations
Pereira, Francisco C., et al.. (2022). Explainable Metamodels for ATM Performance Assessment. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU).1 indexed citations
Ros, Oliva G. Cantú, et al.. (2022). Active Learning Metamodelling for R-NEST. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU).1 indexed citations
Pereira, Francisco C., et al.. (2021). Active Learning Metamodels for ATM Simulation Modeling. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU).1 indexed citations
Seshadri, Ravi, et al.. (2019). Understanding Preferences for Automated Mobility on Demand Using a Smartphone-Based Stated Preference Survey: A Case Study of Singapore. Transportation Research Board 98th Annual MeetingTransportation Research Board.6 indexed citations
14.
Oke, Jimi, et al.. (2018). Global Urban Typology Discovery with a Latent Class Choice Model. Transportation Research Board 97th Annual MeetingTransportation Research Board.1 indexed citations
15.
Azevedo, Carlos Lima, Ravi Seshadri, Bilge Atasoy, et al.. (2018). Tripod: Sustainable Travel Incentives with Prediction, Optimization, and Personalization. Transportation Research Board 97th Annual MeetingTransportation Research Board.18 indexed citations
16.
Adnan, Muhammad, Francisco C. Pereira, Carlos Lima Azevedo, et al.. (2016). SimMobility: A Multi-scale Integrated Agent-Based Simulation Platform. ePrints Soton (University of Southampton).83 indexed citations
Ciuffo, Biagio & Carlos Lima Azevedo. (2013). A Multi-Step Approach for the Global Sensitivity Analysis of Complex Traffic Simulation Models: Application to the MITSIM Model. Transportation Research Board 92nd Annual MeetingTransportation Research Board.2 indexed citations
19.
Azevedo, Carlos Lima & João Lourenço Cardoso. (2011). Application of Interactive Highway Safety Design Model for Safety Evaluation of Foreign Road Designs: Case of Portuguese Rural Highway. Transportation Research Board 90th Annual MeetingTransportation Research Board.1 indexed citations
20.
Azevedo, Carlos Lima, et al.. (2001). Os ERP's (Enterprise Resource Planning) como soluções integradas para a indústria da hotelaria e turismo. Sapientia (Algarve University).
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.