This map shows the geographic impact of Renato Fileto'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 Renato Fileto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Renato Fileto more than expected).
This network shows the impact of papers produced by Renato Fileto. 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 Renato Fileto. The network helps show where Renato Fileto may publish in the future.
Co-authorship network of co-authors of Renato Fileto
This figure shows the co-authorship network connecting the top 25 collaborators of Renato Fileto.
A scholar is included among the top collaborators of Renato Fileto 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 Renato Fileto. Renato Fileto is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Fileto, Renato, et al.. (2017). Individual and Group Activity Recognition in Moving Object Trajectories.. Cadernos de Linguística e Teoria da Literatura (Universidade Federal de Minas Gerais). 8(1). 50–66.7 indexed citations
6.
Fileto, Renato, et al.. (2016). Towards activity recognition in moving object trajectories from Twitter data.. Biblioteca Digital da Memória Científica do INPE (National Institute for Space Research). 68–79.8 indexed citations
7.
Fileto, Renato, et al.. (2015). A Method to Detect and Classify Inconsistencies of Moving Objects’ Stops with Requested and Reported Tasks. Cadernos de Linguística e Teoria da Literatura (Universidade Federal de Minas Gerais). 6(1). 71–80.4 indexed citations
8.
Pineda, Andrés Felipe Valderrama, et al.. (2014). SMoT+: Extending the SMoT Algorithm for Discovering Stops in Nested Sites. Computing and Informatics / Computers and Artificial Intelligence. 33(2). 327–342.7 indexed citations
9.
Fileto, Renato, et al.. (2014). Analysis of Spatiotemporal Inconsistencies of Trajectories with Planned and Reported Tasks.. 1–12.2 indexed citations
10.
Fileto, Renato, et al.. (2014). Annotating Trajectories by Fusing them with Social Media Users Posts.. Biblioteca Digital da Memória Científica do INPE (National Institute for Space Research). 25–36.7 indexed citations
11.
Fileto, Renato, et al.. (2012). M-Attract: Assessing the Attractiveness of Places by using Moving Objects Trajectories Data. Biblioteca Digital da Memória Científica do INPE (National Institute for Space Research). 84–95.2 indexed citations
12.
Mello, Ronaldo dos Santos, et al.. (2011). Research on Complex Data Management and Analysis at UFSC. Journal of Information and Data Management. 2(2). 155–170.1 indexed citations
13.
Fileto, Renato, et al.. (2010). Interacting With Spatial Data Warehouses Through Semantic Descriptions.. Biblioteca Digital da Memória Científica do INPE (National Institute for Space Research). 122–133.3 indexed citations
14.
Fileto, Renato, et al.. (2010). Towards Intelligent Analysis of Commplex Networks in Spatial Data Warehouses.. 134–145.2 indexed citations
15.
Fileto, Renato, et al.. (2010). Interfaces Web baseadas em Conhecimento para Anotação de Recursos de Informação e Gerenciamento de Repositórios. Brazilian Symposium on Computers in Education (Simpósio Brasileiro de Informática na Educação - SBIE). 1(1).
Fileto, Renato, et al.. (2003). Aplicando Ontologias de Objetos Geográficos para Facilitar Navegação em GIS.. Biblioteca Digital da Memória Científica do INPE (National Institute for Space Research).
19.
Fileto, Renato, Cláudia Bauzer Medeiros, Ling Liu, Calton Pu, & Eduardo Delgado Assad. (2003). Using Domain Ontologies to Help Track Data Provenance.. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 41(6). 84–98.6 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.