Countries citing papers authored by Giuseppe Vizzari
Since
Specialization
Citations
This map shows the geographic impact of Giuseppe Vizzari'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 Giuseppe Vizzari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giuseppe Vizzari more than expected).
Fields of papers citing papers by Giuseppe Vizzari
This network shows the impact of papers produced by Giuseppe Vizzari. 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 Giuseppe Vizzari. The network helps show where Giuseppe Vizzari may publish in the future.
Co-authorship network of co-authors of Giuseppe Vizzari
This figure shows the co-authorship network connecting the top 25 collaborators of Giuseppe Vizzari.
A scholar is included among the top collaborators of Giuseppe Vizzari 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 Giuseppe Vizzari. Giuseppe Vizzari is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Vidali, Andrea, Luca Crociani, Giuseppe Vizzari, & Stefania Bandini. (2019). A Deep Reinforcement Learning Approach to Adaptive Traffic Lights Management.. 42–50.35 indexed citations
3.
Bandini, Stefania, Luca Crociani, Andrea Gorrini, Katsuhiro Nishinari, & Giuseppe Vizzari. (2018). Walkability Assessment for the Elderly Through Simulations: The LONGEVICITY Project.. 2333. 83–91.4 indexed citations
4.
Crociani, Luca, Gregor Lämmel, Giuseppe Vizzari, & Stefania Bandini. (2018). Learning Obervables of a Multi-scale Simulation System of Urban Traffic.. BOA (University of Milano-Bicocca). 2129. 40–48.3 indexed citations
5.
Khan, Sultan Daud, Giuseppe Vizzari, & Stefania Bandini. (2017). A computer vision tool set for innovative elder pedestrians aware crowd management support systems. BOA (University of Milano-Bicocca).3 indexed citations
6.
Khan, Sultan Daud, Giuseppe Vizzari, & Stefania Bandini. (2016). A Computer Vision Tool Set for Innovative Elder Pedestrians Aware Crowd Management Support Systems.. 1803. 75–91.1 indexed citations
7.
Crociani, Luca, Giuseppe Vizzari, & Stefania Bandini. (2016). Conflicting Tendencies in Pedestrian Wayfinding Decisions: a Multi-Agent Model Encompassing Proxemics and Imitation.. BOA (University of Milano-Bicocca).1 indexed citations
Khan, Sultan Daud, Giuseppe Vizzari, Stefania Bandini, & Saleh Basalamah. (2014). Detecting dominant motion flows and people counting in high density crowds. BOA (University of Milano-Bicocca). 22(1). 21–30.18 indexed citations
Manzoni, Sara, et al.. (2011). Makksim: Dealing with pedestrian groups in mas-based crowd simulation. BOA (University of Milano-Bicocca). 166–170.6 indexed citations
14.
Bandini, Stefania, et al.. (2011). A Cellular Automata Model for Pedestrian and Group Dynamics.. 34–40.3 indexed citations
Vizzari, Giuseppe, et al.. (2007). A Framework for Execution and Visualization of Situated Agents Based Virtual Environments.. 22–25.2 indexed citations
17.
Vizzari, Giuseppe, et al.. (2006). A Framework for Ontological Description of Archaeological Scientific Publications.. BOA (University of Milano-Bicocca). 201.6 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.