This map shows the geographic impact of Roberto Mosca'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 Roberto Mosca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Mosca more than expected).
This network shows the impact of papers produced by Roberto Mosca. 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 Roberto Mosca. The network helps show where Roberto Mosca may publish in the future.
Co-authorship network of co-authors of Roberto Mosca
This figure shows the co-authorship network connecting the top 25 collaborators of Roberto Mosca.
A scholar is included among the top collaborators of Roberto Mosca 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 Roberto Mosca. Roberto Mosca is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Cassettari, Lucia, et al.. (2013). The yearly production of a manufacturing plant studied by DES combined with RSM high level designs and neural networks. CINECA IRIS Institutial Research Information System (University of Genoa). 7. 345–354.3 indexed citations
5.
Revetria, Roberto, et al.. (2012). Advanced modeling methodology based on system dynamics in healthcare. 127–132.1 indexed citations
Caballini, Claudia, et al.. (2010). Using logistic redesigner (Lo.R.D.) software for designing and simulating a steel supply chain. CINECA IRIS Institutial Research Information System (University of Genoa). 9(2). 125–135.2 indexed citations
8.
Mosca, Roberto, et al.. (2009). Risk analysis for industrial plants projects: an innovative approach based on simulation techniques with experimental error control. CINECA IRIS Institutial Research Information System (University of Genoa). 0–0.9 indexed citations
9.
Mosca, Roberto, et al.. (2008). Critical Issues in HLA Integration: PIOVRA CGF vs. Wargaming System. CINECA IRIS Institutial Research Information System (University of Genoa). 213–218.4 indexed citations
10.
Mosca, Roberto, Maurizio Schenone, & Roberto Revetria. (2006). Improve supply chain management using neural networks and regresive KPI relationship metamodels. PORTO Publications Open Repository TOrino (Politecnico di Torino).3 indexed citations
Mosca, Roberto, et al.. (2004). Integrating Wireless Technologies And Data Warehousing For Distributed Imaging Based Support In An Orthodontic Practice. IEEE Transactions on Biomedical Engineering. 0–0.1 indexed citations
13.
Mosca, Roberto, et al.. (2002). Web Integrated Logistic Designer and Intelligent Control for Supply Chain Management. CINECA IRIS Institutial Research Information System (University of Genoa). 0–0.4 indexed citations
14.
Mosca, Roberto, et al.. (2002). MULTI-OBJECTIVE OPTIMISATION OF FOOD REFLUENT TREATMENT PLANT DESIGN PARAMETERS THROUGH DESIGNED SIMULATION WITH SIGNIFICANT EXPERIMENTAL ERROR. Annual Simulation Symposium. 0–0.1 indexed citations
Mosca, Roberto, et al.. (2001). Web Intgrated Logistics Designer: A HLA Federation Devoted to Supply Chain Management. CINECA IRIS Institutial Research Information System (University of Genoa).4 indexed citations
Mosca, Roberto, et al.. (1999). Object oriented simulation tool for capacity planning and planning production at assembly firm. PORTO Publications Open Repository TOrino (Politecnico di Torino).1 indexed citations
19.
Mosca, Roberto & Maurizio Schenone. (1995). Urban traffic: new design proposals through the employ of micro-simulators. PORTO Publications Open Repository TOrino (Politecnico di Torino). 181–185.
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.