Riccardo Rasconi

About

Riccardo Rasconi is a scholar working on Industrial and Manufacturing Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Riccardo Rasconi has authored 22 papers receiving a total of 200 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Industrial and Manufacturing Engineering, 12 papers in Computer Networks and Communications and 10 papers in Artificial Intelligence. Recurrent topics in Riccardo Rasconi’s work include Scheduling and Optimization Algorithms (13 papers), Distributed Constraint Optimization Problems and Algorithms (9 papers) and Assembly Line Balancing Optimization (4 papers). Riccardo Rasconi is often cited by papers focused on Scheduling and Optimization Algorithms (13 papers), Distributed Constraint Optimization Problems and Algorithms (9 papers) and Assembly Line Balancing Optimization (4 papers). Riccardo Rasconi collaborates with scholars based in Italy, United States and Spain. Riccardo Rasconi's co-authors include Angelo Oddi, Amedeo Cesta, Miguel A. González, Gabriella Cortellessa, Federico Pecora, Stephen F. Smith, Ramiro Varela, Nicola Policella, Massimiliano Scopelliti and Lorenza Tiberio and has published in prestigious journals such as Applied Soft Computing, CIRP Annals and Computers & Operations Research.

In The Last Decade

Co-authorship network of co-authors of Riccardo Rasconi i

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Fields of papers citing papers by Riccardo Rasconi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Riccardo Rasconi

Since Specialization

Citations

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

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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