Dino Pedreschi

150 papers and 6.1k indexed citations i.

About

Dino Pedreschi is a scholar working on Artificial Intelligence, Transportation and Statistical and Nonlinear Physics. According to data from OpenAlex, Dino Pedreschi has authored 150 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Artificial Intelligence, 30 papers in Transportation and 26 papers in Statistical and Nonlinear Physics. Recurrent topics in Dino Pedreschi’s work include Human Mobility and Location-Based Analysis (30 papers), Complex Network Analysis Techniques (24 papers) and Logic, Reasoning, and Knowledge (17 papers). Dino Pedreschi is often cited by papers focused on Human Mobility and Location-Based Analysis (30 papers), Complex Network Analysis Techniques (24 papers) and Logic, Reasoning, and Knowledge (17 papers). Dino Pedreschi collaborates with scholars based in Italy, United States and Germany. Dino Pedreschi's co-authors include Fosca Giannotti, Anna Monreale, Salvatore Ruggieri, Franco Turini, Riccardo Guidotti, Mirco Nanni, Salvatore Rinzivillo, Luca Pappalardo, Michele Coscia and Gennady Andrienko and has published in prestigious journals such as Nature Communications, PLoS ONE and Sensors.

In The Last Decade

Co-authorship network of co-authors of Dino Pedreschi i

Fields of papers citing papers by Dino Pedreschi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dino Pedreschi

Since Specialization
Citations

This map shows the geographic impact of Dino Pedreschi'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 Dino Pedreschi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dino Pedreschi 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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2025