Paolo Mercorelli

190 papers and 1.7k indexed citations i.

About

Paolo Mercorelli is a scholar working on Control and Systems Engineering, Mechanical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Paolo Mercorelli has authored 190 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 121 papers in Control and Systems Engineering, 62 papers in Mechanical Engineering and 51 papers in Electrical and Electronic Engineering. Recurrent topics in Paolo Mercorelli’s work include Iterative Learning Control Systems (43 papers), Adaptive Control of Nonlinear Systems (33 papers) and Hydraulic and Pneumatic Systems (24 papers). Paolo Mercorelli is often cited by papers focused on Iterative Learning Control Systems (43 papers), Adaptive Control of Nonlinear Systems (33 papers) and Hydraulic and Pneumatic Systems (24 papers). Paolo Mercorelli collaborates with scholars based in Germany, Mexico and China. Paolo Mercorelli's co-authors include Chunhong Zheng, Yuxin Su, Julio C. Rodríguez-Quiñonez, Oleg Sergiyenko, Domenico Prattichizzo, Vera Tyrsa, Daniel Hernández-Balbuena, Moisés Rivas-López, Wendy Flores-Fuentes and Luis C. Básaca-Preciado and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, Sensors and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Paolo Mercorelli i

Fields of papers citing papers by Paolo Mercorelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Paolo Mercorelli

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025