Lalo Magni

157 papers and 5.9k indexed citations i.

About

Lalo Magni is a scholar working on Control and Systems Engineering, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Lalo Magni has authored 157 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Control and Systems Engineering, 53 papers in Endocrinology, Diabetes and Metabolism and 45 papers in Surgery. Recurrent topics in Lalo Magni’s work include Advanced Control Systems Optimization (82 papers), Fault Detection and Control Systems (56 papers) and Diabetes Management and Research (53 papers). Lalo Magni is often cited by papers focused on Advanced Control Systems Optimization (82 papers), Fault Detection and Control Systems (56 papers) and Diabetes Management and Research (53 papers). Lalo Magni collaborates with scholars based in Italy, United States and Germany. Lalo Magni's co-authors include Riccardo Scattolini, Giuseppe De Nicolao, Davide M. Raimondo, Claudio Cobelli, Frank Allgöwer, Chiara Dalla Man, Boris Kovatchev, Chiara Toffanin, Antonella Ferrara and Gian Paolo Incremona and has published in prestigious journals such as Diabetes Care, Diabetes and Journal of The Electrochemical Society.

In The Last Decade

Co-authorship network of co-authors of Lalo Magni i

Fields of papers citing papers by Lalo Magni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lalo Magni

Since Specialization
Citations

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