G. Lotti

51 papers and 350 indexed citations i.

About

G. Lotti is a scholar working on Computational Theory and Mathematics, Numerical Analysis and Applied Mathematics. According to data from OpenAlex, G. Lotti has authored 51 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Computational Theory and Mathematics, 13 papers in Numerical Analysis and 11 papers in Applied Mathematics. Recurrent topics in G. Lotti’s work include Matrix Theory and Algorithms (23 papers), Numerical Methods and Algorithms (9 papers) and Electromagnetic Scattering and Analysis (7 papers). G. Lotti is often cited by papers focused on Matrix Theory and Algorithms (23 papers), Numerical Methods and Algorithms (9 papers) and Electromagnetic Scattering and Analysis (7 papers). G. Lotti collaborates with scholars based in Italy, United States and Hungary. G. Lotti's co-authors include Francesco Romani, Dario A. Bini, Paola Favati, Milvio Capovani, Luciano Margara, Bruno Codenotti, Luca Gemignani, P. Rózsa, Gianfranco Soldatini and Marián Vajteršic and has published in prestigious journals such as IEEE Transactions on Automatic Control, Computers & Mathematics with Applications and SIAM Journal on Computing.

In The Last Decade

Co-authorship network of co-authors of G. Lotti i

Fields of papers citing papers by G. Lotti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by G. Lotti

Since Specialization
Citations

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