Claudia Landi

43 papers and 626 indexed citations i.

About

Claudia Landi is a scholar working on Computational Theory and Mathematics, Computer Vision and Pattern Recognition and Mathematical Physics. According to data from OpenAlex, Claudia Landi has authored 43 papers receiving a total of 626 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computational Theory and Mathematics, 20 papers in Computer Vision and Pattern Recognition and 13 papers in Mathematical Physics. Recurrent topics in Claudia Landi’s work include Topological and Geometric Data Analysis (28 papers), Homotopy and Cohomology in Algebraic Topology (13 papers) and Digital Image Processing Techniques (11 papers). Claudia Landi is often cited by papers focused on Topological and Geometric Data Analysis (28 papers), Homotopy and Cohomology in Algebraic Topology (13 papers) and Digital Image Processing Techniques (11 papers). Claudia Landi collaborates with scholars based in Italy, United States and Canada. Claudia Landi's co-authors include Patrizio Frosini, Barbara Di Fabio, Andrea Cerri, Silvia Biasotti, Daniela Giorgi, Michele D’Amico, Bianca Falcidieno, Michela Spagnuolo, Leila De Floriani and Laura Papaleo and has published in prestigious journals such as ACM Computing Surveys, Transactions of the American Mathematical Society and Computers & Mathematics with Applications.

In The Last Decade

Co-authorship network of co-authors of Claudia Landi i

Fields of papers citing papers by Claudia Landi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Claudia Landi

Since Specialization
Citations

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