Marco Lanzagorta

About

Marco Lanzagorta is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Marco Lanzagorta has authored 60 papers receiving a total of 611 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Artificial Intelligence, 32 papers in Atomic and Molecular Physics, and Optics and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Marco Lanzagorta’s work include Quantum Information and Cryptography (34 papers), Quantum Computing Algorithms and Architecture (28 papers) and Quantum Mechanics and Applications (16 papers). Marco Lanzagorta is often cited by papers focused on Quantum Information and Cryptography (34 papers), Quantum Computing Algorithms and Architecture (28 papers) and Quantum Mechanics and Applications (16 papers). Marco Lanzagorta collaborates with scholars based in United States, Mexico and United Kingdom. Marco Lanzagorta's co-authors include G.G. Ross, Ram M. Narayanan, Jeffrey Uhlmann, Salvador E. Venegas-Andraca, D. M. Ghilencea, Simon Julier, Yohan Baillot, Catherine C. McGeoch, D. Brown and Jacob Biamonte and has published in prestigious journals such as Nuclear Physics B, Physics Letters B and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Marco Lanzagorta i

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Fields of papers citing papers by Marco Lanzagorta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Marco Lanzagorta

Since Specialization

Citations

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