Mary Lanzerotti

41 papers and 250 indexed citations i.

About

Mary Lanzerotti is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Artificial Intelligence. According to data from OpenAlex, Mary Lanzerotti has authored 41 papers receiving a total of 250 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Electrical and Electronic Engineering, 13 papers in Atomic and Molecular Physics, and Optics and 8 papers in Artificial Intelligence. Recurrent topics in Mary Lanzerotti’s work include Low-power high-performance VLSI design (6 papers), VLSI and FPGA Design Techniques (6 papers) and Quantum optics and atomic interactions (6 papers). Mary Lanzerotti is often cited by papers focused on Low-power high-performance VLSI design (6 papers), VLSI and FPGA Design Techniques (6 papers) and Quantum optics and atomic interactions (6 papers). Mary Lanzerotti collaborates with scholars based in United States, India and Italy. Mary Lanzerotti's co-authors include J. M. Gibson, Veit Elser, R. Rand, Alexander L. Gaeta, J. Sharma, G. S. Agarwal, Robert W. Boyd, Emmanuel Yashchin, Richard K. Martin and Michael Baron and has published in prestigious journals such as Nature, Physical Review Letters and Applied Physics Letters.

In The Last Decade

Co-authorship network of co-authors of Mary Lanzerotti i

Fields of papers citing papers by Mary Lanzerotti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mary Lanzerotti

Since Specialization
Citations

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