Lisa Ferro

23 papers and 134 indexed citations i.

About

Lisa Ferro is a scholar working on Artificial Intelligence, Astronomy and Astrophysics and Nuclear and High Energy Physics. According to data from OpenAlex, Lisa Ferro has authored 23 papers receiving a total of 134 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 10 papers in Astronomy and Astrophysics and 5 papers in Nuclear and High Energy Physics. Recurrent topics in Lisa Ferro’s work include Gamma-ray bursts and supernovae (10 papers), Topic Modeling (9 papers) and Natural Language Processing Techniques (7 papers). Lisa Ferro is often cited by papers focused on Gamma-ray bursts and supernovae (10 papers), Topic Modeling (9 papers) and Natural Language Processing Techniques (7 papers). Lisa Ferro collaborates with scholars based in Italy, United States and Russia. Lisa Ferro's co-authors include John D. Burger, Marc Light, Inderjeet Mani, Craig Pfeifer, David House, L. Karl Branting, Mark S. Pfaff, John Aberdeen, Eric Breck and Lynette Hirschman and has published in prestigious journals such as The Astrophysical Journal, Astronomy and Astrophysics and Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment.

In The Last Decade

Co-authorship network of co-authors of Lisa Ferro i

Fields of papers citing papers by Lisa Ferro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lisa Ferro

Since Specialization
Citations

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