Mary Campione

11 total papers · 456 total citations
8 papers, 107 citations indexed

About

Mary Campione is a scholar working on Artificial Intelligence, Infectious Diseases and Organic Chemistry. According to data from OpenAlex, Mary Campione has authored 8 papers receiving a total of 107 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Artificial Intelligence, 0 papers in Infectious Diseases and 0 papers in Organic Chemistry. Recurrent topics in Mary Campione’s work include Computational Physics and Python Applications (1 paper). Mary Campione is often cited by papers focused on Computational Physics and Python Applications (1 paper). Mary Campione collaborates with scholars based in and . Mary Campione's co-authors include and and has published in prestigious journals such as CERN Document Server (European Organization for Nuclear Research), Addison-Wesley Longman Publishing Co., Inc. eBooks and Medical Entomology and Zoology.
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Mary Campione

8 papers receiving 93 citations

Fields of papers citing papers by Mary Campione

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mary Campione

Since Specialization
Citations

This map shows the geographic impact of Mary Campione'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 Campione with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mary Campione 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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2026