Michael Giudici

175 papers and 3.1k indexed citations i.

About

Michael Giudici is a scholar working on Discrete Mathematics and Combinatorics, Cardiology and Cardiovascular Medicine and Artificial Intelligence. According to data from OpenAlex, Michael Giudici has authored 175 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Discrete Mathematics and Combinatorics, 76 papers in Cardiology and Cardiovascular Medicine and 59 papers in Artificial Intelligence. Recurrent topics in Michael Giudici’s work include Finite Group Theory Research (77 papers), Coding theory and cryptography (59 papers) and graph theory and CDMA systems (51 papers). Michael Giudici is often cited by papers focused on Finite Group Theory Research (77 papers), Coding theory and cryptography (59 papers) and graph theory and CDMA systems (51 papers). Michael Giudici collaborates with scholars based in United States, Australia and United Kingdom. Michael Giudici's co-authors include Cheryl E. Praeger, Cai Heng Li, John D. Hummel, Steven J. Bailin, Stuart W. Adler, Imran Khan Niazi, Leslie A. Saxon, John Boehmer, Seth J. Worley and Steven L. Higgins and has published in prestigious journals such as Journal of the American College of Cardiology, Scientific Reports and The American Journal of Cardiology.

In The Last Decade

Co-authorship network of co-authors of Michael Giudici i

Fields of papers citing papers by Michael Giudici

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Michael Giudici

Since Specialization
Citations

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