Agni Orfanoudaki

17 papers and 321 indexed citations i.

About

Agni Orfanoudaki is a scholar working on Artificial Intelligence, Cardiology and Cardiovascular Medicine and Epidemiology. According to data from OpenAlex, Agni Orfanoudaki has authored 17 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 6 papers in Cardiology and Cardiovascular Medicine and 5 papers in Epidemiology. Recurrent topics in Agni Orfanoudaki’s work include Machine Learning in Healthcare (7 papers), Acute Ischemic Stroke Management (4 papers) and COVID-19 Clinical Research Studies (3 papers). Agni Orfanoudaki is often cited by papers focused on Machine Learning in Healthcare (7 papers), Acute Ischemic Stroke Management (4 papers) and COVID-19 Clinical Research Studies (3 papers). Agni Orfanoudaki collaborates with scholars based in United States, United Kingdom and Spain. Agni Orfanoudaki's co-authors include Dimitris Bertsimas, Holly Wiberg, Rory B. Weiner, Colin Pawlowski, Kenneth J. Robinson, Bartolomeo Stellato, Angelo Pan, Carlos Luís Parra-Calderón, Luca Mingardi and Barry Stein and has published in prestigious journals such as PLoS ONE, Stroke and Machine Learning.

In The Last Decade

Co-authorship network of co-authors of Agni Orfanoudaki i

Fields of papers citing papers by Agni Orfanoudaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Agni Orfanoudaki

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025