Melissa Jay

About

Melissa Jay is a scholar working on Epidemiology, Artificial Intelligence and Surgery. According to data from OpenAlex, Melissa Jay has authored 11 papers receiving a total of 831 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Epidemiology, 6 papers in Artificial Intelligence and 4 papers in Surgery. Recurrent topics in Melissa Jay’s work include Sepsis Diagnosis and Treatment (7 papers), Machine Learning in Healthcare (6 papers) and Hemodynamic Monitoring and Therapy (3 papers). Melissa Jay is often cited by papers focused on Sepsis Diagnosis and Treatment (7 papers), Machine Learning in Healthcare (6 papers) and Hemodynamic Monitoring and Therapy (3 papers). Melissa Jay collaborates with scholars based in United States and United Kingdom. Melissa Jay's co-authors include Jacob Calvert, Ritankar Das, Jana Hoffman, Uli K. Chettipally, Yaniv Kerem, Mitchell D. Feldman, David Shimabukuro, Lisa Shieh, Thomas Desautels and Qingqing Mao and has published in prestigious journals such as Statistics in Medicine, BMJ Open and Computers in Biology and Medicine.

In The Last Decade

Co-authorship network of co-authors of Melissa Jay i

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Fields of papers citing papers by Melissa Jay

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Melissa Jay

Since Specialization

Citations

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