Marjorie Freedman

65 papers and 1.7k indexed citations i.

About

Marjorie Freedman is a scholar working on Public Health, Environmental and Occupational Health, Artificial Intelligence and General Health Professions. According to data from OpenAlex, Marjorie Freedman has authored 65 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Public Health, Environmental and Occupational Health, 16 papers in Artificial Intelligence and 11 papers in General Health Professions. Recurrent topics in Marjorie Freedman’s work include Obesity, Physical Activity, Diet (21 papers), Topic Modeling (15 papers) and Natural Language Processing Techniques (12 papers). Marjorie Freedman is often cited by papers focused on Obesity, Physical Activity, Diet (21 papers), Topic Modeling (15 papers) and Natural Language Processing Techniques (12 papers). Marjorie Freedman collaborates with scholars based in United States, Australia and Canada. Marjorie Freedman's co-authors include Janet C. King, Eileen Kennedy, Judith S. Stern, Barbara A. Horwitz, Joseph T. Spence, Debra R. Keast, Victor L. Fulgoni, Steve L. Taylor, Benjamin T. Wall and Francis B. Stephens and has published in prestigious journals such as American Journal of Clinical Nutrition, AJP Regulatory Integrative and Comparative Physiology and Obesity.

In The Last Decade

Co-authorship network of co-authors of Marjorie Freedman i

Fields of papers citing papers by Marjorie Freedman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Marjorie Freedman

Since Specialization
Citations

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