Denis Newman-Griffis

26 papers and 217 indexed citations i.

About

Denis Newman-Griffis is a scholar working on Artificial Intelligence, Molecular Biology and Epidemiology. According to data from OpenAlex, Denis Newman-Griffis has authored 26 papers receiving a total of 217 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 12 papers in Molecular Biology and 5 papers in Epidemiology. Recurrent topics in Denis Newman-Griffis’s work include Topic Modeling (18 papers), Natural Language Processing Techniques (12 papers) and Biomedical Text Mining and Ontologies (12 papers). Denis Newman-Griffis is often cited by papers focused on Topic Modeling (18 papers), Natural Language Processing Techniques (12 papers) and Biomedical Text Mining and Ontologies (12 papers). Denis Newman-Griffis collaborates with scholars based in United States, United Kingdom and Switzerland. Denis Newman-Griffis's co-authors include Eric Fosler‐Lussier, Albert M. Lai, Ayah Zirikly, Carolyn Penstein Rosé, Harry Hochheiser, Shikhar Vashishth, Leighton Chan, Pei‐Shu Ho, Rishabh Joshi and Ritam Dutt and has published in prestigious journals such as BMC Public Health, Journal of the American Medical Informatics Association and Disability and Rehabilitation.

In The Last Decade

Co-authorship network of co-authors of Denis Newman-Griffis i

Fields of papers citing papers by Denis Newman-Griffis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Denis Newman-Griffis. 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 Denis Newman-Griffis. The network helps show where Denis Newman-Griffis may publish in the future.

Countries citing papers authored by Denis Newman-Griffis

Since Specialization
Citations

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