David Oniani

14 papers receiving 279 citations

David Oniani's Hit Papers

A Scoping Review of Artificial Intelligence for Precision Nutrition 2025 · 29 citations
290+1Years since publication255075

Peers

David Oniani
Comparison fields: 5 of 78
  • Health Informatics 75
  • Health Information Management 16
  • Artificial Intelligence 96
  • Safety Research 23
  • Medical Laboratory Technology 3
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Shubo Tian United States
Andrea Beretta Italy
Mirac Süzgün United States
Harry Hallock Norway
Simona Tiribelli Italy
Madhumita Sushil United States
Syed Latifi Canada
Suraj Rajendran United States
Beverley Townsend South Africa
Heliodoro Tejeda United States
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Shubo Tian · 1×
Citations per year

Countries citing papers authored by David Oniani

Since Specialization
Citations

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

Fields of papers citing papers by David Oniani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David Oniani, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David Oniani Line = papers co-authored together David Oniani links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1
Foundation metrics for evaluating effectiveness of healthcare conversations powered by generative AI
Hit paper breakdown →
202494
2 202379
3
A Scoping Review of Artificial Intelligence for Precision Nutrition
Hit paper breakdown →
202529
4 202417
5 202016
6 202412
7 202312
8 202410
9 20245
10 20244
11 20243
12 20233
13 20243
14 20232

About David Oniani

David Oniani is a scholar working on Health Informatics, Artificial Intelligence, Molecular Biology, Health Information Management and Public Health, Environmental and Occupational Health, having authored 14 papers that have together received 289 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (5 papers), Machine Learning in Healthcare (4 papers), Biomedical Text Mining and Ontologies (3 papers), Artificial Intelligence in Healthcare (2 papers), Topic Modeling (2 papers), Nutrition, Genetics, and Disease (1 paper), Food Security and Health in Diverse Populations (1 paper) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Health Informatics (75 citations), Health Information Management (16 citations), Artificial Intelligence (96 citations), Safety Research (23 citations) and Medical Laboratory Technology (3 citations). David Oniani has collaborated with scholars based in United States, Canada and Poland. Frequent co-authors include Yanshan Wang, Ronald K. Poropatich, Yifan Peng, Jeremy Pamplin, Gary L. Legault, Ramesh Jain, Li-Jia Li, Sonish Sivarajkumar, Iman Azimi and Mahyar Abbasian. Their work appears in journals such as Journal of the American Medical Informatics Association, npj Digital Medicine, International Journal of Medical Informatics, Yearbook of Medical Informatics and Scientific Reports.

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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