Omolola Ogunyemi

1.4k total citations
42 papers, 974 citations indexed

About

Omolola Ogunyemi is a scholar working on Public Health, Environmental and Occupational Health, Health Information Management and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Omolola Ogunyemi has authored 42 papers receiving a total of 974 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Public Health, Environmental and Occupational Health, 13 papers in Health Information Management and 12 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Omolola Ogunyemi's work include Clinical practice guidelines implementation (10 papers), Biomedical Text Mining and Ontologies (10 papers) and Electronic Health Records Systems (9 papers). Omolola Ogunyemi is often cited by papers focused on Clinical practice guidelines implementation (10 papers), Biomedical Text Mining and Ontologies (10 papers) and Electronic Health Records Systems (9 papers). Omolola Ogunyemi collaborates with scholars based in United States, Sweden and Israel. Omolola Ogunyemi's co-authors include Aziz A. Boxwala, Robert A. Greenes, Qing Zeng, Mor Peleg, Edward H. Shortliffe, Samson W. Tu, Vimla L. Patel, Dongwen Wang, Margarita Sordo and Lucila Ohno‐Machado and has published in prestigious journals such as Medical Care, International Journal of Environmental Research and Public Health and Journal of the American Medical Informatics Association.

In The Last Decade

Omolola Ogunyemi

41 papers receiving 913 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Omolola Ogunyemi United States 16 480 457 360 292 128 42 974
Arianna Dagliati Italy 17 308 0.6× 236 0.5× 66 0.2× 310 1.1× 96 0.8× 49 995
Aziz A. Boxwala United States 24 830 1.7× 852 1.9× 638 1.8× 584 2.0× 90 0.7× 95 1.9k
Seok Kim South Korea 17 186 0.4× 167 0.4× 95 0.3× 159 0.5× 60 0.5× 66 1.1k
Valentina Tibollo Italy 16 261 0.5× 167 0.4× 57 0.2× 242 0.8× 79 0.6× 39 879
John Mattison United States 12 316 0.7× 243 0.5× 117 0.3× 219 0.8× 29 0.2× 21 749
György Simon United States 19 321 0.7× 304 0.7× 145 0.4× 446 1.5× 83 0.6× 98 1.5k
Martin Sedlmayr Germany 16 200 0.4× 154 0.3× 124 0.3× 182 0.6× 55 0.4× 111 984
Meredith Zozus United States 14 407 0.8× 170 0.4× 235 0.7× 234 0.8× 59 0.5× 66 1.1k
Michelle R. Hribar United States 17 380 0.8× 44 0.1× 207 0.6× 107 0.4× 125 1.0× 70 954
H C Chueh United States 10 338 0.7× 307 0.7× 194 0.5× 282 1.0× 32 0.3× 25 1.2k

Countries citing papers authored by Omolola Ogunyemi

Since Specialization
Citations

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

Fields of papers citing papers by Omolola Ogunyemi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Omolola Ogunyemi

This figure shows the co-authorship network connecting the top 25 collaborators of Omolola Ogunyemi. A scholar is included among the top collaborators of Omolola Ogunyemi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Omolola Ogunyemi. Omolola Ogunyemi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zheng, Jianwei, Chizobam Ani, Islam Abudayyeh, et al.. (2025). A Review of Racial Differences and Disparities in ECG. International Journal of Environmental Research and Public Health. 22(3). 337–337.
2.
Luo, Yuan, et al.. (2025). Leveraging large language models for academic conference organization. npj Digital Medicine. 8(1). 101–101. 1 indexed citations
3.
Ogunyemi, Omolola, et al.. (2022). DRRisk: A Web-based tool to Assess the Risk of Diabetic Retinopathy through Machine Learning on Electronic Health Records.. PubMed. 2022. 452–460. 2 indexed citations
4.
Ogunyemi, Omolola, et al.. (2021). Detecting diabetic retinopathy through machine learning on electronic health record data from an urban, safety net healthcare system. JAMIA Open. 4(3). ooab066–ooab066. 15 indexed citations
5.
Ogunyemi, Omolola, et al.. (2019). Predictive Models for Diabetic Retinopathy from Non-Image Teleretinal Screening Data.. PubMed. 2019. 472–477. 16 indexed citations
6.
Ogunyemi, Omolola & Dulcie Kermah. (2015). Machine Learning Approaches for Detecting Diabetic Retinopathy from Clinical and Public Health Records.. PubMed. 2015. 983–90. 31 indexed citations
7.
Ogunyemi, Omolola, et al.. (2013). Identifying Appropriate Reference Data Models for Comparative Effectiveness Research (CER) Studies Based on Data from Clinical Information Systems. Medical Care. 51(Supplement 8Suppl 3). S45–S52. 32 indexed citations
8.
Ogunyemi, Omolola, et al.. (2011). Teleretinal screening for diabetic retinopathy in six Los Angeles urban safety-net clinics: initial findings.. PubMed. 2011. 1027–35. 17 indexed citations
9.
Martins, David, Chizobam Ani, Deyu Pan, Omolola Ogunyemi, & Keith C. Norris. (2010). Renal Dysfunction, Metabolic Syndrome and Cardiovascular Disease Mortality. Journal of Nutrition and Metabolism. 2010. 1–8. 26 indexed citations
10.
Ahmed, Bilal, et al.. (2008). A comparison of methods for assessing penetrating trauma on retrospective multi-center data. Journal of Biomedical Informatics. 42(2). 308–316. 7 indexed citations
11.
Ogunyemi, Omolola. (2005). Methods for reasoning from geometry about anatomic structures injured by penetrating trauma. Journal of Biomedical Informatics. 39(4). 389–400. 6 indexed citations
12.
Wang, Dongwen, Mor Peleg, Samson W. Tu, et al.. (2004). Design and implementation of the GLIF3 guideline execution engine. Journal of Biomedical Informatics. 37(5). 305–318. 85 indexed citations
13.
Boxwala, Aziz A., Mor Peleg, Samson W. Tu, et al.. (2004). GLIF3: a representation format for sharable computer-interpretable clinical practice guidelines. Journal of Biomedical Informatics. 37(3). 147–161. 168 indexed citations
14.
Peleg, Mor, Aziz A. Boxwala, Samson W. Tu, et al.. (2003). The InterMed Approach to Sharable Computer-interpretable Guidelines: A Review. Journal of the American Medical Informatics Association. 11(1). 1–10. 43 indexed citations
15.
Ogunyemi, Omolola. (2002). Combining Geometric and Probabilistic Reasoning for Computer-based Penetrating-Trauma Assessment. Journal of the American Medical Informatics Association. 9(3). 273–282. 13 indexed citations
16.
Boxwala, Aziz A., Samson W. Tu, Mor Peleg, et al.. (2001). Toward a Representation Format for Sharable Clinical Guidelines. Journal of Biomedical Informatics. 34(3). 157–169. 37 indexed citations
17.
Peleg, Mor, Aziz A. Boxwala, Omolola Ogunyemi, et al.. (2000). GLIF3: the evolution of a guideline representation format.. PubMed. 645–9. 186 indexed citations
18.
Ogunyemi, Omolola, et al.. (2000). TraumaSCAN: assessing penetrating trauma with geometric and probabilistic reasoning.. PubMed. 620–4. 4 indexed citations
19.
Ogunyemi, Omolola & Bonnie Webber. (1999). Traumascan: assessing penetrating injury with abductive and geometric reasoning. Scholarly Commons (University of Pennsylvania). 14–14. 3 indexed citations
20.
Ogunyemi, Omolola. (1997). Assessing the Involvement of Anatomical Structures in Penetrating Trauma Probabilistically. ScholarlyCommons (University of Pennsylvania). 2 indexed citations

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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