William Ogallo

22 papers receiving 162 citations

Peers

William Ogallo
Comparison fields: 5 of 73
  • Geriatrics and Gerontology 29
  • Family Practice 16
  • Health Informatics 4
  • Health Information Management 12
  • Emergency Medical Services 13
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Countries citing papers authored by William Ogallo

Since Specialization
Citations

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

Fields of papers citing papers by William Ogallo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside William Ogallo, 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 William Ogallo Line = papers co-authored together William Ogallo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201638
2 201330
3 201820
4 202016
5
Identifying Factors Associated with Neonatal Mortality in Sub-Saharan Africa using Machine Learning.
202011
6 20229
7 20208
8
Using Natural Language Processing and Network Analysis to Develop a Conceptual Framework for Medication Therapy Management Research.
20168
9 20235
10 20194
11 20193
12
Detection of Anomalous Patterns Associated with the Impact of Medications on 30-Day Hospital Readmission Rates in Diabetes Care.
20213
13 20232
14 20142
15 20152
16 20192
17 20202
18 20221
19 20211
20 20221

About William Ogallo

William Ogallo is a scholar working on Artificial Intelligence, Epidemiology, General Health Professions, Pediatrics, Perinatology and Child Health and Molecular Biology, having authored 27 papers that have together received 174 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (5 papers), Global Maternal and Child Health (4 papers), Pharmaceutical Practices and Patient Outcomes (3 papers), Mobile Health and mHealth Applications (3 papers), Child Nutrition and Water Access (3 papers), Medication Adherence and Compliance (3 papers), Statistical Methods and Inference (2 papers) and Blood Pressure and Hypertension Studies (2 papers). The work is most often cited by research in Geriatrics and Gerontology (29 citations), Family Practice (16 citations), Health Informatics (4 citations), Health Information Management (12 citations) and Emergency Medical Services (13 citations). William Ogallo has collaborated with scholars based in United States, Kenya and United Kingdom. Frequent co-authors include Sonak Pastakia, Ellen Schellhase, Monica L. Miller, Andrew S. Kanter, Skyler Speakman, Simon Manyara, I Manji, Celia Cintas, Sylvia Opanga and Girmaw Abebe Tadesse. Their work appears in journals such as Journal of the American Medical Informatics Association, American Journal of Pharmaceutical Education, Journal of the American Pharmacists Association, Computer and Journal of Medical Internet Research.

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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