Louis Ehwerhemuepha

1.2k total citations
63 papers, 713 citations indexed

About

Louis Ehwerhemuepha is a scholar working on Emergency Medicine, Pediatrics, Perinatology and Child Health and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Louis Ehwerhemuepha has authored 63 papers receiving a total of 713 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Emergency Medicine, 12 papers in Pediatrics, Perinatology and Child Health and 10 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Louis Ehwerhemuepha's work include Emergency and Acute Care Studies (12 papers), Machine Learning in Healthcare (7 papers) and Adolescent and Pediatric Healthcare (6 papers). Louis Ehwerhemuepha is often cited by papers focused on Emergency and Acute Care Studies (12 papers), Machine Learning in Healthcare (7 papers) and Adolescent and Pediatric Healthcare (6 papers). Louis Ehwerhemuepha collaborates with scholars based in United States, China and Ireland. Louis Ehwerhemuepha's co-authors include William Feaster, Cyril Rakovski, Anthony Chang, Sharief Taraman, Jianwei Zheng, Caroline Steele, Islam Abudayyeh, Huimin Chu, Guohua Fu and Zeev N. Kain and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and PEDIATRICS.

In The Last Decade

Louis Ehwerhemuepha

54 papers receiving 704 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Louis Ehwerhemuepha United States 14 189 108 98 89 87 63 713
Yiye Zhang United States 15 122 0.6× 37 0.3× 183 1.9× 57 0.6× 41 0.5× 67 983
Stefan Bösner Germany 19 338 1.8× 140 1.3× 68 0.7× 45 0.5× 106 1.2× 68 1.2k
Nickolaj Risbo Kristensen Denmark 9 150 0.8× 54 0.5× 64 0.7× 50 0.6× 67 0.8× 14 838
Lucinda Archer United Kingdom 13 170 0.9× 129 1.2× 195 2.0× 30 0.3× 64 0.7× 34 1.2k
Douglas P. Barnaby United States 15 245 1.3× 55 0.5× 48 0.5× 68 0.8× 170 2.0× 27 938
Anne de Hond Netherlands 12 242 1.3× 119 1.1× 181 1.8× 18 0.2× 85 1.0× 30 1.1k
Tra My Pham United Kingdom 10 63 0.3× 52 0.5× 78 0.8× 52 0.6× 36 0.4× 23 952
Rafal Kustra Canada 17 125 0.7× 85 0.8× 42 0.4× 13 0.1× 52 0.6× 33 909
Demilade Adedinsewo United States 14 262 1.4× 46 0.4× 34 0.3× 74 0.8× 27 0.3× 59 710
William Feaster United States 14 122 0.6× 60 0.6× 27 0.3× 108 1.2× 93 1.1× 37 571

Countries citing papers authored by Louis Ehwerhemuepha

Since Specialization
Citations

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

Fields of papers citing papers by Louis Ehwerhemuepha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Louis Ehwerhemuepha

This figure shows the co-authorship network connecting the top 25 collaborators of Louis Ehwerhemuepha. A scholar is included among the top collaborators of Louis Ehwerhemuepha 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 Louis Ehwerhemuepha. Louis Ehwerhemuepha 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.
Ehwerhemuepha, Louis, et al.. (2025). Early Prediction of Mechanical Ventilation Needs in Very Preterm Neonates Using Machine Learning. Pediatric Pulmonology. 60(7). e71195–e71195.
2.
Golden, Charles J., Heather Huszti, Michelle A. Fortier, et al.. (2024). Age, Adverse Childhood Experiences, and Health Care Utilization. PEDIATRICS. 154(5). 1 indexed citations
3.
Nael, Ali, et al.. (2024). Histopathology imaging and clinical data including remission status in pediatric inflammatory bowel disease. Scientific Data. 11(1). 761–761. 1 indexed citations
4.
Goodman, Laura F., et al.. (2024). Congenital anomalies and predisposition to severe COVID-19 among pediatric patients in the United States. Pediatric Research. 96(3). 792–798. 1 indexed citations
5.
Fu, Guohua, Jianwei Zheng, Islam Abudayyeh, et al.. (2024). CardioGPT: An ECG Interpretation Generation Model. IEEE Access. 12. 50254–50264. 5 indexed citations
7.
Kain, Zeev N., et al.. (2024). Neighborhood Socioeconomic Context Predicts Pediatric Asthma Exacerbation. Clinical Pediatrics. 64(3). 310–318.
8.
Ehwerhemuepha, Louis, et al.. (2024). Pediatric Asthma Exacerbations: 14-Day Emergency Department Return Visit Risk Factors. Journal of Emergency Medicine. 67(1). e22–e30.
9.
Khojah, Amer, et al.. (2023). The von Willebrand Factor Antigen Reflects the Juvenile Dermatomyositis Disease Activity Score. Biomedicines. 11(2). 552–552. 10 indexed citations
10.
Sanger, Terence D., et al.. (2023). Chronic Neurological Disorders and Predisposition to Severe COVID-19 in Pediatric Patients in the United States. Pediatric Neurology. 147. 130–138. 1 indexed citations
11.
Ehwerhemuepha, Louis, et al.. (2023). Artificial intelligence for nailfold capillaroscopy analyses – a proof of concept application in juvenile dermatomyositis. Pediatric Research. 95(4). 981–987. 13 indexed citations
12.
Davis-Dao, Carol A., et al.. (2022). Timely orchiopexy by 18 months of age: Are we meeting the standards defined by the 2014 AUA guidelines?. Journal of Pediatric Urology. 18(5). 683.e1–683.e7. 4 indexed citations
13.
Heyming, Theodore, Candice D. Donaldson, Louis Ehwerhemuepha, et al.. (2021). Multivariable Analysis of Patient Satisfaction in the Pediatric Emergency Department. Pediatric Emergency Care. 38(2). e544–e549. 7 indexed citations
14.
Ehwerhemuepha, Louis, et al.. (2021). A super learner ensemble of 14 statistical learning models for predicting COVID-19 severity among patients with cardiovascular conditions. Intelligence-Based Medicine. 5. 100030–100030. 11 indexed citations
15.
Arrieta, Antonio, et al.. (2021). Long-term effects of malnutrition on severity of COVID-19. Scientific Reports. 11(1). 14974–14974. 53 indexed citations
16.
Feaster, William, et al.. (2021). Predictors of pediatric readmissions among patients with neurological conditions. BMC Neurology. 21(1). 5–5. 8 indexed citations
17.
Davis-Dao, Carol A., Louis Ehwerhemuepha, Joshua D. Chamberlin, et al.. (2020). Keys to improving patient satisfaction in the pediatric urology clinic: A starting point. Journal of Pediatric Urology. 16(3). 377–383. 12 indexed citations
18.
Ehwerhemuepha, Louis, Candice D. Donaldson, Zeev N. Kain, et al.. (2020). Race, Ethnicity, and Insurance: the Association with Opioid Use in a Pediatric Hospital Setting. Journal of Racial and Ethnic Health Disparities. 8(5). 1232–1241. 14 indexed citations
19.
Ehwerhemuepha, Louis, et al.. (2018). The Effect of Malnutrition on the Risk of Unplanned 7-Day Readmission in Pediatrics. Hospital Pediatrics. 8(4). 207–213. 25 indexed citations
20.
Ehwerhemuepha, Louis, et al.. (2013). Simulation and Visualization of Chaos in a Driven Nonlinear Pendulum -- An Aid to Introducing Chaotic Systems in Physics. Bulletin of the American Physical Society. 2013. 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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