Jacqueline M. Hughes‐Oliver

36 papers and 415 indexed citations i.

About

Jacqueline M. Hughes‐Oliver is a scholar working on Statistics and Probability, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Jacqueline M. Hughes‐Oliver has authored 36 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Statistics and Probability, 7 papers in Computational Theory and Mathematics and 6 papers in Artificial Intelligence. Recurrent topics in Jacqueline M. Hughes‐Oliver’s work include Statistical Methods in Clinical Trials (7 papers), Computational Drug Discovery Methods (7 papers) and Optimal Experimental Design Methods (5 papers). Jacqueline M. Hughes‐Oliver is often cited by papers focused on Statistical Methods in Clinical Trials (7 papers), Computational Drug Discovery Methods (7 papers) and Optimal Experimental Design Methods (5 papers). Jacqueline M. Hughes‐Oliver collaborates with scholars based in United States, Canada and Mexico. Jacqueline M. Hughes‐Oliver's co-authors include S. Stanley Young, Dennis D. Boos, Jye‐Chyi Lu, Raymond T. Ng and Ronald E. Baynes and has published in prestigious journals such as Journal of the American Statistical Association, Bioinformatics and Technometrics.

In The Last Decade

Fields of papers citing papers by Jacqueline M. Hughes‐Oliver

Since Specialization
EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by Jacqueline M. Hughes‐Oliver. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Jacqueline M. Hughes‐Oliver may publish in the future.

Countries citing papers authored by Jacqueline M. Hughes‐Oliver

Since Specialization
Citations

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

Rankless by CCL
2025