Linda M. Haines

57 papers and 1.1k indexed citations i.

About

Linda M. Haines is a scholar working on Management Science and Operations Research, Statistics and Probability and Computational Theory and Mathematics. According to data from OpenAlex, Linda M. Haines has authored 57 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Management Science and Operations Research, 22 papers in Statistics and Probability and 20 papers in Computational Theory and Mathematics. Recurrent topics in Linda M. Haines’s work include Optimal Experimental Design Methods (29 papers), Advanced Multi-Objective Optimization Algorithms (20 papers) and Statistical Methods in Clinical Trials (14 papers). Linda M. Haines is often cited by papers focused on Optimal Experimental Design Methods (29 papers), Advanced Multi-Objective Optimization Algorithms (20 papers) and Statistical Methods in Clinical Trials (14 papers). Linda M. Haines collaborates with scholars based in South Africa, United States and Germany. Linda M. Haines's co-authors include William F. Rosenberger, Eric Singleton, Holger Dette, Inna Perevozskaya and Christien Thiart and has published in prestigious journals such as Technometrics, Journal of Computational Physics and Biometrics.

In The Last Decade

Fields of papers citing papers by Linda M. Haines

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 Linda M. Haines. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Linda M. Haines may publish in the future.

Countries citing papers authored by Linda M. Haines

Since Specialization
Citations

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

Rankless by CCL
2025