Linda Davis

30 papers and 564 indexed citations i.

About

Linda Davis is a scholar working on Statistics and Probability, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Linda Davis has authored 30 papers receiving a total of 564 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Statistics and Probability, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Artificial Intelligence. Recurrent topics in Linda Davis’s work include Handwritten Text Recognition Techniques (5 papers), Advanced Statistical Methods and Models (3 papers) and Digital Media Forensic Detection (3 papers). Linda Davis is often cited by papers focused on Handwritten Text Recognition Techniques (5 papers), Advanced Statistical Methods and Models (3 papers) and Digital Media Forensic Detection (3 papers). Linda Davis collaborates with scholars based in United States, Canada and United Kingdom. Linda Davis's co-authors include Christopher P. Saunders, JoAnn Buscaglia, Anita Rampling, Amanda B. Hepler, Zane L. Berge, David L. Wood, Kevin Katz, Andrea Currie, Diane White and J. J. Miller and has published in prestigious journals such as Biometrics, Journal of Clinical Microbiology and Social Science & Medicine.

In The Last Decade

Co-authorship network of co-authors of Linda Davis i

Fields of papers citing papers by Linda Davis

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

Countries citing papers authored by Linda Davis

Since Specialization
Citations

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

Rankless by CCL
2025