Mary Beth Kery

3 papers and 136 indexed citations i.

About

Mary Beth Kery is a scholar working on Molecular Biology, Artificial Intelligence and Genetics. According to data from OpenAlex, Mary Beth Kery has authored 3 papers receiving a total of 136 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Molecular Biology, 1 paper in Artificial Intelligence and 1 paper in Genetics. Recurrent topics in Mary Beth Kery’s work include Genomics and Phylogenetic Studies (1 paper), Machine Learning and Data Classification (1 paper) and Adaptation to Concept Drift in Data Streams (1 paper). Mary Beth Kery is often cited by papers focused on Genomics and Phylogenetic Studies (1 paper), Machine Learning and Data Classification (1 paper) and Adaptation to Concept Drift in Data Streams (1 paper). Mary Beth Kery collaborates with scholars based in United States. Mary Beth Kery's co-authors include Fred Hohman, Jonathan Livny, Brian Tjaden, Mónica Feldman and Donghao Ren and has published in prestigious journals such as Nucleic Acids Research.

In The Last Decade

Fields of papers citing papers by Mary Beth Kery

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

Countries citing papers authored by Mary Beth Kery

Since Specialization
Citations

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

Rankless by CCL
2025