Emma Byrne

8 papers and 438 indexed citations i.

About

Emma Byrne is a scholar working on Artificial Intelligence, Molecular Biology and Electrical and Electronic Engineering. According to data from OpenAlex, Emma Byrne has authored 8 papers receiving a total of 438 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Molecular Biology and 1 paper in Electrical and Electronic Engineering. Recurrent topics in Emma Byrne’s work include Semantic Web and Ontologies (4 papers), Metabolic Engineering and Synthetic Biology (3 papers) and Topic Modeling (2 papers). Emma Byrne is often cited by papers focused on Semantic Web and Ontologies (4 papers), Metabolic Engineering and Synthetic Biology (3 papers) and Topic Modeling (2 papers). Emma Byrne collaborates with scholars based in United Kingdom and Malta. Emma Byrne's co-authors include Maria Liakata, Wayne Aubrey, Kenneth E. Whelan, Jem J. Rowland and Amanda Clare and has published in prestigious journals such as Science, Neurocomputing and Data & Knowledge Engineering.

In The Last Decade

Fields of papers citing papers by Emma Byrne

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

Countries citing papers authored by Emma Byrne

Since Specialization
Citations

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

Rankless by CCL
2025