Lisa Ehrlinger

7 papers and 123 indexed citations i.

About

Lisa Ehrlinger is a scholar working on Artificial Intelligence, Management Science and Operations Research and Information Systems. According to data from OpenAlex, Lisa Ehrlinger has authored 7 papers receiving a total of 123 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in Management Science and Operations Research and 2 papers in Information Systems. Recurrent topics in Lisa Ehrlinger’s work include Data Quality and Management (3 papers), Semantic Web and Ontologies (2 papers) and Advanced Graph Neural Networks (1 paper). Lisa Ehrlinger is often cited by papers focused on Data Quality and Management (3 papers), Semantic Web and Ontologies (2 papers) and Advanced Graph Neural Networks (1 paper). Lisa Ehrlinger collaborates with scholars based in Austria. Lisa Ehrlinger's co-authors include Wolfram Wöß, Georg Buchgeher, Jorge Martinez‐Gil, David Gabauer, David James Brunner, Verena Geist, Werner Zellinger, Mohit Kumar, Lukas Fischer and Rudolf Ramler and has published in prestigious journals such as IEEE Access, Frontiers in Big Data and Journal of Data and Information Quality.

In The Last Decade

Co-authorship network of co-authors of Lisa Ehrlinger i

Fields of papers citing papers by Lisa Ehrlinger

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

Countries citing papers authored by Lisa Ehrlinger

Since Specialization
Citations

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

Rankless by CCL
2025