Miriam Eckert

5 papers and 264 indexed citations i.

About

Miriam Eckert is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology and Molecular Biology. According to data from OpenAlex, Miriam Eckert has authored 5 papers receiving a total of 264 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Experimental and Cognitive Psychology and 2 papers in Molecular Biology. Recurrent topics in Miriam Eckert’s work include Natural Language Processing Techniques (4 papers), Speech and dialogue systems (3 papers) and Biomedical Text Mining and Ontologies (2 papers). Miriam Eckert is often cited by papers focused on Natural Language Processing Techniques (4 papers), Speech and dialogue systems (3 papers) and Biomedical Text Mining and Ontologies (2 papers). Miriam Eckert collaborates with scholars based in United States, United Kingdom and Australia. Miriam Eckert's co-authors include Michael Strube, Lawrence Hunter, Michael Bada, William A. Baumgartner, Kevin Bretonnel Cohen, Karin Verspoor, Dmitry Sitnikov, Judith A. Blake, Donald L. Evans and H. L. Johnson and has published in prestigious journals such as BMC Bioinformatics, Computer Assisted Language Learning and Journal of Semantics.

In The Last Decade

Co-authorship network of co-authors of Miriam Eckert i

Fields of papers citing papers by Miriam Eckert

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

Countries citing papers authored by Miriam Eckert

Since Specialization
Citations

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

Rankless by CCL
2025