Danielle Saunders

18 papers and 197 indexed citations i.

About

Danielle Saunders is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Materials Chemistry. According to data from OpenAlex, Danielle Saunders has authored 18 papers receiving a total of 197 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 2 papers in Materials Chemistry. Recurrent topics in Danielle Saunders’s work include Natural Language Processing Techniques (12 papers), Topic Modeling (12 papers) and Multimodal Machine Learning Applications (6 papers). Danielle Saunders is often cited by papers focused on Natural Language Processing Techniques (12 papers), Topic Modeling (12 papers) and Multimodal Machine Learning Applications (6 papers). Danielle Saunders collaborates with scholars based in United Kingdom and United States. Danielle Saunders's co-authors include Bill Byrne, Felix Stahlberg, Adrià de Gispert, Eva Hasler, Marcus Tomalin, Tanya L. Myers, Brady D. Lee, Thomas A. Blake, Timothy J. Johnson and Thomas E. Tiwald and has published in prestigious journals such as Journal of Molecular Liquids, Journal of Artificial Intelligence Research and Analytical Methods.

In The Last Decade

Co-authorship network of co-authors of Danielle Saunders i

Fields of papers citing papers by Danielle Saunders

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

Countries citing papers authored by Danielle Saunders

Since Specialization
Citations

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

Rankless by CCL
2025