Mirac Süzgün

6 papers and 232 indexed citations i.

About

Mirac Süzgün is a scholar working on Artificial Intelligence, Oncology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mirac Süzgün has authored 6 papers receiving a total of 232 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 1 paper in Oncology and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Mirac Süzgün’s work include Topic Modeling (2 papers), Natural Language Processing Techniques (2 papers) and Neural Networks and Applications (1 paper). Mirac Süzgün is often cited by papers focused on Topic Modeling (2 papers), Natural Language Processing Techniques (2 papers) and Neural Networks and Applications (1 paper). Mirac Süzgün collaborates with scholars based in United States, United Kingdom and Switzerland. Mirac Süzgün's co-authors include Dan Jurafsky, Sebastian Gehrmann, Judy Wawira Gichoya, David W. Bates, Raja-Elie E. Abdulnour, Peter Szolovits, Jorge A. Rodriguez, Emily Alsentzer, Atul J. Butte and Eric Lehman and has published in prestigious journals such as Sleep Medicine, The Lancet Digital Health and Digital Access to Scholarship at Harvard (DASH) (Harvard University).

In The Last Decade

Co-authorship network of co-authors of Mirac Süzgün i

Fields of papers citing papers by Mirac Süzgün

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

Countries citing papers authored by Mirac Süzgün

Since Specialization
Citations

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

Rankless by CCL
2025