Barlas Oǧuz

20 papers and 1.3k indexed citations i.

About

Barlas Oǧuz is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Barlas Oǧuz has authored 20 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 2 papers in Computer Networks and Communications. Recurrent topics in Barlas Oǧuz’s work include Topic Modeling (14 papers), Natural Language Processing Techniques (13 papers) and Multimodal Machine Learning Applications (9 papers). Barlas Oǧuz is often cited by papers focused on Topic Modeling (14 papers), Natural Language Processing Techniques (13 papers) and Multimodal Machine Learning Applications (9 papers). Barlas Oǧuz collaborates with scholars based in United States, United Kingdom and Canada. Barlas Oǧuz's co-authors include Patrick Lewis, Vladimir Karpukhin, Wen-tau Yih, Sewon Min, Danqi Chen, Ledell Wu, Sergey Edunov, Sebastian Riedel, Holger Schwenk and Ruty Rinott and has published in prestigious journals such as IEEE/ACM Transactions on Networking, Journal of Applied Probability and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Co-authorship network of co-authors of Barlas Oǧuz i

Fields of papers citing papers by Barlas Oǧuz

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

Countries citing papers authored by Barlas Oǧuz

Since Specialization
Citations

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

Rankless by CCL
2025