Daniel Gildea

About

Daniel Gildea is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Daniel Gildea has authored 91 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Artificial Intelligence, 11 papers in Computational Theory and Mathematics and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Daniel Gildea’s work include Natural Language Processing Techniques (79 papers), Topic Modeling (63 papers) and Algorithms and Data Compression (23 papers). Daniel Gildea is often cited by papers focused on Natural Language Processing Techniques (79 papers), Topic Modeling (63 papers) and Algorithms and Data Compression (23 papers). Daniel Gildea collaborates with scholars based in United States, Italy and China. Daniel Gildea's co-authors include Daniel Jurafsky, Martha Palmer, Paul Kingsbury, Ding Liu, David Temperley, Linfeng Song, Yue Zhang, Zhiguo Wang, Michelle Gregory and Alan Bell and has published in prestigious journals such as The Journal of the Acoustical Society of America, Communications of the ACM and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Co-authorship network of co-authors of Daniel Gildea i

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Fields of papers citing papers by Daniel Gildea

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

Countries citing papers authored by Daniel Gildea

Since Specialization

Citations

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

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