Travis Dick

About

Travis Dick is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Travis Dick has authored 22 papers receiving a total of 152 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Computer Networks and Communications. Recurrent topics in Travis Dick’s work include Machine Learning and Algorithms (6 papers), Privacy-Preserving Technologies in Data (5 papers) and Algorithms and Data Compression (3 papers). Travis Dick is often cited by papers focused on Machine Learning and Algorithms (6 papers), Privacy-Preserving Technologies in Data (5 papers) and Algorithms and Data Compression (3 papers). Travis Dick collaborates with scholars based in United States, Canada and Germany. Travis Dick's co-authors include Maria-Florina Balcan, Ellen Vitercik, Patrick M. Pilarski, Richard S. Sutton, Natalie Rudolph, Yingyu Liang, Jianxing Chen, Tüomas Sandholm, Hongyang Zhang and Wenlong Mou and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the ACM and Journal of Machine Learning Research.

In The Last Decade

Co-authorship network of co-authors of Travis Dick i

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Fields of papers citing papers by Travis Dick

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

Countries citing papers authored by Travis Dick

Since Specialization

Citations

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

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