Travis Gagie

About

Travis Gagie is a scholar working on Artificial Intelligence, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Travis Gagie has authored 86 papers receiving a total of 682 indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Artificial Intelligence, 41 papers in Molecular Biology and 21 papers in Computational Theory and Mathematics. Recurrent topics in Travis Gagie’s work include Algorithms and Data Compression (78 papers), Genomics and Phylogenetic Studies (23 papers) and DNA and Biological Computing (18 papers). Travis Gagie is often cited by papers focused on Algorithms and Data Compression (78 papers), Genomics and Phylogenetic Studies (23 papers) and DNA and Biological Computing (18 papers). Travis Gagie collaborates with scholars based in Chile, Canada and Finland. Travis Gagie's co-authors include Simon J. Puglisi, Gonzalo Navarro, Christina Boucher, Giovanni Manzini and Ben Langmead and has published in prestigious journals such as Bioinformatics, IEEE Transactions on Information Theory and Genome biology.

In The Last Decade

Fields of papers citing papers by Travis Gagie

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

Countries citing papers authored by Travis Gagie

Since Specialization

Citations

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

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