Mark Day

About

Mark Day is a scholar working on Computer Networks and Communications, Hardware and Architecture and Artificial Intelligence. According to data from OpenAlex, Mark Day has authored 10 papers receiving a total of 136 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Networks and Communications, 4 papers in Hardware and Architecture and 3 papers in Artificial Intelligence. Recurrent topics in Mark Day’s work include Distributed systems and fault tolerance (7 papers), Advanced Data Storage Technologies (3 papers) and Cloud Computing and Remote Desktop Technologies (2 papers). Mark Day is often cited by papers focused on Distributed systems and fault tolerance (7 papers), Advanced Data Storage Technologies (3 papers) and Cloud Computing and Remote Desktop Technologies (2 papers). Mark Day collaborates with scholars based in United States. Mark Day's co-authors include Barbara Liskov, Robert Gruber, Andrew C. Myers, John F. Patterson and Atul Adya and has published in prestigious journals such as ACM SIGMOD Record and ACM SIGPLAN Notices.

In The Last Decade

Fields of papers citing papers by Mark Day

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

Countries citing papers authored by Mark Day

Since Specialization

Citations

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

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