Mark Day

10 papers and 137 indexed citations i.

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 137 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 Advanced Software Engineering Methodologies (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 Advanced Software Engineering Methodologies (2 papers). Mark Day collaborates with scholars based in United States. Mark Day's co-authors include John F. Patterson, Andrew C. Myers, Barbara Liskov, Robert Gruber, Liuba Shrira, Miguel Castro, Atul Adya, Sanjay Ghemawat, David M. Clark and Gruia-Catalin Roman and has published in prestigious journals such as ACM SIGMOD Record, ACM SIGPLAN Notices and CiteSeer X (The Pennsylvania State University).

In The Last Decade

Co-authorship network of co-authors of Mark Day i

Fields of papers citing papers by Mark Day

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark Day. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mark Day. 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).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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2025