Mark Day

1.9k citations
26 papers · 529 · h-index 10

Impact in

Papers in

    • Distributed systems and fault tolerance 11
    • Distributed and Parallel Computing Systems 6
    • Advanced Database Systems and Queries 4
    • Advanced Data Storage Technologies 4
    • Parallel Computing and Optimization Techniques 5
    • Cloud Computing and Remote Desktop Technologies 3

Mark Day

23 papers receiving 450 citations

Peers

Mark Day
Comparison fields: 5 of 40
  • Computer Networks and Communications 329
  • Human-Computer Interaction 80
  • Hardware and Architecture 89
  • Information Systems and Management 57
  • Information Systems 169
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Citations per field
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Citations per year

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).

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.

Co-authors

The 21 scholars most cited alongside Mark Day, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mark Day Line = papers co-authored together Mark Day links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996103
2 199694
3 199372
4 199566
5
Distributed Object Management in Thor.
199252
6
ARGUS REFERENCE MANUAL
198733
7 199620
8 199316
9 199715
10 19959
11
Reconfiguration in Argus
19929
12 20029
13 19847
14
REPLICATION AND RECONFIGURATION IN A DISTRIBUTED MAIL REPOSITORY
19875
15
The language-independent interface of the Thor persistent object system
19954
16
Bits to Bitcoin: How Our Digital Stuff Works
20183
17 19993
18 20182
19
Presence Information Protocol Requirements
19982
20 19991

About Mark Day

Mark Day is a scholar working on Computer Networks and Communications, Hardware and Architecture, Information Systems, Artificial Intelligence and Sociology and Political Science, having authored 26 papers that have together received 529 indexed citations. Recurring topics across this work include Distributed systems and fault tolerance (11 papers), Distributed and Parallel Computing Systems (6 papers), Parallel Computing and Optimization Techniques (5 papers), Advanced Database Systems and Queries (4 papers), Advanced Data Storage Technologies (4 papers), Cloud Computing and Resource Management (3 papers), Advanced Software Engineering Methodologies (3 papers) and Cloud Computing and Remote Desktop Technologies (3 papers). The work is most often cited by research in Computer Networks and Communications (329 citations), Human-Computer Interaction (80 citations), Hardware and Architecture (89 citations), Information Systems and Management (57 citations) and Information Systems (169 citations). Mark Day has collaborated with scholars based in United States. Frequent co-authors include Barbara Liskov, John F. Patterson, Andrew C. Myers, Robert Gruber, Liuba Shrira, Atul Adya, Sanjay Ghemawat, Miguel Castro, Gary T. Leavens and P. V. Johnson. Their work appears in journals such as ACM SIGPLAN Notices, Personal and Ubiquitous Computing, ACM SIGMOD Record, Lecture notes in computer science and CERN Document Server (European Organization for Nuclear Research).

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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