Mark Day

43 total papers · 1.9k total citations
24 papers, 449 citations indexed

About

Mark Day is a scholar working on Computer Networks and Communications, Hardware and Architecture and Information Systems. According to data from OpenAlex, Mark Day has authored 24 papers receiving a total of 449 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Networks and Communications, 8 papers in Hardware and Architecture and 6 papers in Information Systems. Recurrent topics in Mark Day's work include Distributed systems and fault tolerance (11 papers), Parallel Computing and Optimization Techniques (5 papers) and Distributed and Parallel Computing Systems (5 papers). Mark Day is often cited by papers focused on Distributed systems and fault tolerance (11 papers), Parallel Computing and Optimization Techniques (5 papers) and Distributed and Parallel Computing Systems (5 papers). Mark Day collaborates with scholars based in United States. Mark Day's co-authors include Barbara Liskov, John F. Patterson, Andrew C. Myers, Robert Gruber, Liuba Shrira, Atul Adya, Miguel Castro, Sanjay Ghemawat, Maurice Herlihy and Gary T. Leavens and has published in prestigious journals such as ACM SIGMOD Record, ACM SIGPLAN Notices and Personal and Ubiquitous Computing.

In The Last Decade

Mark Day

21 papers receiving 374 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Mark Day	281	184	146	84	61	24	449
Norman Delisle	193 0.7×	256 1.4×	212 1.5×	58 0.7×	162 2.7×	16	520
Daniel C. Swinehart	296 1.1×	146 0.8×	77 0.5×	125 1.5×	26 0.4×	12	452
Sean McDirmid	173 0.6×	258 1.4×	304 2.1×	59 0.7×	42 0.7×	30	462
Linda G. DeMichiel	244 0.9×	352 1.9×	161 1.1×	93 1.1×	12 0.2×	14	492
Pascal Urso	285 1.0×	106 0.6×	223 1.5×	18 0.2×	81 1.3×	19	414
Israel Ben‐Shaul	220 0.8×	201 1.1×	329 2.3×	24 0.3×	23 0.4×	26	506
Larry Koved	95 0.3×	177 1.0×	251 1.7×	17 0.2×	69 1.1×	27	425
Renzo Orsini	364 1.3×	328 1.8×	126 0.9×	22 0.3×	11 0.2×	37	510
Stuart Wheater	268 1.0×	141 0.8×	295 2.0×	34 0.4×	11 0.2×	36	460
Keith Irwin	126 0.4×	186 1.0×	123 0.8×	74 0.9×	17 0.3×	31	458

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-authorship network of co-authors of Mark Day

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Day. A scholar is included among the top collaborators of Mark Day based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mark Day. Mark Day is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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