Brian Hayes

1.1k total citations · 1 hit paper
10 papers, 721 citations indexed

About

Brian Hayes is a scholar working on Literature and Literary Theory, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Brian Hayes has authored 10 papers receiving a total of 721 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Literature and Literary Theory, 2 papers in Computational Theory and Mathematics and 1 paper in Computer Networks and Communications. Recurrent topics in Brian Hayes's work include Digital Humanities and Scholarship (2 papers), Data Management and Algorithms (1 paper) and Anthropological Studies and Insights (1 paper). Brian Hayes is often cited by papers focused on Digital Humanities and Scholarship (2 papers), Data Management and Algorithms (1 paper) and Anthropological Studies and Insights (1 paper). Brian Hayes collaborates with scholars based in United States. Brian Hayes's co-authors include and has published in prestigious journals such as Communications of the ACM, American Scientist and The Sciences.

In The Last Decade

Brian Hayes

8 papers receiving 642 citations

Hit Papers

Cloud computing 2008 2026 2014 2020 2008 200 400 600

Peers

Brian Hayes
Donald Ferguson United States
Mark Needleman United States
Debra VanderMeer United States
Ajith Ranabahu United States
Pak‐Lok Poon Australia
Brian Hayes
Citations per year, relative to Brian Hayes Brian Hayes (= 1×) peers Timothy Grance

Countries citing papers authored by Brian Hayes

Since Specialization
Citations

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

Fields of papers citing papers by Brian Hayes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian Hayes. 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 Brian Hayes. The network helps show where Brian Hayes may publish in the future.

No nodes

All Works

10 of 10 papers shown
1.
Hayes, Brian. (2014). Belles lettres Meets Big Data. American Scientist. 102(4). 262–262. 1 indexed citations
2.
Hayes, Brian. (2012). Alice and Bob in Cipherspace. American Scientist. 100(5). 362–362. 10 indexed citations
3.
Hayes, Brian. (2008). Monty Hall Redux. American Scientist. 96(5). 434–434. 3 indexed citations
4.
Hayes, Brian. (2008). Cloud computing. Communications of the ACM. 51(7). 9–11. 687 indexed citations breakdown →
5.
Hayes, Brian. (2006). The Semicolon Wars. American Scientist. 94(4). 299–299. 2 indexed citations
6.
Hayes, Brian. (2005). Rumours and Errours. American Scientist. 93(3). 207–207. 7 indexed citations
7.
Hayes, Brian. (2003). In Search of the Optimal Scumsucking Bottomfeeder. American Scientist. 91(5). 392–392. 6 indexed citations
8.
Hayes, Brian. (1994). The Magic Words are Squeamish Ossifrage. American Scientist. 82(4). 312–316. 4 indexed citations
9.
Hayes, Brian. (1993). The Electronic Palimpsest. The Sciences. 33(5). 10–13. 1 indexed citations
10.
Hayes, Brian. (1992). The Information Age. The Sciences. 32(6). 12–15.

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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