Will Partain

1.6k total citations · 1 hit paper
6 papers, 737 citations indexed

About

Will Partain is a scholar working on Artificial Intelligence, Information Systems and Hardware and Architecture. According to data from OpenAlex, Will Partain has authored 6 papers receiving a total of 737 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Information Systems and 3 papers in Hardware and Architecture. Recurrent topics in Will Partain's work include Logic, programming, and type systems (4 papers), Software Engineering Research (3 papers) and Parallel Computing and Optimization Techniques (3 papers). Will Partain is often cited by papers focused on Logic, programming, and type systems (4 papers), Software Engineering Research (3 papers) and Parallel Computing and Optimization Techniques (3 papers). Will Partain collaborates with scholars based in United Kingdom, Tanzania and Sweden. Will Partain's co-authors include Simon Peyton Jones, John Hughes, Jon Fairbairn, Joseph H. Fasel, Philip Wadler, Kevin Hammond, Paul Hudak, Rishiyur S. Nikhil, Thomas Johnsson and John Peterson and has published in prestigious journals such as ACM SIGPLAN Notices, OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) and USENIX Large Installation Systems Administration Conference.

In The Last Decade

Will Partain

5 papers receiving 622 citations

Hit Papers

Report on the programming language Haskell 1992 2026 2003 2014 1992 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Report on the programming language Haskell
    1992 527 citations Paul Hudak, Simon Peyton Jones et al. ACM SIGPLAN Notices profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Will Partain United Kingdom 4 596 328 238 185 127 6 737
Jon Fairbairn United Kingdom 5 576 1.0× 312 1.0× 222 0.9× 172 0.9× 124 1.0× 10 708
Joseph H. Fasel United States 6 639 1.1× 353 1.1× 255 1.1× 203 1.1× 131 1.0× 9 815
Chris Okasaki United States 12 443 0.7× 254 0.8× 196 0.8× 204 1.1× 103 0.8× 28 596
P. J. Landin United Kingdom 6 956 1.6× 618 1.9× 262 1.1× 204 1.1× 146 1.1× 9 1.1k
Reino Kurki-Suonio Finland 11 312 0.5× 301 0.9× 126 0.5× 173 0.9× 93 0.7× 37 534
Yves Bertot France 9 611 1.0× 471 1.4× 89 0.4× 123 0.7× 110 0.9× 33 784
A. J. Kfoury United States 15 563 0.9× 433 1.3× 94 0.4× 145 0.8× 85 0.7× 79 704
Christine Paulin-Mohring France 9 646 1.1× 478 1.5× 101 0.4× 131 0.7× 84 0.7× 13 770
Michael J. O’Donnell United States 10 473 0.8× 313 1.0× 156 0.7× 96 0.5× 72 0.6× 23 602
Michael J. C. Gordon United Kingdom 10 831 1.4× 622 1.9× 166 0.7× 124 0.7× 99 0.8× 18 972

Countries citing papers authored by Will Partain

Since Specialization
Citations

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

Fields of papers citing papers by Will Partain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Will Partain

This figure shows the co-authorship network connecting the top 25 collaborators of Will Partain. A scholar is included among the top collaborators of Will Partain 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 Will Partain. Will Partain is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
1.
Partain, Will, et al.. (2001). The Arusha Project: A Framework for Collaborative UNIX System Administration. USENIX Large Installation Systems Administration Conference. 187–198. 9 indexed citations
2.
Jones, Simon Peyton, Will Partain, & André L. M. Santos. (1996). Let-floating. 1–12. 50 indexed citations
3.
Jones, Simon Peyton, Will Partain, & André L. M. Santos. (1996). Let-floating. ACM SIGPLAN Notices. 31(6). 1–12. 3 indexed citations
4.
Hudak, Paul, Simon Jones, Philip Wadler, et al.. (1992). Report on the Programming Language Haskell, A Non-strict, Purely Functional Language.. ACM SIGPLAN Notices. 27. 1. 148 indexed citations
5.
Hudak, Paul, Simon Peyton Jones, Philip Wadler, et al.. (1992). Report on the programming language Haskell. ACM SIGPLAN Notices. 27(5). 1–164. 527 indexed citations breakdown →
6.
Partain, Will, et al.. (1986). Implementing Dynamic Arrays: A Challenge for High-Performance Machines,. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).

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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