Stephen Weeks

33 papers receiving 316 citations

Peers

Stephen Weeks
Comparison fields: 5 of 73
  • Hardware and Architecture 123
  • Software 47
  • Artificial Intelligence 250
  • Computational Theory and Mathematics 98
  • Information Systems 75
Replace Phillip J. Windley with:
Phillip J. Windley United States
Chiyan Chen United States
Bernard Stépien Canada
Amit Sasturkar United States
Jay McCarthy United States
William D. Young United States
Akihiko Tozawa Japan
A. P. Ershov Russia
Thomas P. Murtagh United States
Florian Zuleger Austria
Stephen Weeks relative to Phillip J. Windley United States Phillip J. Windley's profile →
Citations per field
00.5×
Phillip J. Windley · 1×
Citations per year

Countries citing papers authored by Stephen Weeks

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Weeks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Stephen Weeks, 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 Stephen Weeks Line = papers co-authored together Stephen Weeks links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200280
2 199568
3 200660
4 199832
5 200120
6 199418
7 20088
8
Totora: A Sustainable Insulation Material for the Andean Parts of Peru
20128
9 19947
10 20086
11 20026
12 19935
13 20035
14 20104
15 20013
16
Southern Quakers And Slavery: A Study In Institutional History
20073
17 20073
18 20113
19
History of Public School Education in Delaware
20162
20
Is it good to talk?
20082

About Stephen Weeks

Stephen Weeks is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Hardware and Architecture, Sociology and Political Science and Education, having authored 46 papers that have together received 356 indexed citations. Recurring topics across this work include Logic, programming, and type systems (11 papers), Formal Methods in Verification (9 papers), Parallel Computing and Optimization Techniques (6 papers), Distributed systems and fault tolerance (3 papers), Semiconductor materials and devices (2 papers), Diverse Educational Innovations Studies (2 papers), School Choice and Performance (2 papers) and Advancements in Semiconductor Devices and Circuit Design (2 papers). The work is most often cited by research in Hardware and Architecture (123 citations), Software (47 citations), Artificial Intelligence (250 citations), Computational Theory and Mathematics (98 citations) and Information Systems (75 citations). Stephen Weeks has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Suresh Jagannathan, Matthew Fluet, Andrew K. Wright, Peter Thiemann, Yaron Minsky, Matthias Felleisen, Lukasz Ziarek, James Philbin, Mike Lehane and Alison Crumbie. Their work appears in journals such as Journal of Mental Health, LISP and Symbolic Computation, Nursing Standard, Journal of Functional Programming and Modern Drama.

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.

Explore authors with similar magnitude of impact