John Reppy

3.0k citations
88 papers · 2.1k · h-index 26

Impact in

Papers in

John Reppy

86 papers receiving 2.0k citations

Peers

John Reppy
Comparison fields: 5 of 55
  • Hardware and Architecture 1.3k
  • Computer Networks and Communications 1.1k
  • Software 178
  • Artificial Intelligence 1.3k
  • Computational Theory and Mathematics 470
Replace Rishiyur S. Nikhil with:
Rishiyur S. Nikhil United States
Paul Hilfinger United States
Robert H. Halstead United States
Tiark Rompf United States
R. Kent Dybvig United States
Scott Owens United Kingdom
John R. Allen United States
François Irigoin France
Daan Leijen United States
Umut A. Acar United States
John Reppy relative to Rishiyur S. Nikhil United States Rishiyur S. Nikhil's profile →
Citations per field
00.5×7.2×
Rishiyur S. Nikhil · 1×
Citations per year

Countries citing papers authored by John Reppy

Since Specialization
Citations

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

Fields of papers citing papers by John Reppy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995244
2 1999169
3 1991158
4
Higher-order concurrency
199291
5 200987
6 200164
7 199160
8 199959
9 201053
10 200749
11 200747
12 201247
13 199347
14 199440
15 201239
16 199633
17 200832
18 198732
19
A multi-threaded higher-order user interface toolkit
199330
20 200930

About John Reppy

John Reppy is a scholar working on Hardware and Architecture, Artificial Intelligence, Computer Networks and Communications, Computational Theory and Mathematics and Software, having authored 88 papers that have together received 2.1k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (59 papers), Logic, programming, and type systems (51 papers), Distributed systems and fault tolerance (18 papers), Formal Methods in Verification (18 papers), Distributed and Parallel Computing Systems (15 papers), Model-Driven Software Engineering Techniques (9 papers), Interconnection Networks and Systems (8 papers) and Security and Verification in Computing (8 papers). The work is most often cited by research in Hardware and Architecture (1.3k citations), Computer Networks and Communications (1.1k citations), Software (178 citations), Artificial Intelligence (1.3k citations) and Computational Theory and Mathematics (470 citations). John Reppy has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Matthew Fluet, Laurie Hendren, Martin C. Carlisle, Anne Rogers, Mike Rainey, Kathleen Fisher, Aaron Turon, Lars Bergström, Scott Owens and Emden R. Gansner. Their work appears in journals such as ACM SIGPLAN Notices, Proceedings of the ACM on Programming Languages, Journal of Functional Programming, Lecture notes in computer science and Information and Computation.

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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