John Reppy

3.0k citations
72 papers · 1.6k · h-index 23

Impact in

Papers in

John Reppy

70 papers receiving 1.4k citations

Peers

John Reppy
Comparison fields: 5 of 48
  • Hardware and Architecture 998
  • Computer Networks and Communications 863
  • Software 132
  • Artificial Intelligence 878
  • Computational Theory and Mathematics 278
Replace Erez Petrank with:
Erez Petrank Israel
Umut A. Acar United States
Rishiyur S. Nikhil United States
Paul Hilfinger United States
John R. Allen United States
Arvind K. Sujeeth United States
Scott Owens United Kingdom
Jason Ansel United States
Tiark Rompf United States
Linda Torczon United States
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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 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995223
2 1999140
3 1991118
4
Higher-order concurrency
199263
5 200956
6 200151
7 199948
8 201045
9 201244
10 200739
11 200737
12 199434
13 201233
14 199631
15 200929
16 200828
17 201527
18 200127
19 200727
20
A multi-threaded higher-order user interface toolkit
199326

About John Reppy

John Reppy is a scholar working on Hardware and Architecture, Artificial Intelligence, Computer Networks and Communications, Computational Theory and Mathematics and Information Systems, having authored 72 papers that have together received 1.6k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (51 papers), Logic, programming, and type systems (43 papers), Formal Methods in Verification (16 papers), Distributed and Parallel Computing Systems (15 papers), Distributed systems and fault tolerance (14 papers), Model-Driven Software Engineering Techniques (7 papers), Interconnection Networks and Systems (7 papers) and Security and Verification in Computing (7 papers). The work is most often cited by research in Hardware and Architecture (998 citations), Computer Networks and Communications (863 citations), Software (132 citations), Artificial Intelligence (878 citations) and Computational Theory and Mathematics (278 citations). John Reppy has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Matthew Fluet, Mike Rainey, Anne Rogers, Laurie Hendren, Martin C. Carlisle, Kathleen Fisher, Lars Bergström, Aaron Turon, 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, ACM Transactions on Programming Languages and Systems and IEEE Transactions on Visualization and Computer Graphics.

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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