Patrick Meredith

1.3k citations
32 papers · 1.0k · h-index 17

Impact in

Papers in

Patrick Meredith

32 papers receiving 949 citations

Peers

Patrick Meredith
Comparison fields: 5 of 43
  • Software 458
  • Hardware and Architecture 348
  • Computational Theory and Mathematics 323
  • Artificial Intelligence 497
  • Computer Networks and Communications 333
Replace Allen Goldberg with:
Allen Goldberg United States
Mandana Vaziri United States
Noam Rinetzky Israel
Traian Florin Şerbănuţă United States
Liviu Tancau United States
Borzoo Bonakdarpour United States
Willem-Paul de Roever Germany
Charles N. Fischer United States
Yanhong A. Liu United States
Yuan Yu United States
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Citations per field
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Citations per year

Countries citing papers authored by Patrick Meredith

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Meredith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Patrick Meredith, 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 Patrick Meredith Line = papers co-authored together Patrick Meredith links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011196
2 2014146
3 200864
4 200956
5 201455
6 201252
7 201250
8 201444
9 201037
10 201036
11 200936
12 201132
13 200825
14 201119
15
An Executable Rewriting Logic Semantics of K-Scheme
200718
16
Towards Categorizing and Formalizing the JDK API
201218
17 201216
18 201015
19 201515
20 201312

About Patrick Meredith

Patrick Meredith is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Hardware and Architecture, Software and Information Systems, having authored 32 papers that have together received 1.0k indexed citations. Recurring topics across this work include Logic, programming, and type systems (16 papers), Formal Methods in Verification (11 papers), Software Testing and Debugging Techniques (10 papers), Software Engineering Research (8 papers), Advanced Software Engineering Methodologies (6 papers), Parallel Computing and Optimization Techniques (5 papers), Embedded Systems Design Techniques (4 papers) and Real-Time Systems Scheduling (4 papers). The work is most often cited by research in Software (458 citations), Hardware and Architecture (348 citations), Computational Theory and Mathematics (323 citations), Artificial Intelligence (497 citations) and Computer Networks and Communications (333 citations). Patrick Meredith has collaborated with scholars based in United States, United Kingdom and Romania. Frequent co-authors include Grigore Roşu, Dongyun Jin, Jeff Huang, Dennis Griffith, Feng Chen, Choong-Hwan Lee, Marco Caccamo, Rodolfo Pellizzoni, Feng Chen and Traian Florin Şerbănuţă. Their work appears in journals such as ACM SIGPLAN Notices, The Philosophical Quarterly, Automated Software Engineering, International Journal on Software Tools for Technology Transfer and Lecture notes in computer science.

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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