Daron Vroon

515 citations
21 papers · 372 · h-index 13

Impact in

Papers in

Daron Vroon

21 papers receiving 354 citations

Peers

Daron Vroon
Comparison fields: 5 of 29
  • Software 152
  • Computational Theory and Mathematics 254
  • Hardware and Architecture 71
  • Artificial Intelligence 280
  • Computer Science Applications 20
Replace Jorge Sousa Pinto with:
Jorge Sousa Pinto Portugal
Farn Wang Taiwan
Martin Strecker France
Jeroen J. A. Keiren Netherlands
Adrian Johnstone United Kingdom
Ryan Culpepper United States
Gudmund Grov United Kingdom
Andreas Holzer Austria
Fergus Henderson Australia
Matthias Dangl Germany
Daron Vroon relative to Jorge Sousa Pinto Portugal Jorge Sousa Pinto's profile →
Citations per field
00.5×2×2.6×
Jorge Sousa Pinto · 1×
Citations per year

Countries citing papers authored by Daron Vroon

Since Specialization
Citations

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

Fields of papers citing papers by Daron Vroon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside Daron Vroon, 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 Daron Vroon Line = papers co-authored together Daron Vroon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200651
2 200632
3 200629
4 201129
5 200725
6 200723
7 200722
8 200722
9 200721
10 200519
11 200319
12 200914
13 200713
14 200410
15 200910
16
Ordinal Arithmetic in ACL2
20038
17 20067
18 20106
19 19996
20 19993

About Daron Vroon

Daron Vroon is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Software, Information Systems and Hardware and Architecture, having authored 21 papers that have together received 372 indexed citations. Recurring topics across this work include Logic, programming, and type systems (15 papers), Formal Methods in Verification (12 papers), Software Testing and Debugging Techniques (9 papers), Software Engineering Research (4 papers), Teaching and Learning Programming (3 papers), Model-Driven Software Engineering Techniques (3 papers), Embedded Systems Design Techniques (3 papers) and Logic, Reasoning, and Knowledge (3 papers). The work is most often cited by research in Software (152 citations), Computational Theory and Mathematics (254 citations), Hardware and Architecture (71 citations), Artificial Intelligence (280 citations) and Computer Science Applications (20 citations). Daron Vroon has collaborated with scholars based in United States, China and Spain. Frequent co-authors include Panagiotis Manolios, J Strother Moore, Sudarshan K. Srinivasan, Peter C. Dillinger, Sandip Ray, John Matthews, G. Mani Subramanian and Matt Kaufmann. Their work appears in journals such as Journal of Functional Programming, Journal of Automated Reasoning, Lecture notes in computer science, Electronic Notes in Theoretical Computer Science and ACM SIGCSE Bulletin.

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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