Faron Moller

2.7k citations
48 papers · 483 · h-index 12

Impact in

  • Software top 5%
    • Model-Driven Software Engineering Techniques
    • Software Testing and Debugging Techniques
    • Formal Methods in Verification
    • semigroups and automata theory
    • Petri Nets in System Modeling

Papers in

Faron Moller

43 papers receiving 460 citations

Peers

Faron Moller
Comparison fields: 5 of 61
  • Software 88
  • Computational Theory and Mathematics 313
  • Computer Science Applications 57
  • Artificial Intelligence 231
  • Health Informatics 9
Replace Roger Duke with:
Roger Duke Australia
Marco Faella Italy
Maria João Varanda Pereira Portugal
Egidio Astesiano Italy
Esko Nuutila Finland
Stefano Zacchiroli France
Murali Sitaraman United States
P. David Stotts United States
Joshua Sunshine United States
William F. Atchison United States
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Citations per year

Countries citing papers authored by Faron Moller

Since Specialization
Citations

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

Fields of papers citing papers by Faron Moller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199661
2 201842
3
Logics for Concurrency: Structure Versus Automata
199638
4 199635
5 200934
6 202329
7 200327
8 200326
9 200226
10 201423
11 202316
12 199913
13 201410
14 200310
15 200110
16 20029
17 19957
18 20206
19 20235
20 20125

About Faron Moller

Faron Moller is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Computer Science Applications, Software and Media Technology, having authored 48 papers that have together received 483 indexed citations. Recurring topics across this work include Formal Methods in Verification (22 papers), semigroups and automata theory (13 papers), Teaching and Learning Programming (8 papers), Logic, programming, and type systems (8 papers), Model-Driven Software Engineering Techniques (7 papers), Petri Nets in System Modeling (6 papers), Experimental Learning in Engineering (5 papers) and Computability, Logic, AI Algorithms (4 papers). The work is most often cited by research in Software (88 citations), Computational Theory and Mathematics (313 citations), Computer Science Applications (57 citations), Artificial Intelligence (231 citations) and Health Informatics (9 citations). Faron Moller has collaborated with scholars based in United Kingdom, Sweden and Israel. Frequent co-authors include Yoram Hirshfeld, Mark Jerrum, Alexander Rabinovich, Tom Crick, Anton Setzer, Hoang Nga Nguyen, Petr Jančar, Markus Roggenbach, Helen Treharne and Steve Schneider. Their work appears in journals such as Theoretical Computer Science, Information and Computation, ACM Computing Surveys, Science of Computer Programming and Journal of Computer and System Sciences.

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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