Alfons Laarman

989 total citations
15 papers, 79 citations indexed

About

Alfons Laarman is a scholar working on Computational Theory and Mathematics, Software and Artificial Intelligence. According to data from OpenAlex, Alfons Laarman has authored 15 papers receiving a total of 79 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computational Theory and Mathematics, 9 papers in Software and 5 papers in Artificial Intelligence. Recurrent topics in Alfons Laarman's work include Software Testing and Debugging Techniques (8 papers), Formal Methods in Verification (8 papers) and Software Reliability and Analysis Research (3 papers). Alfons Laarman is often cited by papers focused on Software Testing and Debugging Techniques (8 papers), Formal Methods in Verification (8 papers) and Software Reliability and Analysis Research (3 papers). Alfons Laarman collaborates with scholars based in Netherlands, Austria and Finland. Alfons Laarman's co-authors include Jaco van de Pol, Michael Weber, Tom van Dijk, Vedran Dunjko, David Elkouss, Peter Lucas, Arjen Hommersom and Stefan Blom and has published in prestigious journals such as ACM SIGPLAN Notices, Lecture notes in computer science and International Journal of Approximate Reasoning.

In The Last Decade

Alfons Laarman

13 papers receiving 78 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Alfons Laarman Netherlands 6 51 30 30 13 12 15 79
Aina Niemetz Austria 5 54 1.1× 58 1.9× 49 1.6× 17 1.3× 12 1.0× 14 110
Mathias Preiner Austria 5 51 1.0× 52 1.7× 44 1.5× 14 1.1× 12 1.0× 13 98
Antti E. J. Hyvärinen Switzerland 5 26 0.5× 26 0.9× 32 1.1× 27 2.1× 5 0.4× 18 73
Dang Van Hung Spain 6 70 1.4× 52 1.7× 24 0.8× 24 1.8× 14 1.2× 31 110
Simona Orzan Netherlands 6 92 1.8× 77 2.6× 41 1.4× 35 2.7× 7 0.6× 11 129
Stefan Löwe Germany 3 39 0.8× 28 0.9× 53 1.8× 13 1.0× 3 0.3× 4 88
Laure Gonnord France 7 63 1.2× 57 1.9× 35 1.2× 11 0.8× 6 0.5× 22 93
Florian Lonsing Austria 8 134 2.6× 102 3.4× 38 1.3× 27 2.1× 17 1.4× 16 176
Andreas Holzer Austria 4 42 0.8× 76 2.5× 51 1.7× 32 2.5× 12 1.0× 13 142
Pierre-Loïc Garoche France 5 48 0.9× 30 1.0× 46 1.5× 17 1.3× 7 0.6× 30 98

Countries citing papers authored by Alfons Laarman

Since Specialization
Citations

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

Fields of papers citing papers by Alfons Laarman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alfons Laarman

This figure shows the co-authorship network connecting the top 25 collaborators of Alfons Laarman. A scholar is included among the top collaborators of Alfons Laarman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Alfons Laarman. Alfons Laarman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Dijk, Tom van, Alfons Laarman, & Jaco van de Pol. (2024). Multi-core and/or Symbolic Model Checking. Data Archiving and Networked Services (DANS).
2.
Elkouss, David, et al.. (2023). LIMDD: A Decision Diagram for Simulation of Quantum Computing Including Stabilizer States. Quantum. 7. 1108–1108. 6 indexed citations
3.
Laarman, Alfons, et al.. (2023). Hybrid divide-and-conquer approach for tree search algorithms. Quantum. 7. 959–959. 2 indexed citations
4.
Laarman, Alfons, et al.. (2021). Model Checking Software. Lecture notes in computer science.
5.
Laarman, Alfons, et al.. (2021). A compositional approach to probabilistic knowledge compilation. International Journal of Approximate Reasoning. 138. 38–66. 2 indexed citations
6.
Laarman, Alfons. (2019). Optimal compression of combinatorial state spaces. Innovations in Systems and Software Engineering. 15(3-4). 235–251. 1 indexed citations
7.
Laarman, Alfons, et al.. (2018). Parallel Probabilistic Inference by Weighted Model Counting.. Radboud Repository (Radboud University). 72. 97–108. 2 indexed citations
8.
Laarman, Alfons, et al.. (2016). Multi-core on-the-fly SCC decomposition. University of Twente Research Information. 1–12. 16 indexed citations
9.
Laarman, Alfons, et al.. (2016). Multi-core on-the-fly SCC decomposition. ACM SIGPLAN Notices. 51(8). 1–12. 7 indexed citations
10.
Laarman, Alfons, et al.. (2015). LTSmin: High-Performance Language-Independent Model Checking. Lecture notes in computer science. 9035(9035). 1 indexed citations
11.
Laarman, Alfons, et al.. (2014). Guard-based partial-order reduction. International Journal on Software Tools for Technology Transfer. 18(4). 427–448. 9 indexed citations
12.
Laarman, Alfons, et al.. (2013). SpinS: Extending LTSmin with Promela through SpinJa. Electronic Notes in Theoretical Computer Science. 296. 95–105. 4 indexed citations
13.
Dijk, Tom van, Alfons Laarman, & Jaco van de Pol. (2013). Multi-Core BDD Operations for Symbolic Reachability. Electronic Notes in Theoretical Computer Science. 296. 127–143. 10 indexed citations
14.
Laarman, Alfons, Jaco van de Pol, & Michael Weber. (2010). Boosting multi-core reachability performance with shared hash tables. 247–256. 18 indexed citations
15.
Laarman, Alfons. (2009). Achieving QVTO & ATL Interoperability: An Experience Report on the Realization of a QVTO to ATL Computer. 119–133. 1 indexed citations

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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