Mathias Preiner

999 total citations
13 papers, 98 citations indexed

About

Mathias Preiner is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Software. According to data from OpenAlex, Mathias Preiner has authored 13 papers receiving a total of 98 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 9 papers in Computational Theory and Mathematics and 7 papers in Software. Recurrent topics in Mathias Preiner's work include Formal Methods in Verification (9 papers), Logic, programming, and type systems (7 papers) and Software Testing and Debugging Techniques (6 papers). Mathias Preiner is often cited by papers focused on Formal Methods in Verification (9 papers), Logic, programming, and type systems (7 papers) and Software Testing and Debugging Techniques (6 papers). Mathias Preiner collaborates with scholars based in Austria, United States and Canada. Mathias Preiner's co-authors include Aina Niemetz, Armin Biere, Florian Lonsing, Martina Seidl, Martin Aigner, Vijay Ganesh, Andres Nötzli, Cesare Tinelli, Byron Cook and Haniel Barbosa and has published in prestigious journals such as Communications of the ACM, Journal of Automated Reasoning and International Journal on Software Tools for Technology Transfer.

In The Last Decade

Mathias Preiner

11 papers receiving 94 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mathias Preiner Austria	5	52	51	44	27	17	13	98
Aina Niemetz Austria	5	58 1.1×	54 1.1×	49 1.1×	30 1.1×	18 1.1×	14	110
Robert Brummayer Austria	5	70 1.3×	80 1.6×	78 1.8×	37 1.4×	14 0.8×	7	140
Aleksandar Chakarov United States	4	45 0.9×	33 0.6×	33 0.8×	15 0.6×	12 0.7×	9	85
Andreas Holzer Austria	4	76 1.5×	42 0.8×	51 1.2×	22 0.8×	34 2.0×	13	142
Bow-Yaw Wang Taiwan	7	95 1.8×	47 0.9×	46 1.0×	39 1.4×	10 0.6×	25	122
Dilian Gurov Sweden	7	91 1.8×	92 1.8×	47 1.1×	23 0.9×	21 1.2×	38	140
Matthias Heizmann Germany	8	68 1.3×	95 1.9×	97 2.2×	28 1.0×	27 1.6×	15	149
Nicholas Smallbone Sweden	6	43 0.8×	37 0.7×	55 1.3×	23 0.9×	18 1.1×	15	99
Lukáš Holík Czechia	9	80 1.5×	41 0.8×	58 1.3×	65 2.4×	18 1.1×	26	136
Jorge A. Navas United States	7	64 1.2×	33 0.6×	56 1.3×	51 1.9×	41 2.4×	17	136

Countries citing papers authored by Mathias Preiner

Since Specialization

Citations

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

Fields of papers citing papers by Mathias Preiner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mathias Preiner

This figure shows the co-authorship network connecting the top 25 collaborators of Mathias Preiner. A scholar is included among the top collaborators of Mathias Preiner 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 Mathias Preiner. Mathias Preiner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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13 of 13 papers shown

1.

Niemetz, Aina, et al.. (2023). Algorithm selection for SMT. International Journal on Software Tools for Technology Transfer. 25(2). 219–239. 3 indexed citations

2.

Barbosa, Haniel, Clark Barrett, Byron Cook, et al.. (2023). Generating and Exploiting Automated Reasoning Proof Certificates. Communications of the ACM. 66(10). 86–95. 2 indexed citations

3.

Niemetz, Aina, Mathias Preiner, & Armin Biere. (2021). Boolector at the SMT Competition 2014. University Library Linz repository (Johannes Kepler Universitat Linz). 1 indexed citations

4.

Niemetz, Aina, Mathias Preiner, Andrew Reynolds, et al.. (2021). Towards Satisfiability Modulo Parametric Bit-vectors. Journal of Automated Reasoning. 65(7). 1001–1025.

5.

Niemetz, Aina & Mathias Preiner. (2020). Ternary Propagation-Based Local Search for More Bit-Precise Reasoning. reposiTUm (TU Wien). 1 indexed citations

6.

Aigner, Martin, et al.. (2018). Analysis of Portfolio-Style Parallel SAT Solving on Current Multi-Core Architectures. EPiC series in computing. 29. 28–14. 4 indexed citations

7.

Niemetz, Aina, Mathias Preiner, & Armin Biere. (2017). Propagation based local search for bit-precise reasoning. Formal Methods in System Design. 51(3). 608–636. 5 indexed citations

8.

Niemetz, Aina, Mathias Preiner, & Armin Biere. (2017). Model-Based API Testing for SMT Solvers.. 3–14. 4 indexed citations

9.

Niemetz, Aina, Mathias Preiner, & Armin Biere. (2015). Boolector 2.0. 9(1). 53–58. 56 indexed citations

10.

Preiner, Mathias, Aina Niemetz, & Armin Biere. (2015). Better lemmas with lambda extraction. 8164. 128–135.

11.

Niemetz, Aina, Mathias Preiner, & Armin Biere. (2014). Turbo-charging Lemmas on demand with don't care reasoning. 179–186. 6 indexed citations

12.

Preiner, Mathias, Aina Niemetz, & Armin Biere. (2013). Lemmas on Demand for Lambdas.. 2 indexed citations

13.

Niemetz, Aina, Mathias Preiner, Florian Lonsing, Martina Seidl, & Armin Biere. (2012). A.: Resolution-based certificate extraction for QBF (tool presentation. 14 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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