Mathias Preiner

999 citations
13 papers · 98 · h-index 5

Impact in

Papers in

Mathias Preiner

11 papers receiving 94 citations

Peers

Mathias Preiner
Comparison fields: 5 of 14
  • Software 44
  • Computational Theory and Mathematics 51
  • Hardware and Architecture 17
  • Artificial Intelligence 52
  • Information Systems 27
Replace Aina Niemetz with:
Aina Niemetz Austria
Robert Brummayer Austria
Aleksandar Chakarov United States
Alfons Laarman Netherlands
Dilian Gurov Sweden
Nicholas Smallbone Sweden
Bow-Yaw Wang Taiwan
Lukáš Holík Czechia
Stefan Löwe Germany
Matthias Heizmann Germany
Mathias Preiner relative to Aina Niemetz Austria Aina Niemetz's profile →
Citations per field
00.5×1.5×
Aina Niemetz · 1×
Citations per year

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-authors

The 17 scholars most cited alongside Mathias Preiner, 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 Mathias Preiner Line = papers co-authored together Mathias Preiner links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 201556
2
A.: Resolution-based certificate extraction for QBF (tool presentation
201214
3 20146
4 20175
5 20184
6
Model-Based API Testing for SMT Solvers.
20174
7 20233
8
Lemmas on Demand for Lambdas.
20132
9 20232
10 20211
11 20201
12 20150
13 20210

About Mathias Preiner

Mathias Preiner is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Software, Computer Networks and Communications and Information Systems, having authored 13 papers that have together received 98 indexed citations. Recurring topics across this work include Formal Methods in Verification (9 papers), Logic, programming, and type systems (7 papers), Software Testing and Debugging Techniques (6 papers), Logic, Reasoning, and Knowledge (3 papers), Model-Driven Software Engineering Techniques (2 papers), Parallel Computing and Optimization Techniques (1 paper), Software Engineering Research (1 paper) and Bayesian Modeling and Causal Inference (1 paper). The work is most often cited by research in Software (44 citations), Computational Theory and Mathematics (51 citations), Hardware and Architecture (17 citations), Artificial Intelligence (52 citations) and Information Systems (27 citations). Mathias Preiner has collaborated with scholars based in Austria, United States and Canada. Frequent co-authors include Aina Niemetz, Armin Biere, Martina Seidl, Florian Lonsing, Vijay Ganesh, Martin Aigner, Haniel Barbosa, Gereon Kremer, Clark Barrett and Andrew Reynolds. Their work appears in journals such as Journal of Automated Reasoning, International Journal on Software Tools for Technology Transfer, Formal Methods in System Design, Communications of the ACM and University Library Linz repository (Johannes Kepler Universitat Linz).

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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