William Steingartner
Impact in
- Computer Science Applications top 10%
- Teaching and Learning Programming
- Signal Processing top 10%
- Advanced Malware Detection Techniques
Papers in
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- Logic, programming, and type systems 13
- Logic, Reasoning, and Knowledge 6
- Advanced Software Engineering Methodologies 4
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- Software Engineering Research 7
- Information and Cyber Security 5
- Co-authors
- Jiřı́ Dostál (5 shared papers)Wolfgang Schreiner (3 shared papers)Prasart Nuangchalerm (2 shared papers)Xiaojun Wang (1 shared paper)Matúš Pleva (1 shared paper)Branislav Sobota (2 shared papers)Jaroslav Porubän (1 shared paper)Norbert Ádám (1 shared paper)
In The Last Decade
William Steingartner
48 papers receiving 287 citations
Peers
Comparison fields: 5 of 57
- Computer Science Applications 35
- Signal Processing 57
- Software 20
- Computer Networks and Communications 108
- Information Systems 96
Countries citing papers authored by William Steingartner
This map shows the geographic impact of William Steingartner'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 William Steingartner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Steingartner more than expected).
Fields of papers citing papers by William Steingartner
This network shows the impact of papers produced by William Steingartner. 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 William Steingartner. The network helps show where William Steingartner may publish in the future.
Co-authors
The 12 scholars most cited alongside William Steingartner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 52 | |
| 2 | 2021 | 20 | |
| 3 | 2019 | 16 | |
| 4 | 2020 | 15 | |
| 5 | 2016 | 13 | |
| 6 | 2017 | 13 | |
| 7 | 2017 | 12 | |
| 8 | 2019 | 12 | |
| 9 | 2017 | 12 | |
| 10 | 2021 | 11 | |
| 11 | 2017 | 11 | |
| 12 | 2016 | 11 | |
| 13 | 2015 | 9 | |
| 14 | 2017 | 8 | |
| 15 | 2015 | 7 | |
| 16 | 2019 | 7 | |
| 17 | 2017 | 7 | |
| 18 | 2019 | 6 | |
| 19 | 2020 | 5 | |
| 20 | 2021 | 5 |
About William Steingartner
William Steingartner is a scholar working on Artificial Intelligence, Information Systems, Software, Computer Networks and Communications and Computational Theory and Mathematics, having authored 59 papers that have together received 307 indexed citations. Recurring topics across this work include Logic, programming, and type systems (13 papers), Software Engineering Research (7 papers), Model-Driven Software Engineering Techniques (6 papers), Teaching and Learning Programming (6 papers), Logic, Reasoning, and Knowledge (6 papers), Information and Cyber Security (5 papers), Formal Methods in Verification (5 papers) and Advanced Software Engineering Methodologies (4 papers). The work is most often cited by research in Computer Science Applications (35 citations), Signal Processing (57 citations), Software (20 citations), Computer Networks and Communications (108 citations) and Information Systems (96 citations). William Steingartner has collaborated with scholars based in Slovakia, Serbia and Croatia. Frequent co-authors include Jiřı́ Dostál, Wolfgang Schreiner, Prasart Nuangchalerm, Xiaojun Wang, Matúš Pleva, Branislav Sobota, Jaroslav Porubän, Norbert Ádám, Radovan Hudák and Veronika Sedláková. Their work appears in journals such as Acta Polytechnica Hungarica, Symmetry, Applied Sciences, Electronics and Journal of King Saud University - Computer and Information 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.