Arndt von Staa
- Information Systems top 1%
- Artificial Intelligence top 2%
- Software top 1%
- Computer Networks and Communications top 5%
- Computer Science Applications top 10%
- Co-authors
- Alessandro GarciaCláudio Sant’AnnaUirá KuleszaCarlos LucenaIsela MaciaChristina ChávezRoberta CoelhoEduardo Figueiredo
- Topics
- Software Engineering Research (31 papers)Advanced Software Engineering Methodologies (29 papers)Software System Performance and Reliability (12 papers)
- Journals
- Information SciencesSoftware Practice and ExperienceJournal of the Brazilian Computer Society
- Partner nations
- BrazilUnited KingdomGermany
In The Last Decade
Arndt von Staa
38 papers receiving 824 citations
Peers
Comparison fields: 5 of 37
- Information Systems 778
- Artificial Intelligence 585
- Software 320
- Computer Networks and Communications 292
- Computer Science Applications 42
Countries citing papers authored by Arndt von Staa
This map shows the geographic impact of Arndt von Staa'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 Arndt von Staa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arndt von Staa more than expected).
Fields of papers citing papers by Arndt von Staa
This network shows the impact of papers produced by Arndt von Staa. 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 Arndt von Staa. The network helps show where Arndt von Staa may publish in the future.
Co-authorship network of co-authors of Arndt von Staa
This figure shows the co-authorship network connecting the top 25 collaborators of Arndt von Staa. A scholar is included among the top collaborators of Arndt von Staa 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 Arndt von Staa. Arndt von Staa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 28 | |
| 5 | 8 | |
| 6 | 26 | |
| 7 | 1 | |
| 8 | 9 | |
| 9 | 1 | |
| 10 | 7 | |
| 11 | A verification approach for crosscutting features based on extension join points | 1 |
| 12 | 57 | |
| 13 | 59 | |
| 14 | 2 | |
| 15 | 6 | |
| 16 | 5 | |
| 17 | 156 | |
| 18 | 8 | |
| 19 | Towards a theory of software engineering | 1 |
| 20 | 8 |
About Arndt von Staa
Arndt von Staa is a scholar working on Software, Information Systems and Artificial Intelligence, having authored 41 papers that have together received 887 indexed citations. Recurring topics across this work include Software Engineering Research (31 papers), Advanced Software Engineering Methodologies (29 papers) and Software System Performance and Reliability (12 papers). The work is most often cited by research in Software (320 citations), Information Systems (778 citations) and Artificial Intelligence (585 citations). Arndt von Staa has collaborated with scholars based in Brazil, United Kingdom and Germany. Frequent co-authors include Alessandro Garcia, Cláudio Sant’Anna, Uirá Kulesza, Carlos Lucena, Isela Macia, Christina Chávez, Roberta Coelho, Alessandro Garcia, Eduardo Figueiredo and Joshua Garcia. Their work appears in journals such as Information Sciences, Software Practice and Experience and Journal of the Brazilian Computer Society.
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.