Alessia Knauss
- Artificial Intelligence top 10%
- Information Systems top 5%
- Computer Networks and Communications top 10%
- Safety, Risk, Reliability and Quality top 10%
- Automotive Engineering
- Co-authors
- Daniela DamianEric KnaussXavier FranchY. D. HangAlex ThomoKelly BlincoeChristian BergerHausi Müller
- Topics
- Advanced Software Engineering Methodologies (10 papers)Software Engineering Research (9 papers)Software System Performance and Reliability (9 papers)
- Journals
- Expert Systems with ApplicationsAccident Analysis & PreventionJournal of Systems and Software
- Partner nations
- SwedenCanadaUnited Kingdom
In The Last Decade
Alessia Knauss
28 papers receiving 308 citations
Peers
Comparison fields: 5 of 54
- Artificial Intelligence 142
- Information Systems 131
- Computer Networks and Communications 74
- Safety, Risk, Reliability and Quality 50
- Automotive Engineering 49
Countries citing papers authored by Alessia Knauss
This map shows the geographic impact of Alessia Knauss'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 Alessia Knauss with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alessia Knauss more than expected).
Fields of papers citing papers by Alessia Knauss
This network shows the impact of papers produced by Alessia Knauss. 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 Alessia Knauss. The network helps show where Alessia Knauss may publish in the future.
Co-authorship network of co-authors of Alessia Knauss
This figure shows the co-authorship network connecting the top 25 collaborators of Alessia Knauss. A scholar is included among the top collaborators of Alessia Knauss 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 Alessia Knauss. Alessia Knauss is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 26 | |
| 6 | Benefits of intuitive auditory cues for blind spot in supporting personalization | 1 |
| 7 | 7 | |
| 8 | 11 | |
| 9 | 14 | |
| 10 | 10 | |
| 11 | 43 | |
| 12 | 6 | |
| 13 | 9 | |
| 14 | 31 | |
| 15 | 6 | |
| 16 | 5 | |
| 17 | 36 | |
| 18 | 7 | |
| 19 | 16 | |
| 20 | 10 |
About Alessia Knauss
Alessia Knauss is a scholar working on Software, Computer Science Applications and Information Systems, having authored 28 papers that have together received 317 indexed citations. Recurring topics across this work include Advanced Software Engineering Methodologies (10 papers), Software Engineering Research (9 papers) and Software System Performance and Reliability (9 papers). The work is most often cited by research in Software (44 citations), Information Systems (131 citations) and Safety, Risk, Reliability and Quality (50 citations). Alessia Knauss has collaborated with scholars based in Sweden, Canada and United Kingdom. Frequent co-authors include Daniela Damian, Eric Knauss, Xavier Franch, Daniela Damian, Y. D. Hang, Alex Thomo, Kelly Blincoe, Christian Berger, Hausi Müller and Ilias Gerostathopoulos. Their work appears in journals such as Expert Systems with Applications, Accident Analysis & Prevention and Journal of Systems and Software.
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.