Katja Tuma
Impact in
- Information Systems top 5%
- Information and Cyber Security
- Software Engineering Research
- Software Engineering Techniques and Practices
- Software top 10%
- Software Reliability and Analysis Research
Papers in
-
- Information and Cyber Security 14
- Software Engineering Research 12
- Software Engineering Techniques and Practices 3
-
- Advanced Malware Detection Techniques 9
- Co-authors
- Riccardo Scandariato (10 shared papers)Gül Çalıklı (1 shared paper)Laurens Sion (2 shared papers)Koen Yskout (2 shared papers)Musard Balliu (1 shared paper)Fabio Massacci (7 shared papers)Daniel Strüber (3 shared papers)Jan Jürjens (3 shared papers)
- Journals
- Empirical Software Engineering (4 papers)IEEE Security & Privacy (4 papers)Journal of Systems and Software (2 papers)Risk Analysis (1 paper)Computers & Security (1 paper)
- Partner nations
- NetherlandsSwedenItaly
In The Last Decade
Katja Tuma
20 papers receiving 166 citations
Peers
Comparison fields: 5 of 29
- Information Systems 135
- Software 22
- Signal Processing 48
- Computer Networks and Communications 45
- Artificial Intelligence 41
Countries citing papers authored by Katja Tuma
This map shows the geographic impact of Katja Tuma'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 Katja Tuma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katja Tuma more than expected).
Fields of papers citing papers by Katja Tuma
This network shows the impact of papers produced by Katja Tuma. 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 Katja Tuma. The network helps show where Katja Tuma may publish in the future.
Co-authors
The 25 scholars most cited alongside Katja Tuma, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 61 | |
| 2 | 2019 | 20 | |
| 3 | 2020 | 20 | |
| 4 | 2021 | 11 | |
| 5 | 2019 | 11 | |
| 6 | 2019 | 11 | |
| 7 | 2022 | 6 | |
| 8 | 2021 | 5 | |
| 9 | 2022 | 4 | |
| 10 | 2022 | 4 | |
| 11 | Efficiency and Automation in Threat Analysis of Software Systems | 2020 | 3 |
| 12 | 2023 | 2 | |
| 13 | 2025 | 2 | |
| 14 | 2025 | 2 | |
| 15 | 2025 | 2 | |
| 16 | 2022 | 2 | |
| 17 | 2023 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2023 | 1 | |
| 20 | 2018 | 1 |
About Katja Tuma
Katja Tuma is a scholar working on Information Systems, Signal Processing, Artificial Intelligence, Software and Computer Networks and Communications, having authored 26 papers that have together received 170 indexed citations. Recurring topics across this work include Information and Cyber Security (14 papers), Software Engineering Research (12 papers), Advanced Malware Detection Techniques (9 papers), Software Reliability and Analysis Research (5 papers), Security and Verification in Computing (5 papers), Software Engineering Techniques and Practices (3 papers), Software System Performance and Reliability (2 papers) and Safety Systems Engineering in Autonomy (2 papers). The work is most often cited by research in Information Systems (135 citations), Software (22 citations), Signal Processing (48 citations), Computer Networks and Communications (45 citations) and Artificial Intelligence (41 citations). Katja Tuma has collaborated with scholars based in Netherlands, Sweden and Italy. Frequent co-authors include Riccardo Scandariato, Gül Çalıklı, Laurens Sion, Koen Yskout, Musard Balliu, Fabio Massacci, Daniel Strüber, Jan Jürjens, Romy van der Lee and Wouter Joosen. Their work appears in journals such as Empirical Software Engineering, IEEE Security & Privacy, Journal of Systems and Software, Risk Analysis and Computers & Security.
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.