Julia Rubin
Impact in
- Software top 0.5%
- Software Testing and Debugging Techniques
- Information Systems top 0.5%
- Software Engineering Research
- Service-Oriented Architecture and Web Services
- Software Engineering Techniques and Practices
Papers in
- Software 28
- Software Testing and Debugging Techniques 20
- Software Reliability and Analysis Research 9
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- Software Engineering Research 33
- Software Engineering Techniques and Practices 11
- Service-Oriented Architecture and Web Services 10
- Co-authors
- Sahil VermaMarsha ChećhikKrzysztof CzarneckiMartin BeckerThorsten BergerYi LiSlawomir DuszynskiYael Dubinsky
- Journals
- IEEE Transactions on Software Engineering (2 papers)ACM Computing Surveys (2 papers)Science of Computer Programming (1 paper)Automated Software Engineering (1 paper)Leukemia (1 paper)
- Partner nations
- CanadaUnited StatesIsrael
In The Last Decade
Julia Rubin
65 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Software 558
- Information Systems 1.2k
- Health Informatics 74
- Safety Research 372
- Artificial Intelligence 1.1k
Countries citing papers authored by Julia Rubin
This map shows the geographic impact of Julia Rubin'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 Julia Rubin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia Rubin more than expected).
Fields of papers citing papers by Julia Rubin
This network shows the impact of papers produced by Julia Rubin. 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 Julia Rubin. The network helps show where Julia Rubin may publish in the future.
Co-authors
The 25 scholars most cited alongside Julia Rubin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 3 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 3 | |
| 8 | 2022 | 2 | |
| 9 | 2021 | 11 | |
| 10 | 2019 | 35 | |
| 11 | 2018 | 20 | |
| 12 | 2018 | 2 | |
| 13 | 2018 | 58 | |
| 14 | 2017 | 4 | |
| 15 | A Bayesian approach to privacy enforcement in smartphones | 2014 | 44 |
| 16 | 2013 | 35 | |
| 17 | 2013 | 1 | |
| 18 | 2012 | 6 | |
| 19 | 2010 | 8 | |
| 20 | 1966 | 14 |
About Julia Rubin
Julia Rubin is a scholar working on Software, Information Systems, Signal Processing, Artificial Intelligence and Computer Networks and Communications, having authored 67 papers that have together received 2.0k indexed citations. Recurring topics across this work include Software Engineering Research (33 papers), Advanced Software Engineering Methodologies (23 papers), Software Testing and Debugging Techniques (20 papers), Software System Performance and Reliability (14 papers), Advanced Malware Detection Techniques (14 papers), Software Engineering Techniques and Practices (11 papers), Service-Oriented Architecture and Web Services (10 papers) and Software Reliability and Analysis Research (9 papers). The work is most often cited by research in Software (558 citations), Information Systems (1.2k citations), Health Informatics (74 citations), Safety Research (372 citations) and Artificial Intelligence (1.1k citations). Julia Rubin has collaborated with scholars based in Canada, United States and Israel. Frequent co-authors include Sahil Verma, Marsha Chećhik, Krzysztof Czarnecki, Martin Becker, Thorsten Berger, Yi Li, Slawomir Duszynski, Yael Dubinsky, Omer Tripp and Karthik Pattabiraman. Their work appears in journals such as IEEE Transactions on Software Engineering, ACM Computing Surveys, Science of Computer Programming, Automated Software Engineering and Leukemia.
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.