Julia Rubin

3.7k citations
68 papers · 2.0k · 1 hit paper · h-index 22

Impact in

Papers in

    • Software Engineering Research 34
    • Software Engineering Techniques and Practices 11
    • Service-Oriented Architecture and Web Services 10
    • Advanced Software Engineering Methodologies 23

Julia Rubin

65 papers receiving 2.0k citations

Julia Rubin's Hit Papers

Fairness definitions explained 2018 · 588 citations
5880+2+5Years since publication100200300400500

Peers

Julia Rubin
Comparison fields: 5 of 104
  • Software 561
  • Health Informatics 73
  • Information Systems 1.2k
  • Safety Research 385
  • Artificial Intelligence 1.1k
Replace Michael Hind with:
Michael Hind United States
Diptikalyan Saha India
Zhangyin Feng China
Πάνος Λουρίδας Greece
Filomena Ferrucci Italy
Christoph Treude Australia
Fabiano Dalpiaz Netherlands
Ting Liu China
Eirini Kalliamvakou Canada
Roberto V. Zicari Germany
Julia Rubin relative to Michael Hind United States Michael Hind's profile →
Citations per field
00.5×1.5×2.3×
Michael Hind · 1×
Citations per year

Countries citing papers authored by Julia Rubin

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Julia Rubin Line = papers co-authored together Julia Rubin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Fairness definitions explained
Hit paper breakdown →
2018588
2 2013182
3 2006129
4 201596
5 201389
6 201858
7 202151
8 201949
9 201348
10
A Bayesian approach to privacy enforcement in smartphones
201444
11 201242
12 201441
13 201937
14 202237
15 201736
16 201335
17 202334
18 201630
19 201729
20 201524

About Julia Rubin

Julia Rubin is a scholar working on Information Systems, Artificial Intelligence, Software, Computer Networks and Communications and Signal Processing, having authored 68 papers that have together received 2.0k indexed citations. Recurring topics across this work include Software Engineering Research (34 papers), Advanced Software Engineering Methodologies (23 papers), Software Testing and Debugging Techniques (21 papers), Advanced Malware Detection Techniques (15 papers), Software System Performance and Reliability (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 (561 citations), Health Informatics (73 citations), Information Systems (1.2k citations), Safety Research (385 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, Thorsten Berger, Martin Becker, Yi Li, Yael Dubinsky, Slawomir Duszynski, Karthik Pattabiraman and Omer Tripp. Their work appears in journals such as ACM Computing Surveys, IEEE Transactions on Software Engineering, Empirical Software Engineering, Systematic Biology and International Journal on Software Tools for Technology Transfer.

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.

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