Isabel John
Impact in
- Software top 10%
- Model-Driven Software Engineering Techniques
- Information Systems top 5%
- Service-Oriented Architecture and Web Services
- Software Engineering Research
- Software Engineering Techniques and Practices
Papers in
-
- Software Engineering Research 7
- Software Engineering Techniques and Practices 7
- Service-Oriented Architecture and Web Services 6
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- Advanced Software Engineering Methodologies 15
- Co-authors
- Klaus Schmid (2 shared papers)Guido H. Wabnitz (2 shared papers)Yvonne Samstag (2 shared papers)Karina Villela (3 shared papers)Alessandro Fantechi (1 shared paper)Giuseppe Lami (2 shared papers)Stefania Gnesi (1 shared paper)Dirk Muthig (1 shared paper)
In The Last Decade
Isabel John
22 papers receiving 421 citations
Peers
Comparison fields: 5 of 79
- Software 50
- Information Systems 240
- Artificial Intelligence 248
- Computer Science Applications 24
- Human-Computer Interaction 19
Countries citing papers authored by Isabel John
This map shows the geographic impact of Isabel John'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 Isabel John with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Isabel John more than expected).
Fields of papers citing papers by Isabel John
This network shows the impact of papers produced by Isabel John. 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 Isabel John. The network helps show where Isabel John may publish in the future.
Co-authors
The 23 scholars most cited alongside Isabel John, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 139 | |
| 2 | 2013 | 87 | |
| 3 | 2009 | 45 | |
| 4 | 2010 | 35 | |
| 5 | 2020 | 18 | |
| 6 | 2006 | 16 | |
| 7 | 2013 | 16 | |
| 8 | 2004 | 15 | |
| 9 | 2010 | 13 | |
| 10 | 2019 | 12 | |
| 11 | 2022 | 10 | |
| 12 | 2010 | 7 | |
| 13 | 2002 | 6 | |
| 14 | Separation of Variability Dimension and Development Dimension. | 2007 | 5 |
| 15 | 2007 | 5 | |
| 16 | 2009 | 3 | |
| 17 | 2024 | 3 | |
| 18 | 2008 | 2 | |
| 19 | 2008 | 2 | |
| 20 | 2004 | 1 |
About Isabel John
Isabel John is a scholar working on Information Systems, Artificial Intelligence, Computer Science Applications, Developmental and Educational Psychology and Software, having authored 27 papers that have together received 443 indexed citations. Recurring topics across this work include Advanced Software Engineering Methodologies (15 papers), Software Engineering Research (7 papers), Software Engineering Techniques and Practices (7 papers), Service-Oriented Architecture and Web Services (6 papers), Educational Games and Gamification (4 papers), Product Development and Customization (3 papers), Online Learning and Analytics (3 papers) and Teaching and Learning Programming (3 papers). The work is most often cited by research in Software (50 citations), Information Systems (240 citations), Artificial Intelligence (248 citations), Computer Science Applications (24 citations) and Human-Computer Interaction (19 citations). Isabel John has collaborated with scholars based in Germany, Italy and Spain. Frequent co-authors include Klaus Schmid, Guido H. Wabnitz, Yvonne Samstag, Karina Villela, Alessandro Fantechi, Giuseppe Lami, Stefania Gnesi, Dirk Muthig, Jaejoon Lee and Stefan Alexander Oelmeier. Their work appears in journals such as Journal of Biological Chemistry, Immunological Reviews, Science of Computer Programming, IEEE Software and Brain Research.
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.