I. John
Impact in
- Software top 10%
- Model-Driven Software Engineering Techniques
- Software Testing and Debugging Techniques
- Information Systems top 5%
- Software Engineering Techniques and Practices
- Software Engineering Research
Papers in
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- Advanced Software Engineering Methodologies 7
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- Product Development and Customization 1
- Co-authors
- Marcus Ciolkowski (1 shared paper)Teade Punter (1 shared paper)Bernd Freimut (1 shared paper)Klaus Schmid (2 shared papers)Dirk Muthig (3 shared papers)Jens Knodel (3 shared papers)Andreas Birk (1 shared paper)Claudio de la Riva (1 shared paper)
- Journals
- IEEE Software (1 paper)International Software Product Line Conference (SPLC) (2 papers)Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft) (4 papers)Proceedings 25th EUROMICRO Conference. Informatics: Theory and Practice for the New Millennium (1 paper)Proceedings - Working Conference on Reverse Engineering (1 paper)
- Partner nations
- GermanySpainUnited States
In The Last Decade
I. John
9 papers receiving 315 citations
Peers
Comparison fields: 5 of 30
- Software 38
- Information Systems 161
- Artificial Intelligence 155
- Computer Science Applications 11
- Management of Technology and Innovation 7
Countries citing papers authored by I. John
This map shows the geographic impact of I. 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 I. John with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites I. John more than expected).
Fields of papers citing papers by I. John
This network shows the impact of papers produced by I. 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 I. John. The network helps show where I. John may publish in the future.
Co-authors
The 10 scholars most cited alongside I. 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
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 137 | |
| 2 | 2003 | 88 | |
| 3 | 2006 | 44 | |
| 4 | 2006 | 21 | |
| 5 | 2006 | 14 | |
| 6 | 2002 | 13 | |
| 7 | 2002 | 12 | |
| 8 | Generic variability management and its application to product line modelling | 2003 | 2 |
| 9 | Case Study of a Product Line Benefit and Risk Analysis | 2000 | 1 |
About I. John
I. John is a scholar working on Artificial Intelligence, Management of Technology and Innovation, Information Systems, Sociology and Political Science and Nuclear Energy and Engineering, having authored 9 papers that have together received 332 indexed citations. Recurring topics across this work include Advanced Software Engineering Methodologies (7 papers), Product Development and Customization (1 paper), Software Engineering Techniques and Practices (1 paper) and Survey Methodology and Nonresponse (1 paper). The work is most often cited by research in Software (38 citations), Information Systems (161 citations), Artificial Intelligence (155 citations), Computer Science Applications (11 citations) and Management of Technology and Innovation (7 citations). I. John has collaborated with scholars based in Germany, Spain and United States. Frequent co-authors include Marcus Ciolkowski, Teade Punter, Bernd Freimut, Klaus Schmid, Dirk Muthig, Jens Knodel, Andreas Birk, Claudio de la Riva, Dharmalingam Ganesan and Martin Pinzger. Their work appears in journals such as IEEE Software, International Software Product Line Conference (SPLC), Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft), Proceedings 25th EUROMICRO Conference. Informatics: Theory and Practice for the New Millennium and Proceedings - Working Conference on Reverse Engineering.
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.