Janet Feigenspan
- Information Systems top 2%
- Artificial Intelligence top 5%
- Software top 5%
- Computer Networks and Communications top 10%
- Computer Science Applications top 10%
- Co-authors
- Christian KästnerSven ApelThomas LeichGunter SaakeJörg LiebigRaimund DachseltThomas ThümStefan Hanenberg
- Topics
- Advanced Software Engineering Methodologies (16 papers)Software Engineering Research (14 papers)Software System Performance and Reliability (7 papers)
- Journals
- Empirical Software EngineeringIET SoftwareFraunhofer-Publica (Fraunhofer-Gesellschaft)
- Partner nations
- GermanyUnited States
In The Last Decade
Janet Feigenspan
18 papers receiving 387 citations
Peers
Comparison fields: 5 of 34
- Information Systems 357
- Artificial Intelligence 288
- Software 137
- Computer Networks and Communications 104
- Computer Science Applications 47
Countries citing papers authored by Janet Feigenspan
This map shows the geographic impact of Janet Feigenspan'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 Janet Feigenspan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Janet Feigenspan more than expected).
Fields of papers citing papers by Janet Feigenspan
This network shows the impact of papers produced by Janet Feigenspan. 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 Janet Feigenspan. The network helps show where Janet Feigenspan may publish in the future.
Co-authorship network of co-authors of Janet Feigenspan
This figure shows the co-authorship network connecting the top 25 collaborators of Janet Feigenspan. A scholar is included among the top collaborators of Janet Feigenspan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Janet Feigenspan. Janet Feigenspan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 69 | |
| 3 | 71 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 5 | |
| 8 | On the Role of Program Comprehension in Embedded Systems. | 5 |
| 9 | 5 | |
| 10 | 12 | |
| 11 | 24 | |
| 12 | 29 | |
| 13 | 19 | |
| 14 | 4 | |
| 15 | 10 | |
| 16 | 136 | |
| 17 | 14 | |
| 18 | How to Compare Program Comprehension in FOSD Empirically – An Experience Report | 2 |
About Janet Feigenspan
Janet Feigenspan is a scholar working on Software, Information Systems and Artificial Intelligence, having authored 18 papers that have together received 418 indexed citations. Recurring topics across this work include Advanced Software Engineering Methodologies (16 papers), Software Engineering Research (14 papers) and Software System Performance and Reliability (7 papers). The work is most often cited by research in Software (137 citations), Information Systems (357 citations) and Artificial Intelligence (288 citations). Janet Feigenspan has collaborated with scholars based in Germany and United States. Frequent co-authors include Christian Kästner, Sven Apel, Thomas Leich, Gunter Saake, Jörg Liebig, Raimund Dachselt, Thomas Thüm, Stefan Hanenberg, Michael Schulze and Mathias Frisch. Their work appears in journals such as Empirical Software Engineering, IET Software and Fraunhofer-Publica (Fraunhofer-Gesellschaft).
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.