Philipp Diebold
Impact in
- Information Systems top 2%
- Software Engineering Techniques and Practices
- Software Engineering Research
- Software top 5%
- Software Reliability and Analysis Research
Papers in
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- Software Engineering Techniques and Practices 34
- Software Engineering Research 27
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- Business Process Modeling and Analysis 6
- Big Data and Business Intelligence 4
- Co-authors
- Jürgen Münch (11 shared papers)Marco Kuhrmann (11 shared papers)Paolo Tell (5 shared papers)Oliver Linssen (5 shared papers)Christian R. Prause (5 shared papers)Michael Felderer (3 shared papers)Fergal McCaffery (3 shared papers)Vahid Garousi (3 shared papers)
In The Last Decade
Philipp Diebold
37 papers receiving 424 citations
Peers
Comparison fields: 5 of 43
- Information Systems 368
- Software 57
- Computer Science Applications 62
- Management Information Systems 80
- Management of Technology and Innovation 39
Countries citing papers authored by Philipp Diebold
This map shows the geographic impact of Philipp Diebold'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 Philipp Diebold with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philipp Diebold more than expected).
Fields of papers citing papers by Philipp Diebold
This network shows the impact of papers produced by Philipp Diebold. 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 Philipp Diebold. The network helps show where Philipp Diebold may publish in the future.
Co-authors
The 25 scholars most cited alongside Philipp Diebold, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 103 | |
| 2 | 2014 | 45 | |
| 3 | 2018 | 39 | |
| 4 | 2016 | 38 | |
| 5 | 2018 | 20 | |
| 6 | 2013 | 14 | |
| 7 | 2019 | 14 | |
| 8 | 2015 | 12 | |
| 9 | 2017 | 12 | |
| 10 | 2016 | 12 | |
| 11 | 2015 | 11 | |
| 12 | 2023 | 10 | |
| 13 | 2017 | 9 | |
| 14 | 2014 | 9 | |
| 15 | 2019 | 8 | |
| 16 | 2017 | 8 | |
| 17 | 2018 | 8 | |
| 18 | Nachhaltige Agile Transition: Symbiose von technischer und kultureller Agilität | 2015 | 6 |
| 19 | 2018 | 6 | |
| 20 | 2017 | 6 |
About Philipp Diebold
Philipp Diebold is a scholar working on Information Systems, Management Information Systems, Computer Networks and Communications, Artificial Intelligence and Computer Science Applications, having authored 41 papers that have together received 436 indexed citations. Recurring topics across this work include Software Engineering Techniques and Practices (34 papers), Software Engineering Research (27 papers), Software System Performance and Reliability (9 papers), Business Process Modeling and Analysis (6 papers), Advanced Software Engineering Methodologies (6 papers), Open Source Software Innovations (4 papers), Software Reliability and Analysis Research (4 papers) and Big Data and Business Intelligence (4 papers). The work is most often cited by research in Information Systems (368 citations), Software (57 citations), Computer Science Applications (62 citations), Management Information Systems (80 citations) and Management of Technology and Innovation (39 citations). Philipp Diebold has collaborated with scholars based in Germany, Denmark and Spain. Frequent co-authors include Jürgen Münch, Marco Kuhrmann, Paolo Tell, Oliver Linssen, Christian R. Prause, Michael Felderer, Fergal McCaffery, Vahid Garousi, Davide Taibi and Norbert Seyff. Their work appears in journals such as IEEE Software, PeerJ Computer Science, Journal of Industrial Information Integration, Journal of Software Evolution and Process and Computer Science and Information Systems.
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.