Philipp Diebold

1.1k total citations
41 papers, 436 citations indexed

About

Philipp Diebold is a scholar working on Information Systems, Management Information Systems and Computer Networks and Communications. According to data from OpenAlex, Philipp Diebold has authored 41 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Information Systems, 11 papers in Management Information Systems and 9 papers in Computer Networks and Communications. Recurrent topics in Philipp Diebold's work include Software Engineering Techniques and Practices (34 papers), Software Engineering Research (27 papers) and Software System Performance and Reliability (9 papers). Philipp Diebold is often cited by papers focused on Software Engineering Techniques and Practices (34 papers), Software Engineering Research (27 papers) and Software System Performance and Reliability (9 papers). Philipp Diebold collaborates with scholars based in Germany, Denmark and Spain. Philipp Diebold's 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 and has published in prestigious journals such as IEEE Software, Journal of Industrial Information Integration and PeerJ Computer Science.

In The Last Decade

Philipp Diebold

37 papers receiving 424 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Philipp Diebold Germany 11 368 84 80 79 62 41 436
Martin Ivarsson Sweden 7 339 0.9× 44 0.5× 70 0.9× 108 1.4× 66 1.1× 12 409
Hiva Alahyari Sweden 8 246 0.7× 68 0.8× 69 0.9× 47 0.6× 66 1.1× 8 316
Jens Heidrich Germany 13 283 0.8× 65 0.8× 108 1.4× 93 1.2× 19 0.3× 29 433
Kristian Rautiainen Finland 11 254 0.7× 68 0.8× 55 0.7× 54 0.7× 38 0.6× 23 316
Manuel F. Bertoa Spain 10 242 0.7× 85 1.0× 64 0.8× 166 2.1× 50 0.8× 18 418
Michael Stupperich Germany 7 236 0.6× 51 0.6× 57 0.7× 65 0.8× 24 0.4× 7 281
Juan Pablo Carvallo Spain 10 352 1.0× 71 0.8× 89 1.1× 259 3.3× 30 0.5× 52 450
Barry Boehm United States 10 308 0.8× 68 0.8× 58 0.7× 73 0.9× 48 0.8× 41 416
Claude Y. Laporte Canada 14 492 1.3× 46 0.5× 143 1.8× 103 1.3× 70 1.1× 88 635
C. Jones United Kingdom 12 302 0.8× 61 0.7× 70 0.9× 93 1.2× 61 1.0× 22 442

Countries citing papers authored by Philipp Diebold

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Philipp Diebold

This figure shows the co-authorship network connecting the top 25 collaborators of Philipp Diebold. A scholar is included among the top collaborators of Philipp Diebold 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 Philipp Diebold. Philipp Diebold is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Diebold, Philipp. (2024). From Backlogs to Bots: Generative AI's Impact on Agile Role Evolution. Journal of Software Evolution and Process. 37(1).
2.
Neumann, Michael, et al.. (2024). Agile culture clash: Unveiling challenges in cultivating an agile mindset in organizations. Computer Science and Information Systems. 21(3). 1013–1031. 1 indexed citations
3.
Pfahl, Dietmar, et al.. (2019). How has SPI changed in times of agile development? Results from a multi‐method study. Journal of Software Evolution and Process. 31(11). 8 indexed citations
4.
Diebold, Philipp, et al.. (2018). Understanding information needs of agile teams to improve requirements communication. Journal of Industrial Information Integration. 14. 3–15. 20 indexed citations
5.
Diebold, Philipp, et al.. (2018). Scaling agile. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 1–4. 6 indexed citations
6.
Kuhrmann, Marco, Philipp Diebold, Jürgen Münch, et al.. (2018). Hybrid Software Development Approaches in Practice: A European Perspective. IEEE Software. 36(4). 20–31. 39 indexed citations
7.
Diebold, Philipp, et al.. (2018). How is agile development currently being used in regulated embedded domains?. Journal of Software Evolution and Process. 30(8). 8 indexed citations
8.
Diebold, Philipp, et al.. (2017). Weg vom unvollständigen Scrum! Hin zum vollständigeren „Scrum++". Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 25–34. 1 indexed citations
9.
Taibi, Davide, Valentina Lenarduzzi, Philipp Diebold, & Maria Ilaria Lunesu. (2017). Operationalizing the Experience Factory for Effort Estimation in Agile Processes. UNICA IRIS Institutional Research Information System (University of Cagliari). 31–40. 12 indexed citations
10.
Kuhrmann, Marco, Philipp Diebold, Jürgen Münch, et al.. (2017). Hybrid software and system development in practice: waterfall, scrum, and beyond. IT University Of Copenhagen (IT University of Copenhagen). 30–39. 103 indexed citations
11.
Diebold, Philipp, et al.. (2017). Towards Requirements Communication and Documentation Guidelines for Agile Teams. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 415–418. 8 indexed citations
12.
Diebold, Philipp, et al.. (2016). Why Do We Do Software Process Improvement? - Study on Commonly Used Goals in Practice.. 360–367. 1 indexed citations
13.
Diebold, Philipp, et al.. (2016). Software process models vs. descriptions. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 66–75. 2 indexed citations
14.
Diebold, Philipp, et al.. (2015). Nachhaltige Agile Transition: Symbiose von technischer und kultureller Agilität. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 121–126. 6 indexed citations
15.
Diebold, Philipp, Antonio Vetrò, & Daniel Méndez. (2015). An Exploratory Study on Technology Transfer in Software Engineering. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1–10. 11 indexed citations
16.
Diebold, Philipp, Darja Šmite, & Daniel Méndez. (2015). Results of the 1st International Workshop on Impact of Agile Practices (ImpAct 2015). ACM SIGSOFT Software Engineering Notes. 40(6). 20–23.
17.
Kuhrmann, Marco, et al.. (2015). Software process improvement: where is the evidence?: initial findings from a systematic mapping study. University of Southern Denmark Research Portal (University of Southern Denmark). 107–116. 12 indexed citations
18.
Diebold, Philipp, et al.. (2014). Supporting Technology Transfer by Providing Recommendations for Writing Structured Guidelines.. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 47–56. 4 indexed citations
19.
Diebold, Philipp, et al.. (2014). Evaluation in practice. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1–8. 1 indexed citations
20.

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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