Joerg Doerr

995 total citations
39 papers, 479 citations indexed

About

Joerg Doerr is a scholar working on Information Systems, Artificial Intelligence and Management Information Systems. According to data from OpenAlex, Joerg Doerr has authored 39 papers receiving a total of 479 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Information Systems, 18 papers in Artificial Intelligence and 11 papers in Management Information Systems. Recurrent topics in Joerg Doerr's work include Software Engineering Techniques and Practices (20 papers), Advanced Software Engineering Methodologies (16 papers) and Service-Oriented Architecture and Web Services (13 papers). Joerg Doerr is often cited by papers focused on Software Engineering Techniques and Practices (20 papers), Advanced Software Engineering Methodologies (16 papers) and Service-Oriented Architecture and Web Services (13 papers). Joerg Doerr collaborates with scholars based in Germany, Spain and Japan. Joerg Doerr's co-authors include Eduard C. Groen, Norbert Seyff, Thomas Olsson, Raian Ali, Marc Oriol, Emitzá Guzmán, Fabiano Dalpiaz, Jordi Marco, Anna Perini and Mahmood Hosseini and has published in prestigious journals such as Proceedings of the IEEE, IEEE Software and Lecture notes in computer science.

In The Last Decade

Joerg Doerr

38 papers receiving 448 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joerg Doerr Germany 11 358 198 90 73 48 39 479
Maleknaz Nayebi Canada 12 411 1.1× 150 0.8× 112 1.2× 41 0.6× 68 1.4× 39 520
Julio Ariel Hurtado Alegría Colombia 11 287 0.8× 129 0.7× 43 0.5× 68 0.9× 77 1.6× 56 409
Manuel F. Bertoa Spain 10 242 0.7× 166 0.8× 50 0.6× 64 0.9× 85 1.8× 18 418
Pär Carlshamre Sweden 10 502 1.4× 238 1.2× 58 0.6× 57 0.8× 48 1.0× 15 583
Çiğdem Gencel Italy 13 440 1.2× 103 0.5× 68 0.8× 87 1.2× 74 1.5× 29 538
Fatma Başak Aydemir Netherlands 9 286 0.8× 224 1.1× 24 0.3× 53 0.7× 50 1.0× 29 437
Carme Quer Spain 14 392 1.1× 297 1.5× 36 0.4× 76 1.0× 88 1.8× 49 486
M. Aoyama Japan 9 212 0.6× 104 0.5× 26 0.3× 45 0.6× 34 0.7× 32 312
A.M. Davis United States 6 297 0.8× 140 0.7× 33 0.4× 61 0.8× 38 0.8× 7 370
María Cecilia Bastarrica Chile 15 424 1.2× 258 1.3× 88 1.0× 89 1.2× 115 2.4× 56 612

Countries citing papers authored by Joerg Doerr

Since Specialization
Citations

This map shows the geographic impact of Joerg Doerr'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 Joerg Doerr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joerg Doerr more than expected).

Fields of papers citing papers by Joerg Doerr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joerg Doerr. 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 Joerg Doerr. The network helps show where Joerg Doerr may publish in the future.

Co-authorship network of co-authors of Joerg Doerr

This figure shows the co-authorship network connecting the top 25 collaborators of Joerg Doerr. A scholar is included among the top collaborators of Joerg Doerr 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 Joerg Doerr. Joerg Doerr 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.
Groen, Eduard C., et al.. (2024). Towards Crowd-Based Requirements Engineering for Digital Farming (CrowdRE4DF). Fraunhofer-Publica (Fraunhofer-Gesellschaft). 457–465.
2.
Doerr, Joerg, et al.. (2023). Interoperabilität im Digital Farming – Status quo und zukünftige Herausforderungen. Informatik-Spektrum. 46(1). 36–45. 1 indexed citations
3.
Doerr, Joerg, et al.. (2018). RE and Society - A Perspective on RE in Times of Smart Cities and Smart Rural Areas. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 100–111. 8 indexed citations
4.
Kikuchi, Shinji, et al.. (2018). Orchestration of IoT Device and Business Workflow Engine on Cloud. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 1–2. 3 indexed citations
5.
Doerr, Joerg, et al.. (2017). How to Make Use of Empirical Knowledge About Testers’ Information Needs. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 327–330. 5 indexed citations
6.
Groen, Eduard C., et al.. (2017). Users — The Hidden Software Product Quality Experts?: A Study on How App Users Report Quality Aspects in Online Reviews. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 80–89. 43 indexed citations
7.
Fang, Miao, et al.. (2016). Multi-variability modeling and realization for software derivation in industrial automation management. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 2–12. 5 indexed citations
8.
Fang, Miao, et al.. (2015). Towards model-based derivation of systems in the industrial automation domain. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 283–292. 6 indexed citations
9.
Penzenstadler, Birgit, Anne Persson, Maya Daneva, et al.. (2014). Joint Proceedings of REFSQ-2014 Workshops, Doctoral Symposium, Empirical Track, and Posters. 1 indexed citations
10.
Bjarnason, Elizabeth, et al.. (2014). Reflecting on Evidence-Based Timelines. IEEE Software. 31(4). 37–43. 12 indexed citations
11.
Fang, Miao, et al.. (2013). Experiences During Extraction of Variability Models for Warehouse Management Systems. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 111–116. 3 indexed citations
12.
Doerr, Joerg & Andreas L. Opdahl. (2013). Requirements Engineering: Foundation for Software Quality. Lecture notes in computer science. 4 indexed citations
13.
Neisse, Ricardo & Joerg Doerr. (2013). Model-based specification and refinement of usage control policies. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 4734. 169–176. 11 indexed citations
14.
Doerr, Joerg, et al.. (2012). What you need is what you get!: The vision of view-based requirements specifications. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 2006. 171–180. 15 indexed citations
15.
Mueller, Mark W., et al.. (2010). An Experimental Comparison Regarding the Completeness of Functional Requirements Specifications. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 15–24. 21 indexed citations
16.
Doerr, Joerg, et al.. (2009). Using Task-oriented Requirements Engineering in Different Domains Experiences with Application in Research and Industry. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 267–272. 12 indexed citations
17.
Doerr, Joerg, et al.. (2009). Lessons Learned from Best Practice-Oriented Process Improvement in Requirements Engineering: A Glance into Current Industrial RE Application. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 1–5. 7 indexed citations
18.
Doerr, Joerg, et al.. (2008). Supporting requirements engineering for medical products. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 639–648. 7 indexed citations
19.
Villela, Karina, et al.. (2008). Proactively Managing the Evolution of Embedded System Requirements. 2319. 13–22. 4 indexed citations
20.
Doerr, Joerg, et al.. (2005). Non-functional requirements in industry - three case studies adopting an experience-based NFR method. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 59 indexed citations

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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