Wilhelm Meding

1.3k total citations
47 papers, 404 citations indexed

About

Wilhelm Meding is a scholar working on Information Systems, Software and Computer Networks and Communications. According to data from OpenAlex, Wilhelm Meding has authored 47 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Information Systems, 26 papers in Software and 11 papers in Computer Networks and Communications. Recurrent topics in Wilhelm Meding's work include Software Engineering Research (41 papers), Software Reliability and Analysis Research (25 papers) and Software Engineering Techniques and Practices (25 papers). Wilhelm Meding is often cited by papers focused on Software Engineering Research (41 papers), Software Reliability and Analysis Research (25 papers) and Software Engineering Techniques and Practices (25 papers). Wilhelm Meding collaborates with scholars based in Sweden, Poland and Denmark. Wilhelm Meding's co-authors include Miroslaw Staron, Christer Nilsson, Jörgen Hansson, Martin Nilsson, Mirosław Ochodek, Christian Berger, Regina Hebig, Agneta Nilsson, Fredrik Törner and Eric Knauss and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Software and Journal of Systems and Software.

In The Last Decade

Wilhelm Meding

46 papers receiving 367 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wilhelm Meding Sweden 12 333 224 77 66 42 47 404
Reinhold Plösch Austria 12 373 1.1× 259 1.2× 96 1.2× 121 1.8× 30 0.7× 54 479
Ronald B. Finkbine 1 309 0.9× 208 0.9× 81 1.1× 78 1.2× 34 0.8× 2 395
F. G. Wilkie United Kingdom 12 315 0.9× 154 0.7× 55 0.7× 117 1.8× 21 0.5× 30 352
Klaus Lochmann Germany 10 306 0.9× 180 0.8× 68 0.9× 101 1.5× 23 0.5× 17 345
Anna Maria Vollmer Germany 9 218 0.7× 85 0.4× 73 0.9× 80 1.2× 15 0.4× 12 330
Kristian Rautiainen Finland 11 254 0.8× 75 0.3× 68 0.9× 54 0.8× 19 0.5× 23 316
Linda Rosenberg United States 9 331 1.0× 197 0.9× 47 0.6× 130 2.0× 13 0.3× 20 392
Francisco Gomes de Oliveira Neto Sweden 10 243 0.7× 108 0.5× 69 0.9× 87 1.3× 8 0.2× 36 350
Stephany Bellomo United States 7 280 0.8× 82 0.4× 100 1.3× 73 1.1× 14 0.3× 19 336
Ghizlane El Boussaidi Canada 11 281 0.8× 142 0.6× 114 1.5× 116 1.8× 20 0.5× 42 378

Countries citing papers authored by Wilhelm Meding

Since Specialization
Citations

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

Fields of papers citing papers by Wilhelm Meding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wilhelm Meding

This figure shows the co-authorship network connecting the top 25 collaborators of Wilhelm Meding. A scholar is included among the top collaborators of Wilhelm Meding 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 Wilhelm Meding. Wilhelm Meding 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.
Staron, Miroslaw, et al.. (2024). Using Generative AI to Support Standardization Work – the Case of 3GPP. 201–209. 1 indexed citations
2.
Ochodek, Mirosław, Miroslaw Staron, Wilhelm Meding, & Jan Bosch. (2020). LegacyPro—A DNA-Inspired Method for Identifying Process Legacies in Software Development Organizations. IEEE Software. 37(6). 76–85. 1 indexed citations
3.
Staron, Miroslaw, et al.. (2020). Using Machine Learning to Identify Code Fragments for Manual Review. 513–516. 6 indexed citations
4.
Staron, Miroslaw, et al.. (2020). Selective Regression Testing based on Big Data: Comparing Feature Extraction Techniques. Chalmers Research (Chalmers University of Technology). 12. 322–329. 2 indexed citations
5.
Ochodek, Mirosław, Miroslaw Staron, & Wilhelm Meding. (2019). Simsax: A measure of project similarity based on symbolic approximation method and software defect inflow. Information and Software Technology. 115. 131–147. 8 indexed citations
6.
Ochodek, Mirosław, et al.. (2019). Recognizing lines of code violating company-specific coding guidelines using machine learning. Empirical Software Engineering. 25(1). 220–265. 11 indexed citations
7.
Staron, Miroslaw & Wilhelm Meding. (2018). Software Development Measurement Programs. 10 indexed citations
8.
Staron, Miroslaw, et al.. (2017). Industrial experiences from evolving measurement systems into self‐healing systems for improved availability. Software Practice and Experience. 48(3). 719–739. 2 indexed citations
9.
Ochodek, Mirosław, et al.. (2017). Using machine learning to design a flexible LOC counter. Chalmers Research (Chalmers University of Technology). 14–20. 6 indexed citations
10.
11.
Staron, Miroslaw, et al.. (2015). Identifying complex functions: By investigating various aspects of code complexity. Chalmers Research (Chalmers University of Technology). 879–888. 4 indexed citations
12.
Staron, Miroslaw, et al.. (2014). A Framework for Adoption of Machine Learning in Industry for Software Defect Prediction. 383–392. 15 indexed citations
13.
Staron, Miroslaw, et al.. (2014). Defining Technical Risks in Software Development. Chalmers Research (Chalmers University of Technology). 10. 66–71. 5 indexed citations
14.
Staron, Miroslaw, et al.. (2014). Monitoring Evolution of Code Complexity and Magnitude of Changes. Acta Cybernetica. 21(3). 367–382. 3 indexed citations
15.
Staron, Miroslaw, et al.. (2014). Consequences of Mispredictions of Software Reliability: A Model and its Industrial Evaluation. 157–162. 1 indexed citations
16.
Staron, Miroslaw, et al.. (2013). Monitoring Evolution of Code Complexity in Agile/Lean Software Development - A Case Study at Two Companies. Chalmers Research (Chalmers University of Technology). 1–15. 2 indexed citations
17.
Staron, Miroslaw & Wilhelm Meding. (2010). Defect Inflow Prediction in Large Software Projects. 4(1). 89–107. 7 indexed citations
18.
Staron, Miroslaw, et al.. (2010). Presenting Software Metrics Indicators: A Case Study. 4 indexed citations
19.
Staron, Miroslaw, et al.. (2010). A method for forecasting defect backlog in large streamline software development projects and its industrial evaluation. Information and Software Technology. 52(10). 1069–1079. 17 indexed citations
20.
Staron, Miroslaw & Wilhelm Meding. (2007). Predicting weekly defect inflow in large software projects based on project planning and test status. Information and Software Technology. 50(7-8). 782–796. 24 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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