Hendrik Meth
Impact in
-
- Open Source Software Innovations
- Human-Computer Interaction top 5%
- Usability and User Interface Design
- Persona Design and Applications
Papers in
-
- Software Engineering Techniques and Practices 5
- Software Engineering Research 3
- Cloud Computing and Resource Management 1
-
- Business Process Modeling and Analysis 3
- Big Data and Business Intelligence 2
- Co-authors
- Alexander Maedche (7 shared papers)Karl Werder (1 shared paper)Benjamin Mueller (2 shared papers)Ye Li (1 shared paper)Alexander Mädche (1 shared paper)
- Journals
- Journal of the Association for Information Systems (2 papers)Information and Software Technology (2 papers)IEEE Internet Computing (1 paper)MADOC (University of Mannheim) (2 papers)
- Partner nations
- GermanyNetherlands
In The Last Decade
Hendrik Meth
8 papers receiving 330 citations
Peers
Comparison fields: 5 of 76
- Computer Science Applications 64
- Human-Computer Interaction 56
- Information Systems 213
- Management Information Systems 57
- Software 23
Countries citing papers authored by Hendrik Meth
This map shows the geographic impact of Hendrik Meth'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 Hendrik Meth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hendrik Meth more than expected).
Fields of papers citing papers by Hendrik Meth
This network shows the impact of papers produced by Hendrik Meth. 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 Hendrik Meth. The network helps show where Hendrik Meth may publish in the future.
Co-authors
The 5 scholars most cited alongside Hendrik Meth, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 187 | |
| 2 | 2015 | 77 | |
| 3 | 2013 | 62 | |
| 4 | 2014 | 10 | |
| 5 | Cross-Functional Integration of Product Management and Product Design in Application Software Development: Exploration of Success Factors | 2011 | 6 |
| 6 | 2012 | 6 | |
| 7 | ADVANCING TASK ELICITATION SYSTEMS - AN EXPERIMENTAL EVALUATION OF DESIGN PRINCIPLES | 2012 | 2 |
| 8 | User-centered requirements elicitation for Business Intelligence solutions | 2010 | 1 |
About Hendrik Meth
Hendrik Meth is a scholar working on Information Systems, Management Information Systems, Computer Networks and Communications, Artificial Intelligence and Computer Science Applications, having authored 8 papers that have together received 351 indexed citations. Recurring topics across this work include Software Engineering Techniques and Practices (5 papers), Software Engineering Research (3 papers), Business Process Modeling and Analysis (3 papers), Open Source Software Innovations (2 papers), Usability and User Interface Design (2 papers), Big Data and Business Intelligence (2 papers), Advanced Software Engineering Methodologies (2 papers) and Cloud Computing and Resource Management (1 paper). The work is most often cited by research in Computer Science Applications (64 citations), Human-Computer Interaction (56 citations), Information Systems (213 citations), Management Information Systems (57 citations) and Software (23 citations). Hendrik Meth has collaborated with scholars based in Germany and Netherlands. Frequent co-authors include Alexander Maedche, Karl Werder, Benjamin Mueller, Ye Li and Alexander Mädche. Their work appears in journals such as Journal of the Association for Information Systems, Information and Software Technology, IEEE Internet Computing and MADOC (University of Mannheim).
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.