André Schekelmann
Impact in
- Software top 5%
- Software Reliability and Analysis Research
- Information Systems top 5%
- Software Engineering Techniques and Practices
- Software Engineering Research
- Information and Cyber Security
Papers in
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- Software Engineering Techniques and Practices 5
- Software Engineering Research 4
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- Advanced Software Engineering Methodologies 4
- Co-authors
- Daniel Matias Rosales Mendez (1 shared paper)Tayana Uchôa Conte (1 shared paper)Rodrigo Oliveira Spinola (1 shared paper)Stefan Wagner (1 shared paper)Rafael Prikladnicki (1 shared paper)Marcos Kalinowski (1 shared paper)
- Journals
- Empirical Software Engineering (1 paper)ACM Transactions on Software Engineering and Methodology (1 paper)Procedia Computer Science (1 paper)Research Portal (Queen's University Belfast) (1 paper)OPUS Publication Server of the University of Stuttgart (University of Stuttgart) (1 paper)
In The Last Decade
André Schekelmann
5 papers receiving 339 citations
Peers
Comparison fields: 5 of 41
- Software 72
- Information Systems 281
- Management Information Systems 62
- Computer Science Applications 22
- Artificial Intelligence 122
Countries citing papers authored by André Schekelmann
This map shows the geographic impact of André Schekelmann'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 André Schekelmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites André Schekelmann more than expected).
Fields of papers citing papers by André Schekelmann
This network shows the impact of papers produced by André Schekelmann. 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 André Schekelmann. The network helps show where André Schekelmann may publish in the future.
Co-authors
The 6 scholars most cited alongside André Schekelmann, 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 | 2016 | 212 | |
| 2 | 2019 | 87 | |
| 3 | 2018 | 32 | |
| 4 | 2015 | 20 | |
| 5 | 2022 | 2 | |
| 6 | 2016 | 0 |
About André Schekelmann
André Schekelmann is a scholar working on Information Systems, Artificial Intelligence, Human-Computer Interaction, Management Information Systems and Computer Vision and Pattern Recognition, having authored 6 papers that have together received 353 indexed citations. Recurring topics across this work include Software Engineering Techniques and Practices (5 papers), Advanced Software Engineering Methodologies (4 papers), Software Engineering Research (4 papers), IoT Networks and Protocols (1 paper), Usability and User Interface Design (1 paper), IoT and Edge/Fog Computing (1 paper), Video Surveillance and Tracking Methods (1 paper) and Information Technology Governance and Strategy (1 paper). The work is most often cited by research in Software (72 citations), Information Systems (281 citations), Management Information Systems (62 citations), Computer Science Applications (22 citations) and Artificial Intelligence (122 citations). André Schekelmann has collaborated with scholars based in Germany, Canada and Brazil. Frequent co-authors include Daniel Matias Rosales Mendez, Tayana Uchôa Conte, Rodrigo Oliveira Spinola, Stefan Wagner, Rafael Prikladnicki and Marcos Kalinowski. Their work appears in journals such as Empirical Software Engineering, ACM Transactions on Software Engineering and Methodology, Procedia Computer Science, Research Portal (Queen's University Belfast) and OPUS Publication Server of the University of Stuttgart (University of Stuttgart).
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.