Christopher Oezbek
Impact in
- Human-Computer Interaction top 2%
- Innovative Human-Technology Interaction
- Virtual Reality Applications and Impacts
- Interactive and Immersive Displays
- Usability and User Interface Design
Papers in ⓘ
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- Software Engineering Techniques and Practices 5
- Software Engineering Research 4
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- Open Source Software Innovations 3
- Mobile Crowdsensing and Crowdsourcing 2
- Co-authors
- Maribeth Gandy (3 shared papers)Jay David Bolter (3 shared papers)Steven P. Dow (3 shared papers)Blair MacIntyre (2 shared papers)J. Lee (1 shared paper)Lutz Prechelt (4 shared papers)Florian Thiel (2 shared papers)P. S. Hewlett (1 shared paper)
- Journals
- IEEE Pervasive Computing (1 paper)Empirical Software Engineering (1 paper)Current Psychology (1 paper)PPIG (1 paper)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Christopher Oezbek
11 papers receiving 325 citations
Peers
Comparison fields: 5 of 70
- Human-Computer Interaction 177
- Computer Science Applications 67
- Computer Vision and Pattern Recognition 105
- Information Systems 90
- Museology 11
Countries citing papers authored by Christopher Oezbek
This map shows the geographic impact of Christopher Oezbek'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 Christopher Oezbek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Oezbek more than expected).
Fields of papers citing papers by Christopher Oezbek
This network shows the impact of papers produced by Christopher Oezbek. 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 Christopher Oezbek. The network helps show where Christopher Oezbek may publish in the future.
Co-authors
The 8 scholars most cited alongside Christopher Oezbek, 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 | 2005 | 131 | |
| 2 | 2005 | 75 | |
| 3 | 2010 | 56 | |
| 4 | 2005 | 49 | |
| 5 | 2007 | 15 | |
| 6 | 2010 | 7 | |
| 7 | 2011 | 5 | |
| 8 | 2007 | 3 | |
| 9 | 2007 | 1 | |
| 10 | Project Kick-off with Distributed Pair Programming. | 2010 | 1 |
| 11 | 2012 | 1 | |
| 12 | Radicality and the Open Source Development Model | 2010 | 0 |
About Christopher Oezbek
Christopher Oezbek is a scholar working on Information Systems, Computer Science Applications, Computer Vision and Pattern Recognition, Human-Computer Interaction and Artificial Intelligence, having authored 12 papers that have together received 344 indexed citations. Recurring topics across this work include Software Engineering Techniques and Practices (5 papers), Software Engineering Research (4 papers), Open Source Software Innovations (3 papers), Augmented Reality Applications (3 papers), Advanced Software Engineering Methodologies (2 papers), Context-Aware Activity Recognition Systems (2 papers), Interactive and Immersive Displays (2 papers) and Mobile Crowdsensing and Crowdsourcing (2 papers). The work is most often cited by research in Human-Computer Interaction (177 citations), Computer Science Applications (67 citations), Computer Vision and Pattern Recognition (105 citations), Information Systems (90 citations) and Museology (11 citations). Christopher Oezbek has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Maribeth Gandy, Jay David Bolter, Steven P. Dow, Blair MacIntyre, J. Lee, Lutz Prechelt, Florian Thiel and P. S. Hewlett. Their work appears in journals such as IEEE Pervasive Computing, Empirical Software Engineering, Current Psychology and PPIG.
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.