Michaela Götz
Impact in
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- Mobile Crowdsensing and Crowdsourcing
- Artificial Intelligence top 5%
- Privacy-Preserving Technologies in Data
- Cryptography and Data Security
- Internet Traffic Analysis and Secure E-voting
Papers in
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- Privacy-Preserving Technologies in Data 4
- Algorithms and Data Compression 2
- Semantic Web and Ontologies 1
- Cryptography and Data Security 1
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- Advanced Database Systems and Queries 3
- Peer-to-Peer Network Technologies 2
- Co-authors
- Johannes Gehrke (5 shared papers)Raghav Kaushik (1 shared paper)Arvind Arasu (1 shared paper)Ashwin Machanavajjhala (2 shared papers)Suman Nath (1 shared paper)Xiaokui Xiao (1 shared paper)Guozhang Wang (1 shared paper)Christoph Koch (2 shared papers)
- Journals
- Information Systems (1 paper)IEEE Transactions on Knowledge and Data Engineering (1 paper)Proceedings of the VLDB Endowment (1 paper)Infoscience (Ecole Polytechnique Fédérale de Lausanne) (1 paper)International Conference on Management of Data (1 paper)
- Partner nations
- United StatesNorwaySingapore
In The Last Decade
Michaela Götz
8 papers receiving 319 citations
Peers
Comparison fields: 5 of 30
- Computer Science Applications 67
- Artificial Intelligence 283
- Management Science and Operations Research 108
- Transportation 29
- Information Systems 67
Countries citing papers authored by Michaela Götz
This map shows the geographic impact of Michaela Götz'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 Michaela Götz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michaela Götz more than expected).
Fields of papers citing papers by Michaela Götz
This network shows the impact of papers produced by Michaela Götz. 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 Michaela Götz. The network helps show where Michaela Götz may publish in the future.
Co-authors
The 9 scholars most cited alongside Michaela Götz, 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 | 2010 | 113 | |
| 2 | 2012 | 79 | |
| 3 | 2011 | 75 | |
| 4 | 2009 | 37 | |
| 5 | 2009 | 10 | |
| 6 | 2010 | 9 | |
| 7 | 2009 | 7 | |
| 8 | 2011 | 3 |
About Michaela Götz
Michaela Götz is a scholar working on Artificial Intelligence, Computer Networks and Communications, Sociology and Political Science, Signal Processing and Information Systems, having authored 8 papers that have together received 333 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (4 papers), Privacy, Security, and Data Protection (3 papers), Advanced Database Systems and Queries (3 papers), Data Management and Algorithms (2 papers), Peer-to-Peer Network Technologies (2 papers), Algorithms and Data Compression (2 papers), Semantic Web and Ontologies (1 paper) and Cryptography and Data Security (1 paper). The work is most often cited by research in Computer Science Applications (67 citations), Artificial Intelligence (283 citations), Management Science and Operations Research (108 citations), Transportation (29 citations) and Information Systems (67 citations). Michaela Götz has collaborated with scholars based in United States, Norway and Singapore. Frequent co-authors include Johannes Gehrke, Raghav Kaushik, Arvind Arasu, Ashwin Machanavajjhala, Suman Nath, Xiaokui Xiao, Guozhang Wang, Christoph Koch and Wim Martens. Their work appears in journals such as Information Systems, IEEE Transactions on Knowledge and Data Engineering, Proceedings of the VLDB Endowment, Infoscience (Ecole Polytechnique Fédérale de Lausanne) and International Conference on Management of Data.
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.