Markus Bayer
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Sentiment Analysis and Opinion Mining
- Text and Document Classification Technologies
Papers in
-
- Information and Cyber Security 3
- Software Engineering Research 3
-
- Optical measurement and interference techniques 2
- Co-authors
- Christian Reuter (9 shared papers)Marc–André Kaufhold (5 shared papers)Marcel Keller (1 shared paper)Björn Buchhold (1 shared paper)Tobias Frey (1 shared paper)Daniel Carl (2 shared papers)Tobias Beckmann (2 shared papers)Wolfgang Schneider (1 shared paper)
- Journals
- Information Processing & Management (1 paper)ACM Computing Surveys (1 paper)ACM Transactions on Privacy and Security (1 paper)Computers & Security (1 paper)Applied Optics (1 paper)
- Partner nations
- Germany
In The Last Decade
Markus Bayer
11 papers receiving 448 citations
Markus Bayer's Hit Papers
Peers
Comparison fields: 5 of 89
- Artificial Intelligence 283
- Health Informatics 9
- Communication 41
- Information Systems 102
- Signal Processing 44
Countries citing papers authored by Markus Bayer
This map shows the geographic impact of Markus Bayer'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 Markus Bayer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Bayer more than expected).
Fields of papers citing papers by Markus Bayer
This network shows the impact of papers produced by Markus Bayer. 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 Markus Bayer. The network helps show where Markus Bayer may publish in the future.
Co-authors
The 13 scholars most cited alongside Markus Bayer, 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 | A Survey on Data Augmentation for Text Classification Hit paper breakdown → | 2022 | 233 |
| 2 | 2022 | 77 | |
| 3 | 2019 | 63 | |
| 4 | 2024 | 25 | |
| 5 | 2019 | 23 | |
| 6 | 2023 | 14 | |
| 7 | 2021 | 12 | |
| 8 | 2024 | 9 | |
| 9 | 2021 | 3 | |
| 10 | 2019 | 3 | |
| 11 | 2018 | 1 |
About Markus Bayer
Markus Bayer is a scholar working on Information Systems, Computer Vision and Pattern Recognition, Artificial Intelligence, Sociology and Political Science and Atomic and Molecular Physics, and Optics, having authored 11 papers that have together received 463 indexed citations. Recurring topics across this work include Information and Cyber Security (3 papers), Topic Modeling (3 papers), Software Engineering Research (3 papers), Optical measurement and interference techniques (2 papers), Misinformation and Its Impacts (2 papers), Data Quality and Management (2 papers), Natural Language Processing Techniques (2 papers) and Digital Holography and Microscopy (2 papers). The work is most often cited by research in Artificial Intelligence (283 citations), Health Informatics (9 citations), Communication (41 citations), Information Systems (102 citations) and Signal Processing (44 citations). Markus Bayer has collaborated with scholars based in Germany. Frequent co-authors include Christian Reuter, Marc–André Kaufhold, Marcel Keller, Björn Buchhold, Tobias Frey, Daniel Carl, Tobias Beckmann, Wolfgang Schneider, Reinhard Möller and Milad Mirbabaie. Their work appears in journals such as Information Processing & Management, ACM Computing Surveys, ACM Transactions on Privacy and Security, Computers & Security and Applied Optics.
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.