Markus Krause
Impact in
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- Mobile Crowdsensing and Crowdsourcing
- Open Source Software Innovations
- Dermatology top 2%
- Hidradenitis Suppurativa and Treatments
- Dermatology and Skin Diseases
Papers in
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- Natural Language Processing Techniques 5
- Topic Modeling 4
- Data Stream Mining Techniques 4
- Artificial Intelligence in Games 3
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- Mobile Crowdsensing and Crowdsourcing 13
- Open Source Software Innovations 5
- Online Learning and Analytics 4
- Co-authors
- Wolfram Sterry (2 shared papers)Sylke Schneider‐Burrus (2 shared papers)Rainer Malaka (4 shared papers)Hans‐Dieter Volk (1 shared paper)Conny Hoeflich (1 shared paper)Katarzyna Warszawska (1 shared paper)Ansgar Lukowsky (1 shared paper)Ellen Witte (1 shared paper)
- Journals
- JDDG Journal der Deutschen Dermatologischen Gesellschaft (1 paper)The Journal of Immunology (1 paper)AI Magazine (1 paper)IEEE Access (1 paper)IEEE Transactions on Learning Technologies (1 paper)
- Partner nations
- GermanyUnited StatesIreland
In The Last Decade
Markus Krause
32 papers receiving 549 citations
Peers
Comparison fields: 5 of 93
- Computer Science Applications 158
- Dermatology 218
- Human-Computer Interaction 56
- Rehabilitation 23
- Developmental and Educational Psychology 34
Countries citing papers authored by Markus Krause
This map shows the geographic impact of Markus Krause'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 Krause with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Krause more than expected).
Fields of papers citing papers by Markus Krause
This network shows the impact of papers produced by Markus Krause. 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 Krause. The network helps show where Markus Krause may publish in the future.
Co-authors
The 25 scholars most cited alongside Markus Krause, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 215 | |
| 2 | 2011 | 64 | |
| 3 | 2010 | 46 | |
| 4 | 2017 | 44 | |
| 5 | 2007 | 31 | |
| 6 | 2011 | 16 | |
| 7 | 2016 | 14 | |
| 8 | 2016 | 13 | |
| 9 | Predicting Crowd-Based Translation Quality with Language-Independent Feature Vectors. | 2012 | 11 |
| 10 | 2010 | 11 | |
| 11 | 2014 | 11 | |
| 12 | 2014 | 10 | |
| 13 | 2015 | 9 | |
| 14 | 2015 | 8 | |
| 15 | 2015 | 8 | |
| 16 | 2009 | 7 | |
| 17 | 2011 | 7 | |
| 18 | 2018 | 5 | |
| 19 | 2013 | 5 | |
| 20 | 2009 | 4 |
About Markus Krause
Markus Krause is a scholar working on Artificial Intelligence, Computer Science Applications, Sociology and Political Science, Information Systems and Computer Vision and Pattern Recognition, having authored 32 papers that have together received 567 indexed citations. Recurring topics across this work include Mobile Crowdsensing and Crowdsourcing (13 papers), Natural Language Processing Techniques (5 papers), Open Source Software Innovations (5 papers), Topic Modeling (4 papers), Data Stream Mining Techniques (4 papers), Online Learning and Analytics (4 papers), Artificial Intelligence in Games (3 papers) and Data Visualization and Analytics (3 papers). The work is most often cited by research in Computer Science Applications (158 citations), Dermatology (218 citations), Human-Computer Interaction (56 citations), Rehabilitation (23 citations) and Developmental and Educational Psychology (34 citations). Markus Krause has collaborated with scholars based in Germany, United States and Ireland. Frequent co-authors include Wolfram Sterry, Sylke Schneider‐Burrus, Rainer Malaka, Hans‐Dieter Volk, Conny Hoeflich, Katarzyna Warszawska, Ansgar Lukowsky, Ellen Witte, Katrin Witte and Stefanie Kunz. Their work appears in journals such as JDDG Journal der Deutschen Dermatologischen Gesellschaft, The Journal of Immunology, AI Magazine, IEEE Access and IEEE Transactions on Learning Technologies.
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.