Michael Giering
Impact in
- Media Technology top 10%
- Image Processing Techniques and Applications
-
- Advanced Vision and Imaging
Papers in
-
- Advanced Image Processing Techniques 2
- Advanced Vision and Imaging 2
- Context-Aware Activity Recognition Systems 1
- Co-authors
- K. Krishna Reddy (3 shared papers)Soumalya Sarkar (3 shared papers)Kin Gwn Lore (2 shared papers)Edgar A. Bernal (2 shared papers)Kishore Reddy (2 shared papers)Arvind U. Raghunathan (1 shared paper)Ashutosh Tewari (1 shared paper)Soumik Sarkar (2 shared papers)
- Journals
- Remote Sensing (1 paper)International Journal of Prognostics and Health Management (1 paper)Journal of Signal Processing Systems (1 paper)IFIP advances in information and communication technology (1 paper)Journal of Physics A Mathematical and General (1 paper)
- Partner nations
- United StatesIrelandPoland
In The Last Decade
Michael Giering
15 papers receiving 282 citations
Peers
Comparison fields: 5 of 72
- Media Technology 47
- Computer Vision and Pattern Recognition 88
- Statistics, Probability and Uncertainty 16
- Artificial Intelligence 73
- Control and Systems Engineering 48
Countries citing papers authored by Michael Giering
This map shows the geographic impact of Michael Giering'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 Michael Giering with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Giering more than expected).
Fields of papers citing papers by Michael Giering
This network shows the impact of papers produced by Michael Giering. 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 Michael Giering. The network helps show where Michael Giering may publish in the future.
Co-authors
The 19 scholars most cited alongside Michael Giering, 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 | 58 | |
| 2 | 2016 | 45 | |
| 3 | 2008 | 43 | |
| 4 | 2018 | 38 | |
| 5 | 2011 | 33 | |
| 6 | 2016 | 23 | |
| 7 | 2019 | 19 | |
| 8 | 2020 | 15 | |
| 9 | 2020 | 9 | |
| 10 | 2019 | 8 | |
| 11 | 2020 | 4 | |
| 12 | 2015 | 2 | |
| 13 | 2009 | 2 | |
| 14 | Deep Learning Human Activity Recognition | 2019 | 1 |
| 15 | 2001 | 1 |
About Michael Giering
Michael Giering is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Control and Systems Engineering and Marketing, having authored 15 papers that have together received 301 indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (2 papers), Advanced Vision and Imaging (2 papers), Fault Detection and Control Systems (2 papers), Customer churn and segmentation (2 papers), Robotics and Sensor-Based Localization (1 paper), Consumer Market Behavior and Pricing (1 paper), Infrastructure Maintenance and Monitoring (1 paper) and Context-Aware Activity Recognition Systems (1 paper). The work is most often cited by research in Media Technology (47 citations), Computer Vision and Pattern Recognition (88 citations), Statistics, Probability and Uncertainty (16 citations), Artificial Intelligence (73 citations) and Control and Systems Engineering (48 citations). Michael Giering has collaborated with scholars based in United States, Ireland and Poland. Frequent co-authors include K. Krishna Reddy, Soumalya Sarkar, Kin Gwn Lore, Edgar A. Bernal, Kishore Reddy, Arvind U. Raghunathan, Ashutosh Tewari, Soumik Sarkar, Navdeep Jaitly and Julian Ryde. Their work appears in journals such as Remote Sensing, International Journal of Prognostics and Health Management, Journal of Signal Processing Systems, IFIP advances in information and communication technology and Journal of Physics A Mathematical and General.
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.