Michael Giering
Impact in
- Media Technology top 10%
- Image Processing Techniques and Applications
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- Advanced Vision and Imaging
Papers in
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- Advanced Image Processing Techniques 2
- Advanced Vision and Imaging 2
- Co-authors
- K. Krishna Reddy (3 shared papers)Soumalya Sarkar (3 shared papers)Edgar A. Bernal (2 shared papers)Kin Gwn Lore (2 shared papers)Kishore Reddy (2 shared papers)Ashutosh Tewari (1 shared paper)Arvind U. Raghunathan (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)AIAA Scitech 2019 Forum (1 paper)ACM SIGKDD Explorations Newsletter (1 paper)
- Partner nations
- United StatesIrelandPoland
In The Last Decade
Michael Giering
13 papers receiving 259 citations
Peers
Comparison fields: 5 of 68
- Media Technology 45
- Computer Vision and Pattern Recognition 80
- Statistics, Probability and Uncertainty 16
- Artificial Intelligence 65
- Signal Processing 21
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 18 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 | 53 | |
| 2 | 2016 | 41 | |
| 3 | 2008 | 38 | |
| 4 | 2018 | 36 | |
| 5 | 2011 | 32 | |
| 6 | 2016 | 22 | |
| 7 | 2019 | 19 | |
| 8 | 2020 | 13 | |
| 9 | 2020 | 9 | |
| 10 | 2019 | 7 | |
| 11 | 2020 | 3 | |
| 12 | 2015 | 2 | |
| 13 | 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 Mechanical Engineering, having authored 13 papers that have together received 276 indexed citations. Recurring topics across this work include Fault Detection and Control Systems (2 papers), Advanced Image Processing Techniques (2 papers), Advanced Vision and Imaging (2 papers), Innovation Diffusion and Forecasting (1 paper), Statistical Methods and Bayesian Inference (1 paper), Image Processing Techniques and Applications (1 paper), Robotics and Sensor-Based Localization (1 paper) and Additive Manufacturing Materials and Processes (1 paper). The work is most often cited by research in Media Technology (45 citations), Computer Vision and Pattern Recognition (80 citations), Statistics, Probability and Uncertainty (16 citations), Artificial Intelligence (65 citations) and Signal Processing (21 citations). Michael Giering has collaborated with scholars based in United States, Ireland and Poland. Frequent co-authors include K. Krishna Reddy, Soumalya Sarkar, Edgar A. Bernal, Kin Gwn Lore, Kishore Reddy, Ashutosh Tewari, Arvind U. Raghunathan, Soumik Sarkar, Julian Ryde and Navdeep Jaitly. Their work appears in journals such as Remote Sensing, International Journal of Prognostics and Health Management, Journal of Signal Processing Systems, AIAA Scitech 2019 Forum and ACM SIGKDD Explorations Newsletter.
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.