Michael Grubinger
Impact in
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- Advanced Image and Video Retrieval Techniques
- Image Retrieval and Classification Techniques
- Multimodal Machine Learning Applications
- Video Analysis and Summarization
- Video Surveillance and Tracking Methods
- Artificial Intelligence top 10%
- Domain Adaptation and Few-Shot Learning
- Text and Document Classification Technologies
Papers in
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- Image Retrieval and Classification Techniques 9
- Advanced Image and Video Retrieval Techniques 8
- Video Analysis and Summarization 3
- Multimodal Machine Learning Applications 3
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- Biomedical Text Mining and Ontologies 2
- Co-authors
- Paul Clough (6 shared papers)Henning Müller (3 shared papers)Luis Enrique Sucar (1 shared paper)Carlos Hernández (1 shared paper)Hugo Jair Escalante (1 shared paper)Jesús A. González (1 shared paper)Manuel Montes (1 shared paper)Aurelio López‐López (1 shared paper)
- Journals
- Computer Vision and Image Understanding (1 paper)Lecture notes in computer science (5 papers)CLEF (Working Notes) (1 paper)Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft) (1 paper)
- Partner nations
- United KingdomAustraliaSwitzerland
In The Last Decade
Michael Grubinger
9 papers receiving 552 citations
Peers
Comparison fields: 5 of 34
- Computer Vision and Pattern Recognition 521
- Artificial Intelligence 191
- Media Technology 18
- Information Systems 39
- Signal Processing 11
Countries citing papers authored by Michael Grubinger
This map shows the geographic impact of Michael Grubinger'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 Grubinger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Grubinger more than expected).
Fields of papers citing papers by Michael Grubinger
This network shows the impact of papers produced by Michael Grubinger. 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 Grubinger. The network helps show where Michael Grubinger may publish in the future.
Co-authors
The 17 scholars most cited alongside Michael Grubinger, 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 | 2009 | 303 | |
| 2 | 2006 | 100 | |
| 3 | 2009 | 66 | |
| 4 | 2007 | 54 | |
| 5 | 2008 | 45 | |
| 6 | 2010 | 4 | |
| 7 | 2006 | 3 | |
| 8 | Towards a Topic Complexity Measure for Cross Language Image Retrieval. | 2005 | 2 |
| 9 | 2010 | 2 |
About Michael Grubinger
Michael Grubinger is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology, Information Systems, Artificial Intelligence and Infectious Diseases, having authored 9 papers that have together received 579 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (9 papers), Advanced Image and Video Retrieval Techniques (8 papers), Video Analysis and Summarization (3 papers), Multimodal Machine Learning Applications (3 papers), Biomedical Text Mining and Ontologies (2 papers), Natural Language Processing Techniques (1 paper) and Information Retrieval and Search Behavior (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (521 citations), Artificial Intelligence (191 citations), Media Technology (18 citations), Information Systems (39 citations) and Signal Processing (11 citations). Michael Grubinger has collaborated with scholars based in United Kingdom, Australia and Switzerland. Frequent co-authors include Paul Clough, Henning Müller, Luis Enrique Sucar, Carlos Hernández, Hugo Jair Escalante, Jesús A. González, Manuel Montes, Aurelio López‐López, Eduardo F. Morales and Thomas Deselaers. Their work appears in journals such as Computer Vision and Image Understanding, Lecture notes in computer science, CLEF (Working Notes) and Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft).
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.