Michael Grubinger
Impact in
-
- Advanced Image and Video Retrieval Techniques
- Multimodal Machine Learning Applications
- Image Retrieval and Classification Techniques
- Video Surveillance and Tracking Methods
- Video Analysis and Summarization
- Advanced Neural Network Applications
- Artificial Intelligence top 10%
- Domain Adaptation and Few-Shot Learning
- Text and Document Classification Technologies
Papers in
-
- Image Retrieval and Classification Techniques 2
- Advanced Image and Video Retrieval Techniques 1
- Video Analysis and Summarization 1
-
- Biomedical Text Mining and Ontologies 1
- Co-authors
- Manuel Montes (1 shared paper)Carlos Hernández (1 shared paper)Luis Enrique Sucar (1 shared paper)Luis Villaseñor-Pineda (1 shared paper)Aurelio López‐López (1 shared paper)Eduardo F. Morales (1 shared paper)Jesús A. González (1 shared paper)Hugo Jair Escalante (1 shared paper)
- Journals
- Computer Vision and Image Understanding (1 paper)CLEF (Working Notes) (1 paper)
- Partner nations
- AustraliaUnited KingdomMexico
In The Last Decade
Michael Grubinger
2 papers receiving 265 citations
Peers
Comparison fields: 5 of 18
- Computer Vision and Pattern Recognition 264
- Artificial Intelligence 107
- Media Technology 11
- Signal Processing 5
- Computational Theory and Mathematics 5
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 10 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 | 272 | |
| 2 | Towards a Topic Complexity Measure for Cross Language Image Retrieval. | 2005 | 1 |
About Michael Grubinger
Michael Grubinger is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology, Artificial Intelligence, Infectious Diseases and Organic Chemistry, having authored 2 papers that have together received 273 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (2 papers), Advanced Image and Video Retrieval Techniques (1 paper), Natural Language Processing Techniques (1 paper), Biomedical Text Mining and Ontologies (1 paper) and Video Analysis and Summarization (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (264 citations), Artificial Intelligence (107 citations), Media Technology (11 citations), Signal Processing (5 citations) and Computational Theory and Mathematics (5 citations). Michael Grubinger has collaborated with scholars based in Australia, United Kingdom and Mexico. Frequent co-authors include Manuel Montes, Carlos Hernández, Luis Enrique Sucar, Luis Villaseñor-Pineda, Aurelio López‐López, Eduardo F. Morales, Jesús A. González, Hugo Jair Escalante, Clement H. C. Leung and Paul Clough. Their work appears in journals such as Computer Vision and Image Understanding and CLEF (Working Notes).
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.