Robert Kaucic
Impact in
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- Advanced Vision and Imaging
- Video Surveillance and Tracking Methods
- Advanced Image and Video Retrieval Techniques
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- Speech and Audio Processing
Papers in
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- Image and Object Detection Techniques 3
- Image Retrieval and Classification Techniques 2
- Advanced Vision and Imaging 2
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- Lung Cancer Diagnosis and Treatment 2
- Co-authors
- Anthony Hoogs (3 shared papers)Andrew Blake (1 shared paper)J. Kaufhold (2 shared papers)A. G. Amitha Perera (1 shared paper)Glen W. Brooksby (1 shared paper)Richard Hartley (1 shared paper)Paulo R. S. Mendonça (4 shared papers)Ricardo S. Avila (2 shared papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Journal of Computing and Information Science in Engineering (1 paper)Academic Radiology (1 paper)International Congress Series (1 paper)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Robert Kaucic
12 papers receiving 228 citations
Peers
Comparison fields: 5 of 54
- Computer Vision and Pattern Recognition 172
- Signal Processing 34
- Aerospace Engineering 48
- Radiology, Nuclear Medicine and Imaging 43
- Artificial Intelligence 56
Countries citing papers authored by Robert Kaucic
This map shows the geographic impact of Robert Kaucic'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 Robert Kaucic with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Kaucic more than expected).
Fields of papers citing papers by Robert Kaucic
This network shows the impact of papers produced by Robert Kaucic. 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 Robert Kaucic. The network helps show where Robert Kaucic may publish in the future.
Co-authors
The 16 scholars most cited alongside Robert Kaucic, 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 | 2005 | 77 | |
| 2 | 2004 | 52 | |
| 3 | 2002 | 39 | |
| 4 | 2002 | 35 | |
| 5 | 2003 | 20 | |
| 6 | 2006 | 7 | |
| 7 | 2013 | 5 | |
| 8 | 1996 | 4 | |
| 9 | 2006 | 2 | |
| 10 | 2003 | 1 | |
| 11 | 2008 | 1 | |
| 12 | 2003 | 1 |
About Robert Kaucic
Robert Kaucic is a scholar working on Computer Vision and Pattern Recognition, Pulmonary and Respiratory Medicine, Signal Processing, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, having authored 12 papers that have together received 244 indexed citations. Recurring topics across this work include Image and Object Detection Techniques (3 papers), Speech and Audio Processing (2 papers), Lung Cancer Diagnosis and Treatment (2 papers), Indoor and Outdoor Localization Technologies (2 papers), Industrial Vision Systems and Defect Detection (2 papers), Image Retrieval and Classification Techniques (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Advanced Vision and Imaging (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (172 citations), Signal Processing (34 citations), Aerospace Engineering (48 citations), Radiology, Nuclear Medicine and Imaging (43 citations) and Artificial Intelligence (56 citations). Robert Kaucic has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Anthony Hoogs, Andrew Blake, J. Kaufhold, A. G. Amitha Perera, Glen W. Brooksby, Richard Hartley, Paulo R. S. Mendonça, Ricardo S. Avila, Colin McCulloch and Joseph L. Mundy. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Computing and Information Science in Engineering, Academic Radiology and International Congress Series.
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.