Nicole M. Artner
- Computer Vision and Pattern Recognition top 10%
- Surgery
- Biomedical Engineering
- Dermatology top 10%
- Neurology
- Co-authors
- Walter G. KropatschIgor PonaManfred FreyEva PlachetaAlina HoldChieh‐Han John TzouAdrian IonGabriel Peyré
- Topics
- Video Surveillance and Tracking Methods (3 papers)Human Pose and Action Recognition (3 papers)Digital Imaging in Medicine (2 papers)
In The Last Decade
Nicole M. Artner
11 papers receiving 283 citations
Peers
Comparison fields: 5 of 63
- Computer Vision and Pattern Recognition 104
- Surgery 102
- Biomedical Engineering 65
- Dermatology 58
- Neurology 44
Countries citing papers authored by Nicole M. Artner
This map shows the geographic impact of Nicole M. Artner'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 Nicole M. Artner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicole M. Artner more than expected).
Fields of papers citing papers by Nicole M. Artner
This network shows the impact of papers produced by Nicole M. Artner. 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 Nicole M. Artner. The network helps show where Nicole M. Artner may publish in the future.
Co-authorship network of co-authors of Nicole M. Artner
This figure shows the co-authorship network connecting the top 25 collaborators of Nicole M. Artner. A scholar is included among the top collaborators of Nicole M. Artner based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nicole M. Artner. Nicole M. Artner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 185 | |
| 3 | Graph-Based Representations in Pattern Recognition: 9th IAPR-TC-15 International Workshop, GbRPR 2013, Vienna, Austria, May 15-17, 2013, Proceedings ... Vision, Pattern Recognition, and Graphics) | 1 |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 24 | |
| 7 | 27 | |
| 8 | 2 | |
| 9 | 13 | |
| 10 | 12 | |
| 11 | Improving Tracking Using Structure | 2 |
| 12 | Motion Detection as Interaction Technique for Games & Applications on Mobile Devices. | 22 |
About Nicole M. Artner
Nicole M. Artner is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Computer Graphics and Computer-Aided Design, having authored 12 papers that have together received 294 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (3 papers), Human Pose and Action Recognition (3 papers) and Digital Imaging in Medicine (2 papers). The work is most often cited by research in Orthodontics (43 citations), Dermatology (58 citations) and Computer Vision and Pattern Recognition (104 citations). Nicole M. Artner has collaborated with scholars based in Austria, Germany and France. Frequent co-authors include Walter G. Kropatsch, Igor Pona, Manfred Frey, Eva Placheta, Alina Hold, Chieh‐Han John Tzou, Adrian Ion, Gabriel Peyré, Laurent D. Cohen and Maria Michaelidou. Their work appears in journals such as Pattern Recognition, Plastic & Reconstructive Surgery and Computer Vision and Image Understanding.
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.