Nanne van Noord
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence
- Cognitive Neuroscience
- Conservation top 5%
- Computer Graphics and Computer-Aided Design top 10%
- Co-authors
- Eric PostmaElla HendriksPascal MettesTeng LongMenno van ZaanenMarcel WorringJaap KampsRichard Johnson
- Topics
- Aesthetic Perception and Analysis (4 papers)Image Retrieval and Classification Techniques (4 papers)Generative Adversarial Networks and Image Synthesis (3 papers)
- Cited by
- Computer Vision and Pattern RecognitionConservationComputer Graphics and Computer-Aided Design
- Journals
- SHILAP Revista de lepidopterologíaPattern RecognitionIEEE Signal Processing Magazine
- Partner nations
- NetherlandsHong KongIran
In The Last Decade
Nanne van Noord
17 papers receiving 293 citations
Peers
Comparison fields: 5 of 84
- Computer Vision and Pattern Recognition 195
- Artificial Intelligence 75
- Cognitive Neuroscience 74
- Conservation 26
- Computer Graphics and Computer-Aided Design 23
Countries citing papers authored by Nanne van Noord
This map shows the geographic impact of Nanne van Noord'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 Nanne van Noord with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nanne van Noord more than expected).
Fields of papers citing papers by Nanne van Noord
This network shows the impact of papers produced by Nanne van Noord. 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 Nanne van Noord. The network helps show where Nanne van Noord may publish in the future.
Co-authorship network of co-authors of Nanne van Noord
This figure shows the co-authorship network connecting the top 25 collaborators of Nanne van Noord. A scholar is included among the top collaborators of Nanne van Noord 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 Nanne van Noord. Nanne van Noord 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 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 7 | |
| 9 | 39 | |
| 10 | 7 | |
| 11 | 8 | |
| 12 | 5 | |
| 13 | 5 | |
| 14 | Learning visual representations of style | 1 |
| 15 | 8 | |
| 16 | 126 | |
| 17 | 69 | |
| 18 | 10 | |
| 19 | Developing a part-of-speech tagger for Dutch tweets | 11 |
| 20 | Model merging versus model splitting context-free grammar induction | 2 |
About Nanne van Noord
Nanne van Noord is a scholar working on Computer Vision and Pattern Recognition, Conservation and Museology, having authored 22 papers that have together received 304 indexed citations. Recurring topics across this work include Aesthetic Perception and Analysis (4 papers), Image Retrieval and Classification Techniques (4 papers) and Generative Adversarial Networks and Image Synthesis (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (195 citations), Conservation (26 citations) and Computer Graphics and Computer-Aided Design (23 citations). Nanne van Noord has collaborated with scholars based in Netherlands, Hong Kong and Iran. Frequent co-authors include Eric Postma, Ella Hendriks, Pascal Mettes, Teng Long, Menno van Zaanen, Marcel Worring, Jaap Kamps, Richard Johnson, Nelly Pustelnik and Patrice Abry. Their work appears in journals such as SHILAP Revista de lepidopterología, Pattern Recognition and IEEE Signal Processing Magazine.
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.