Marie Cottrell
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 5%
- Electrical and Electronic Engineering
- Economics and Econometrics
- Co-authors
- Michel VerleysenEric de BodtJean‐Claude FortBarbara HammerThomas VillmannAlexander HasenfußGilles PagèsJérôme Lacaille
- Topics
- Neural Networks and Applications (17 papers)Face and Expression Recognition (7 papers)Time Series Analysis and Forecasting (4 papers)
In The Last Decade
Marie Cottrell
41 papers receiving 581 citations
Peers
Comparison fields: 5 of 117
- Artificial Intelligence 399
- Computer Vision and Pattern Recognition 161
- Signal Processing 104
- Electrical and Electronic Engineering 64
- Economics and Econometrics 57
Countries citing papers authored by Marie Cottrell
This map shows the geographic impact of Marie Cottrell'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 Marie Cottrell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marie Cottrell more than expected).
Fields of papers citing papers by Marie Cottrell
This network shows the impact of papers produced by Marie Cottrell. 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 Marie Cottrell. The network helps show where Marie Cottrell may publish in the future.
Co-authorship network of co-authors of Marie Cottrell
This figure shows the co-authorship network connecting the top 25 collaborators of Marie Cottrell. A scholar is included among the top collaborators of Marie Cottrell 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 Marie Cottrell. Marie Cottrell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Panel Study of Income Dynamics, 1993-2003 | 20 |
| 2 | 0 | |
| 3 | 81 | |
| 4 | 32 | |
| 5 | 12 | |
| 6 | Long-term time series forecasting using self-organizing maps : the double vector quantization method | 2 |
| 7 | Analyzing surveys using the Kohonen algorithm. | 5 |
| 8 | 67 | |
| 9 | Bootstrapping Self-Organizing Maps to assess the statistical significance of local proximity. | 2 |
| 10 | Using the Kohonen Algorithm for Quick Initialization of Simple Competitive Learning Algorithm. | 7 |
| 11 | Forecasting Time-Series by Kohonen Classification | 17 |
| 12 | Self organizing map for adaptive non-stationary clustering: some experimental results on color quantization of image sequences. | 1 |
| 13 | Kohonen maps versus vector quantization for data analysis. | 17 |
| 14 | 5 | |
| 15 | 23 | |
| 16 | Multiple correspondence analysis of a crosstabulations matrix using the Kohonen algorithm. | 15 |
| 17 | Two or three things that we know about the Kohonen algorithm. | 38 |
| 18 | Time series and neural: a statistical method for weight elimination. | 3 |
| 19 | 12 | |
| 20 | Etude d'un processus d'auto-organisation | 40 |
About Marie Cottrell
Marie Cottrell is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, having authored 42 papers that have together received 662 indexed citations. Recurring topics across this work include Neural Networks and Applications (17 papers), Face and Expression Recognition (7 papers) and Time Series Analysis and Forecasting (4 papers). The work is most often cited by research in Artificial Intelligence (399 citations), Signal Processing (104 citations) and Computer Vision and Pattern Recognition (161 citations). Marie Cottrell has collaborated with scholars based in France, Belgium and Germany. Frequent co-authors include Michel Verleysen, Eric de Bodt, Jean‐Claude Fort, Barbara Hammer, Thomas Villmann, Alexander Hasenfuß, Gilles Pagès, Jérôme Lacaille, Étienne Côme and Amaury Lendasse. Their work appears in journals such as Neurocomputing, Neural Networks and Lecture notes in computer science.
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.