Claudia Plant
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 2%
- Signal Processing top 2%
- Cognitive Neuroscience top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Co-authors
- Christian BöhmJunming ShaoQinli YangAnnahita OswaldThomas MeindlMichael EwersStefan TeipelArun L.W. Bokde
- Topics
- Advanced Clustering Algorithms Research (32 papers)Data Management and Algorithms (22 papers)Complex Network Analysis Techniques (20 papers)
- Journals
- SHILAP Revista de lepidopterologíaBioinformaticsPLoS ONE
- Partner nations
- GermanyAustriaUnited States
In The Last Decade
Claudia Plant
122 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Artificial Intelligence 819
- Computer Vision and Pattern Recognition 441
- Signal Processing 364
- Cognitive Neuroscience 306
- Radiology, Nuclear Medicine and Imaging 207
Countries citing papers authored by Claudia Plant
This map shows the geographic impact of Claudia Plant'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 Claudia Plant with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Claudia Plant more than expected).
Fields of papers citing papers by Claudia Plant
This network shows the impact of papers produced by Claudia Plant. 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 Claudia Plant. The network helps show where Claudia Plant may publish in the future.
Co-authorship network of co-authors of Claudia Plant
This figure shows the co-authorship network connecting the top 25 collaborators of Claudia Plant. A scholar is included among the top collaborators of Claudia Plant 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 Claudia Plant. Claudia Plant 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 | 7 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | Learnable graph convolutional network and feature fusion for multi-view learningbreakdown → | 110 |
| 10 | 6 | |
| 11 | 23 | |
| 12 | 9 | |
| 13 | 13 | |
| 14 | 1 | |
| 15 | 2 | |
| 16 | 9 | |
| 17 | 2 | |
| 18 | 142 | |
| 19 | Model-based Classification of Data with Time Series-valued Attributes. | 4 |
| 20 | 255 |
About Claudia Plant
Claudia Plant is a scholar working on Computational Mathematics, Signal Processing and Artificial Intelligence, having authored 135 papers that have together received 1.8k indexed citations. Recurring topics across this work include Advanced Clustering Algorithms Research (32 papers), Data Management and Algorithms (22 papers) and Complex Network Analysis Techniques (20 papers). The work is most often cited by research in Signal Processing (364 citations), Computational Mathematics (20 citations) and Artificial Intelligence (819 citations). Claudia Plant has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Christian Böhm, Junming Shao, Qinli Yang, Annahita Oswald, Thomas Meindl, Michael Ewers, Stefan Teipel, Arun L.W. Bokde, Harald Hampel and Enrico Schulz. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.
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.