Claudia Plant

3.2k total citations · 1 hit paper
135 papers, 1.8k citations indexed

About

Claudia Plant is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Claudia Plant has authored 135 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Artificial Intelligence, 37 papers in Signal Processing and 36 papers in Computer Vision and Pattern Recognition. Recurrent topics in Claudia Plant's work include Advanced Clustering Algorithms Research (32 papers), Data Management and Algorithms (22 papers) and Complex Network Analysis Techniques (20 papers). Claudia Plant is often cited by papers focused on Advanced Clustering Algorithms Research (32 papers), Data Management and Algorithms (22 papers) and Complex Network Analysis Techniques (20 papers). Claudia Plant collaborates with scholars based in Germany, Austria and United States. Claudia Plant's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

In The Last Decade

Claudia Plant

122 papers receiving 1.8k citations

Hit Papers

Learnable graph convolutional network and feature fusion ... 2023 2026 2024 2025 2023 25 50 75 100

Peers

Claudia Plant
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
Replace Junming Shao with:
Junming Shao China
Evrim Acar Denmark
Preetha Phillips United States
Maurizio Filippone United Kingdom
Muhammad Arif Pakistan
Sohan Seth United States
Takahiro Ogawa Japan
Friedhelm Schwenker Germany
Isak Gath Israel
Junming Shao China View profile →
Citations per field, relative to Claudia Plant
Claudia Plant · 1×
Citations per year, relative to Claudia Plant
Claudia Plant · 1×

Countries citing papers authored by Claudia Plant

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
# 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 learning breakdown →
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

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.

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2026