Katja Seeliger

823 total citations · 1 hit paper
14 papers, 358 citations indexed

About

Katja Seeliger is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Biophysics. According to data from OpenAlex, Katja Seeliger has authored 14 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cognitive Neuroscience, 9 papers in Computer Vision and Pattern Recognition and 4 papers in Biophysics. Recurrent topics in Katja Seeliger's work include Face Recognition and Perception (7 papers), Neural dynamics and brain function (6 papers) and Visual Attention and Saliency Detection (5 papers). Katja Seeliger is often cited by papers focused on Face Recognition and Perception (7 papers), Neural dynamics and brain function (6 papers) and Visual Attention and Saliency Detection (5 papers). Katja Seeliger collaborates with scholars based in Netherlands, Germany and United States. Katja Seeliger's co-authors include Marcel van Gerven, Umut Güçlü, Yağmur Güçlütürk, Luca Ambrogioni, Sander Bosch, Tim C. Kietzmann, Jan‐Mathijs Schoffelen, Matthias Fritsche, Konrad P. Körding and Grace W. Lindsay and has published in prestigious journals such as Nature reviews. Neuroscience, NeuroImage and Behavioral and Brain Sciences.

In The Last Decade

Katja Seeliger

12 papers receiving 354 citations

Hit Papers

The neuroconnectionist research programme 2023 2026 2024 2025 2023 25 50 75

Peers

Katja Seeliger
Comparison fields: 5 of 65
  • Cognitive Neuroscience 233
  • Computer Vision and Pattern Recognition 124
  • Artificial Intelligence 68
  • Biophysics 53
  • Electrical and Electronic Engineering 36
Replace Junxing Shi with:
Junxing Shi United States
Luca Ambrogioni Netherlands
Ghislain St-Yves United States
Kshitij Dwivedi Germany
Courtney J. Spoerer United Kingdom
Chengxu Zhuang United States
Kuan Han United States
Zhijiang Wan China
Johannes Mehrer United Kingdom
Michel Vidal-Naquet Israel
Junxing Shi United States View profile →
Citations per field, relative to Katja Seeliger
Katja Seeliger · 1×
Citations per year, relative to Katja Seeliger
Katja Seeliger · 1×

Countries citing papers authored by Katja Seeliger

Since Specialization
Citations

This map shows the geographic impact of Katja Seeliger'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 Katja Seeliger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katja Seeliger more than expected).

Fields of papers citing papers by Katja Seeliger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Katja Seeliger. 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 Katja Seeliger. The network helps show where Katja Seeliger may publish in the future.

Co-authorship network of co-authors of Katja Seeliger

This figure shows the co-authorship network connecting the top 25 collaborators of Katja Seeliger. A scholar is included among the top collaborators of Katja Seeliger 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 Katja Seeliger. Katja Seeliger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
# Work Indexed citations
1 0
2
The neuroconnectionist research programme breakdown →
88
3 3
4 1
5 6
6 12
7 17
8 2
9
The representation of object drawings and sketches in deep convolutional neural networks
2
10 1
11 97
12
You Only Look on Lymphocytes Once
14
13
Reconstructing perceived faces from brain activations with deep adversarial neural decoding
40
14 75

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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