Sindy Löwe

979 total citations
4 papers, 206 citations indexed

About

Sindy Löwe is a scholar working on Artificial Intelligence, Signal Processing and Cognitive Neuroscience. According to data from OpenAlex, Sindy Löwe has authored 4 papers receiving a total of 206 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Signal Processing and 1 paper in Cognitive Neuroscience. Recurrent topics in Sindy Löwe's work include Neural Networks and Applications (3 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Music and Audio Processing (2 papers). Sindy Löwe is often cited by papers focused on Neural Networks and Applications (3 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Music and Audio Processing (2 papers). Sindy Löwe collaborates with scholars based in Netherlands, India and Canada. Sindy Löwe's co-authors include Michael Fauser, Paul Bergmann, David Sattlegger, Carsten Steger, Peter O’Connor, Bastiaan S. Veeling, Lyle Muller, Max Welling, Luisa Helena Bartocci Liboni and Roberto C. Budzinski and has published in prestigious journals such as Proceedings of the National Academy of Sciences, UvA-DARE (University of Amsterdam) and arXiv (Cornell University).

In The Last Decade

Sindy Löwe

4 papers receiving 202 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Sindy Löwe Netherlands	3	161	65	53	43	22	4	206
Guoyang Xie China	6	164 1.0×	51 0.8×	64 1.2×	34 0.8×	27 1.2×	10	229
Yunkang Cao China	9	209 1.3×	69 1.1×	75 1.4×	59 1.4×	33 1.5×	26	269
Haiming Yao China	9	123 0.8×	69 1.1×	45 0.8×	43 1.0×	16 0.7×	22	213
Jongheon Jeong South Korea	5	253 1.6×	28 0.4×	104 2.0×	37 0.9×	46 2.1×	9	322
Neelu Madan Denmark	4	216 1.3×	39 0.6×	99 1.9×	97 2.3×	24 1.1×	6	257
Bingke Zhu China	8	114 0.7×	27 0.4×	218 4.1×	17 0.4×	11 0.5×	14	320
Davide Abati Italy	4	294 1.8×	17 0.3×	106 2.0×	146 3.4×	20 0.9×	6	327
Suhwan Cho South Korea	8	112 0.7×	10 0.2×	160 3.0×	58 1.3×	8 0.4×	20	251
Lewei Yao Sweden	8	138 0.9×	23 0.4×	233 4.4×	10 0.2×	10 0.5×	12	319

Countries citing papers authored by Sindy Löwe

Since Specialization

Citations

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

Fields of papers citing papers by Sindy Löwe

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sindy Löwe

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

All Works

Sort: Min cites: Since: Top N: Style:

4 of 4 papers shown

1.

Liboni, Luisa Helena Bartocci, Roberto C. Budzinski, Sindy Löwe, et al.. (2025). Image segmentation with traveling waves in an exactly solvable recurrent neural network. Proceedings of the National Academy of Sciences. 122(1). e2321319121–e2321319121. 2 indexed citations

2.

Löwe, Sindy, Peter O’Connor, & Bastiaan S. Veeling. (2019). Greedy InfoMax for Biologically Plausible Self-Supervised Representation Learning.. arXiv (Cornell University). 2 indexed citations

3.

Löwe, Sindy, Peter O’Connor, & Bastiaan S. Veeling. (2019). Putting An End to End-to-End: Gradient-Isolated Learning of Representations. UvA-DARE (University of Amsterdam). 32. 3033–3045. 15 indexed citations

4.

Bergmann, Paul, Sindy Löwe, Michael Fauser, David Sattlegger, & Carsten Steger. (2019). Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders. 372–380. 187 indexed citations

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.

Explore authors with similar magnitude of impact