Sebastian Stabinger

461 total citations
13 papers, 114 citations indexed

About

Sebastian Stabinger is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Sebastian Stabinger has authored 13 papers receiving a total of 114 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 2 papers in Signal Processing. Recurrent topics in Sebastian Stabinger's work include Topic Modeling (4 papers), Adversarial Robustness in Machine Learning (3 papers) and Advanced Neural Network Applications (3 papers). Sebastian Stabinger is often cited by papers focused on Topic Modeling (4 papers), Adversarial Robustness in Machine Learning (3 papers) and Advanced Neural Network Applications (3 papers). Sebastian Stabinger collaborates with scholars based in Austria and Netherlands. Sebastian Stabinger's co-authors include Antonio Rodrı́guez-Sánchez, Alexander Rietzler, George Azzopardi, Christian Raschner, Justus Piater and Nora Hofer and has published in prestigious journals such as Sensors, Pattern Recognition Letters and Language Resources and Evaluation.

In The Last Decade

Sebastian Stabinger

13 papers receiving 108 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sebastian Stabinger Austria	6	61	34	15	11	10	13	114
Anthony Cioppa Belgium	10	105 1.7×	203 6.0×	11 0.7×	74 6.7×	20 2.0×	24	265
Binbin Sun China	6	37 0.6×	51 1.5×		7 0.6×	16 1.6×	27	103
Tom Decroos Belgium	5	24 0.4×	47 1.4×	39 2.6×	75 6.8×	35 3.5×	8	103
Sarah Tan United States	7	84 1.4×	6 0.2×	2 0.1×	3 0.3×	4 0.4×	11	120
Kazuki Osawa Japan	7	51 0.8×	25 0.7×	7 0.5×	1 0.1×	2 0.2×	13	97
K. Vijay India	6	22 0.4×	11 0.3×	2 0.1×	3 0.3×	7 0.7×	40	97
Ernie Chang Germany	9	133 2.2×	42 1.2×		3 0.3×	6 0.6×	24	171
Antoine Bruguier United States	8	130 2.1×	19 0.6×		6 0.5×	62 6.2×	20	177
Yifan Jiao China	6	49 0.8×	107 3.1×		2 0.2×	9 0.9×	11	139
Bosheng Qin China	5	41 0.7×	174 5.1×		7 0.6×	14 1.4×	7	229

Countries citing papers authored by Sebastian Stabinger

Since Specialization

Citations

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

Fields of papers citing papers by Sebastian Stabinger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sebastian Stabinger

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

All Works

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13 of 13 papers shown

Stabinger, Sebastian, et al.. (2022). Improving 3D Point Cloud Reconstruction with Dynamic Tree-Structured Capsules. abs/1710.09829. 1–6. 1 indexed citations

Stabinger, Sebastian, et al.. (2022). Greedy-layer pruning: Speeding up transformer models for natural language processing. Pattern Recognition Letters. 157. 76–82. 19 indexed citations

Stabinger, Sebastian, et al.. (2021). Neural networks / Arguments for the unsuitability of convolutional neural networks for non-local tasks. Digital Library of the University of Innsbruck (University of Innsbruck). 5 indexed citations

Stabinger, Sebastian, et al.. (2021). Conflicting Bundles: Adapting Architectures Towards the Improved Training of Deep Neural Networks. 37. 256–265. 5 indexed citations

Stabinger, Sebastian, et al.. (2021). Classification of Tennis Shots with a Neural Network Approach. Sensors. 21(17). 5703–5703. 19 indexed citations

Stabinger, Sebastian, et al.. (2021). conflicting_bundle.py—A python module to identify problematic layers in deep neural networks. Software Impacts. 7. 100053–100053. 1 indexed citations

Hofer, Nora, et al.. (2021). Adversarial Examples Against a BERT ABSA Model – Fooling Bert With L33T, Misspellign, and Punctuation,. 1–6. 3 indexed citations

Stabinger, Sebastian, et al.. (2021). Greedy Layer Pruning: Decreasing Inference Time of Transformer Models. SSRN Electronic Journal. 2 indexed citations

Stabinger, Sebastian, et al.. (2020). Using Wearable Sensors and a Convolutional Neural Network for Catch Detection in American Football. Sensors. 20(23). 6722–6722. 10 indexed citations

10.

Rietzler, Alexander, et al.. (2020). Adapt or Get Left Behind: Domain Adaptation through BERT Language Model Finetuning for Aspect-Target Sentiment Classification. Language Resources and Evaluation. 4933–4941. 35 indexed citations

11.

Stabinger, Sebastian, et al.. (2017). Autonomous skill-centric testing using deep learning. Zenodo (CERN European Organization for Nuclear Research). 4. 95–102. 1 indexed citations

12.

Rodrı́guez-Sánchez, Antonio, et al.. (2017). A deep learning approach for detecting and correcting highlights in endoscopic images. University of Groningen research database (University of Groningen / Centre for Information Technology). 1–6. 11 indexed citations

13.

Stabinger, Sebastian, Antonio Rodrı́guez-Sánchez, & Justus Piater. (2016). Monocular obstacle avoidance for blind people using probabilistic focus of expansion estimation. 1–9. 2 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.

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