Fabian Hinder

571 total citations
24 papers, 112 citations indexed

About

Fabian Hinder is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computer Networks and Communications. According to data from OpenAlex, Fabian Hinder has authored 24 papers receiving a total of 112 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 4 papers in Management Science and Operations Research and 3 papers in Computer Networks and Communications. Recurrent topics in Fabian Hinder's work include Data Stream Mining Techniques (18 papers), Anomaly Detection Techniques and Applications (7 papers) and Machine Learning and Data Classification (5 papers). Fabian Hinder is often cited by papers focused on Data Stream Mining Techniques (18 papers), Anomaly Detection Techniques and Applications (7 papers) and Machine Learning and Data Classification (5 papers). Fabian Hinder collaborates with scholars based in Germany, United Kingdom and Russia. Fabian Hinder's co-authors include Barbara Hammer, A. Lehrach, A. Nass, Peter Tiňo, Helmut Soltner, R. Gebel, F. Rathmann, Dirk Heberling, Dirk Hölscher and Michael Biehl and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neurocomputing and Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment.

In The Last Decade

Fabian Hinder

21 papers receiving 109 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fabian Hinder Germany 7 82 26 22 18 12 24 112
Greg Yang United States 7 130 1.6× 13 0.5× 5 0.2× 12 0.7× 5 0.4× 14 156
Jia-Hong Huang Netherlands 10 156 1.9× 67 2.6× 5 0.2× 13 0.7× 4 0.3× 19 299
Jianyu Huang United States 6 35 0.4× 8 0.3× 34 1.5× 20 1.1× 4 0.3× 9 89
André Schrottenloher France 5 116 1.4× 11 0.4× 11 0.5× 13 0.7× 7 0.6× 13 133
Baptiste Rozière United States 5 39 0.5× 6 0.2× 7 0.3× 7 0.4× 4 0.3× 7 73
F. Z. Qi China 6 21 0.3× 14 0.5× 27 1.2× 20 1.1× 1 0.1× 21 84
John Mattsson Sweden 6 49 0.6× 13 0.5× 61 2.8× 25 1.4× 5 0.4× 26 115
Samuel Daulton Israel 2 45 0.5× 3 0.1× 3 0.1× 11 0.6× 6 0.5× 2 114
Rafael Misoczki United States 5 99 1.2× 9 0.3× 27 1.2× 26 1.4× 8 0.7× 13 144
Jiatong Li China 9 58 0.7× 19 0.7× 2 0.1× 13 0.7× 22 1.8× 23 166

Countries citing papers authored by Fabian Hinder

Since Specialization
Citations

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

Fields of papers citing papers by Fabian Hinder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabian Hinder

This figure shows the co-authorship network connecting the top 25 collaborators of Fabian Hinder. A scholar is included among the top collaborators of Fabian Hinder 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 Fabian Hinder. Fabian Hinder 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
1.
Hinder, Fabian, et al.. (2024). Self-Supervised Learning from Incrementally Drifting Data Streams. Zenodo (CERN European Organization for Nuclear Research). 431–436.
2.
Hinder, Fabian, et al.. (2024). One or two things we know about concept drift—a survey on monitoring in evolving environments. Part A: detecting concept drift. Frontiers in Artificial Intelligence. 7. 18 indexed citations
3.
Vamvakeridou-Lyroudia, Lydia, Fabian Hinder, Δημήτριος Γ. Ηλιάδης, et al.. (2024). A Water Futures Approach on Water Demand Forecasting with Online Ensemble Learning. SHILAP Revista de lepidopterología. 60–60.
4.
Hinder, Fabian, et al.. (2024). One or two things we know about concept drift—a survey on monitoring in evolving environments. Part B: locating and explaining concept drift. Frontiers in Artificial Intelligence. 7. 1330258–1330258. 5 indexed citations
5.
6.
Hinder, Fabian, et al.. (2024). Feature-based analyses of concept drift. Neurocomputing. 600. 127968–127968. 1 indexed citations
7.
Hinder, Fabian, et al.. (2024). Localizing of Anomalies in Critical Infrastructure using Model-Based Drift Explanations. Zenodo (CERN European Organization for Nuclear Research). 1–8. 2 indexed citations
8.
Hinder, Fabian, et al.. (2023). Model-based explanations of concept drift. Neurocomputing. 555. 126640–126640. 19 indexed citations
9.
Hinder, Fabian & Barbara Hammer. (2023). Feature Selection for Concept Drift Detection. 53–58. 3 indexed citations
10.
Hinder, Fabian, et al.. (2022). Contrasting Explanations for Understanding and Regularizing Model Adaptations. Neural Processing Letters. 55(5). 5273–5297. 3 indexed citations
11.
Hinder, Fabian, et al.. (2022). Localization of Concept Drift: Identifying the Drifting Datapoints. 2022 International Joint Conference on Neural Networks (IJCNN). 1–9. 3 indexed citations
12.
Hinder, Fabian & Barbara Hammer. (2021). Concept Drift Segmentation via Kolmogorov-Trees. 41–46. 7 indexed citations
13.
Hinder, Fabian, et al.. (2021). Fast Non-Parametric Conditional Density Estimation using Moment Trees. 2021 IEEE Symposium Series on Computational Intelligence (SSCI). 9. 1–7. 1 indexed citations
14.
Hinder, Fabian, et al.. (2021). A Shape-Based Method for Concept Drift Detection and Signal Denoising. 2021 IEEE Symposium Series on Computational Intelligence (SSCI). 1–8. 2 indexed citations
15.
Hinder, Fabian, et al.. (2020). Feature relevance determination for ordinal regression in the context of feature redundancies and privileged information. Neurocomputing. 416. 266–279. 4 indexed citations
16.
Hinder, Fabian, et al.. (2020). Towards non-parametric drift detection via Dynamic Adapting Window Independence Drift Detection (DAWIDD). PUB – Publications at Bielefeld University (Bielefeld University). 1. 4249–4259. 7 indexed citations
17.
Schulz, Alexander, Fabian Hinder, & Barbara Hammer. (2019). DeepView: Visualizing the behavior of deep neural networks in a part of the data space.
18.
Rathmann, F., et al.. (2017). Non-exponential decoherence of radio-frequency resonance rotation of spin in storage rings. Journal of Experimental and Theoretical Physics Letters. 106(4). 213–216. 1 indexed citations
19.
Hinder, Fabian, et al.. (2016). Development of New Beam Position Monitors at COSY. JACOW. 339–343. 1 indexed citations
20.
Slim, J., R. Gebel, Dirk Heberling, et al.. (2016). Electromagnetic Simulation and Design of a Novel Waveguide RF Wien Filter for Electric Dipole Moment Measurements of Protons and Deuterons. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 828. 116–124. 15 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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