Oliver Rippel

2.8k total citations
15 papers, 150 citations indexed

About

Oliver Rippel is a scholar working on Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Oliver Rippel has authored 15 papers receiving a total of 150 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Industrial and Manufacturing Engineering, 5 papers in Computer Vision and Pattern Recognition and 5 papers in Artificial Intelligence. Recurrent topics in Oliver Rippel's work include Industrial Vision Systems and Defect Detection (9 papers), Anomaly Detection Techniques and Applications (5 papers) and Optical measurement and interference techniques (3 papers). Oliver Rippel is often cited by papers focused on Industrial Vision Systems and Defect Detection (9 papers), Anomaly Detection Techniques and Applications (5 papers) and Optical measurement and interference techniques (3 papers). Oliver Rippel collaborates with scholars based in Germany. Oliver Rippel's co-authors include Dorit Merhof, Laura Stappert, Niels König, Robert Schmitt, Simone Haupt, Stephan Jonas, Oliver Brüstle, Michael Peitz, Michael Kulik and Martin Zenke and has published in prestigious journals such as Sensors, IEEE Transactions on Instrumentation and Measurement and Computers in Biology and Medicine.

In The Last Decade

Oliver Rippel

15 papers receiving 147 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Oliver Rippel Germany	6	54	39	37	30	30	15	150
S. Kumarganesh India	9	60 1.1×	68 1.7×	25 0.7×	86 2.9×	10 0.3×	28	263
Md. Mohaiminul Islam Bangladesh	9	43 0.8×	20 0.5×	67 1.8×	33 1.1×	6 0.2×	28	206
Nigel John United States	7	43 0.8×	18 0.5×	9 0.2×	106 3.5×	15 0.5×	15	169
Shuang Zeng China	6	214 4.0×	30 0.8×	29 0.8×	66 2.2×	10 0.3×	13	357
Jiří Borovec Czechia	6	69 1.3×	9 0.2×	14 0.4×	77 2.6×	7 0.2×	10	173
Sampa Misra South Korea	8	122 2.3×	61 1.6×	16 0.4×	32 1.1×	12 0.4×	13	247
Sibo Song China	6	52 1.0×	26 0.7×	7 0.2×	137 4.6×	10 0.3×	8	184
Markus Hofmarcher Austria	4	75 1.4×	12 0.3×	40 1.1×	141 4.7×	9 0.3×	6	260
Ruixuan Wang China	9	88 1.6×	38 1.0×	15 0.4×	77 2.6×	2 0.1×	29	272
Sascha Seifert Germany	8	66 1.2×	132 3.4×	28 0.8×	110 3.7×	37 1.2×	19	301

Countries citing papers authored by Oliver Rippel

Since Specialization

Citations

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

Fields of papers citing papers by Oliver Rippel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Oliver Rippel

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

All Works

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15 of 15 papers shown

Rippel, Oliver & Dorit Merhof. (2023). Anomaly Detection for Automated Visual Inspection: A Review. 1–13. 2 indexed citations

Rippel, Oliver, et al.. (2022). Panoptic Segmentation of Animal Fibers. 11. 1–6. 2 indexed citations

Rippel, Oliver, et al.. (2022). Animal Fiber Identification under the Open Set Condition. 36–47. 2 indexed citations

Rippel, Oliver, et al.. (2022). Increasing the Generalization of Supervised Fabric Anomaly Detection Methods to Unseen Fabrics. Sensors. 22(13). 4750–4750. 5 indexed citations

Rippel, Oliver, et al.. (2021). Anomaly Detection for the Automated Visual Inspection of PET Preform Closures. 32. 1–7. 2 indexed citations

Rippel, Oliver, et al.. (2021). Identifying Pristine and Processed Animal Fibers using Machine Learning. 1–6. 1 indexed citations

Rippel, Oliver, et al.. (2021). Estimating the Probability Density Function of New Fabrics for Fabric Anomaly Detection. 463–470. 2 indexed citations

Rippel, Oliver & Dorit Merhof. (2021). Leveraging pre-trained Segmentation Networks for Anomaly Segmentation. 33. 1–4. 1 indexed citations

Rippel, Oliver, et al.. (2021). Gaussian Anomaly Detection by Modeling the Distribution of Normal Data in Pretrained Deep Features. IEEE Transactions on Instrumentation and Measurement. 70. 1–13. 47 indexed citations

10.

Rippel, Oliver, Michael Kulik, Michael Peitz, et al.. (2020). The StemCellFactory: A Modular System Integration for Automated Generation and Expansion of Human Induced Pluripotent Stem Cells. Frontiers in Bioengineering and Biotechnology. 8. 580352–580352. 29 indexed citations

11.

Rippel, Oliver, et al.. (2020). Accurate Stitch Position Identification of Sewn Threads in Textiles. 55. 505–512. 1 indexed citations

12.

Thüring, Johannes, Oliver Rippel, Christoph Haarburger, et al.. (2020). Multiphase CT-based prediction of Child-Pugh classification: a machine learning approach. European Radiology Experimental. 4(1). 20–20. 10 indexed citations

13.

Rippel, Oliver, Niels König, Simone Haupt, et al.. (2020). Deep-learning-based multi-class segmentation for automated, non-invasive routine assessment of human pluripotent stem cell culture status. Computers in Biology and Medicine. 129. 104172–104172. 34 indexed citations

14.

Rippel, Oliver, et al.. (2020). GAN-based Defect Synthesis for Anomaly Detection in Fabrics. 534–540. 11 indexed citations

15.

Rippel, Oliver, et al.. (2020). Automated Segmentation of Profiled Fibers in cross-sectional Micrographs for Quality Control. 1–6. 1 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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