Anchors
| Anchor text | Ref. domains ▾ | Top DR | Ref. pages | Links to target | Dofollow links |
|---|---|---|---|---|---|
| 12 | — | 0 | 17 | 16 94.1% | |
| online | 6 | — | 0 | 11 | 6 54.5% |
| Link | 5 | — | 0 | 8 | 8 100% |
| Volltext | 4 | — | 0 | 22 | 22 100% |
| Folien | 4 | — | 0 | 5 | 5 100% |
| 4 | — | 0 | 170 | 170 100% | |
| BibTeX | 4 | — | 0 | 1196 | 1196 100% |
| Download | 4 | — | 0 | 4 | 3 75% |
| Veröffentlichungen | 3 | — | 0 | 223 | 223 100% |
| Publikationsserver | 3 | — | 0 | 48 | 48 100% |
| https://opus4.kobv.de/opus4-trr154/frontdoor/index/index/start/14/rows/10/sortfield/score/sortorder/desc/searchtype/simple/query/zöttl/docId/458 | 3 | — | 0 | 4 | 4 100% |
| Publications | 3 | — | 0 | 243 | 243 100% |
| OPUS | 2 | — | 0 | 5 | 5 100% |
| Publikationen | 2 | — | 0 | 472 | 472 100% |
| Heroth, Michael | 2 | — | 0 | 2 | 2 100% |
| Kumar, Dibyanshu | 2 | — | 0 | 2 | 2 100% |
| Benkert, Marius | 2 | — | 0 | 2 | 2 100% |
| Diffusion Classifier Guidance for Non-robust Classifiers | 2 | — | 0 | 2 | 2 100% |
| Diffusion-based Visual Counterfactual Explanations - Towards Systematic Quantitative Evaluation | 2 | — | 0 | 2 | 2 100% |
| https://opus4.kobv.de/opus4-fau/frontdoor/index/index/docId/5024 | 2 | — | 0 | 2 | 2 100% |
| Boget, Yoann | 2 | — | 0 | 2 | 2 100% |
| Frühwald, Alexander M. | 2 | — | 0 | 2 | 2 100% |
| Ademola, Esther | 2 | — | 0 | 2 | 2 100% |
| Graph annotation generative adversarial networks | 2 | — | 0 | 2 | 2 100% |
| Variational Autoencoder-Based Multiobjective Topology Optimization of Electrical Machines Using Vector Graphics | 2 | — | 0 | 2 | 2 100% |
| http://opus4.kobv.de/opus4-fau/files/5024/Kuckuk_2013_VIPER.pdf | 2 | — | 0 | 2 | 2 100% |
| Hofmann, Wilfried | 2 | — | 0 | 2 | 2 100% |
| GrannGAN: Graph annotation generative adversarial networks | 2 | — | 0 | 2 | 2 100% |
| kobv.de | 2 | — | 0 | 6 | 0 0% |
| https://opus4.kobv.de/opus4-trr154/frontdoor/index/index/searchtype/latest/docId/417/start/0/rows/10 | 2 | — | 0 | 4 | 4 100% |
| hier | 2 | — | 0 | 2 | 2 100% |
| deployment and use of marketing automation in German companies | 2 | — | 0 | 2 | 2 100% |
| Kalousis, Alexandros | 2 | — | 0 | 2 | 2 100% |
| Paaßen, Benjamin | 2 | — | 0 | 2 | 2 100% |
| Paassen, Benjamin | 2 | — | 0 | 2 | 2 100% |
| technical report | 2 | — | 0 | 3 | 3 100% |
| Reich, Martin | 2 | — | 0 | 2 | 2 100% |
| Gregorová, Magda | 2 | — | 0 | 2 | 2 100% |
| GradCheck: Analyzing classifier guidance gradients for conditional diffusion sampling | 2 | — | 0 | 2 | 2 100% |
| opus4.kobv.de | 2 | — | 0 | 2 | 2 100% |
| Regionalstudie | 2 | — | 0 | 2 | 2 100% |
| Väth, Philipp | 2 | — | 0 | 2 | 2 100% |
| Generative Example-Based Explanations: Bridging the Gap between Generative Modeling and Explainability | 2 | — | 0 | 2 | 2 100% |
| RIS | 2 | — | 0 | 77 | 77 100% |
| An Investigative Study Exploring Machine Learning Approaches for Optimizing Deep Brain Stimulation Programming | 2 | — | 0 | 2 | 2 100% |
| Permutation Equivariant Generative Adversarial Networks for Graphs | 2 | — | 0 | 2 | 2 100% |
| http://opus4.kobv.de/opus4-fau/frontdoor/index/index/docId/4875 | 2 | — | 0 | 2 | 2 100% |
| TRR 154 Preprint Server | 2 | — | 0 | 12 | 12 100% |
| Herrler, Rainer | 2 | — | 0 | 2 | 2 100% |
| Getting Started with the Maxima Plugin. SMath with Maxima Martin Kraska | 2 | — | 0 | 3 | 3 100% |
Frequently Asked Questions
What anchor texts are used to link to opus4.kobv.de?
This page shows all anchor texts found in backlinks pointing to opus4.kobv.de, sorted by the number of referring domains using each anchor. Anchor texts range from branded terms (like the domain name itself) to keyword-rich phrases that describe the linked content. The distribution of anchor texts reveals how other websites perceive and describe opus4.kobv.de.
What is anchor text?
Anchor text is the visible, clickable text in a hyperlink. Search engines use anchor text as a signal to understand what the linked page is about. For example, if many sites link to a page using the anchor text "best running shoes," search engines infer that the page is relevant to that topic. Anchor text appears in several forms: exact-match (contains target keywords), branded (uses the company or domain name), generic (like "click here"), and naked URLs.
Why is anchor text analysis important for SEO?
Anchor text analysis helps identify potential SEO risks and opportunities. A natural backlink profile has diverse anchor texts including branded terms, generic phrases, and topic-relevant keywords. Over-optimization, where too many backlinks use the same exact-match keyword anchor, can trigger search engine penalties. Conversely, understanding which anchors drive the most authority (measured by referring domain count and DR) helps prioritize link building efforts.
How many unique anchor texts does opus4.kobv.de have?
The anchor text report for opus4.kobv.de displays all distinct anchor texts grouped by their hash. Each row shows how many unique referring domains use that anchor, the total number of links, and the dofollow percentage. A high number of unique anchors generally indicates a healthy, natural backlink profile with diverse link sources.