Anchors
| Anchor text | Ref. domains ▾ | Top DR | Ref. pages | Links to target | Dofollow links |
|---|---|---|---|---|---|
| Informatica | 5 | — | 0 | 9 | 9 100% |
| 5 | — | 0 | 7 | 7 100% | |
| URL | 2 | — | 0 | 4 | 4 100% |
| Electronic Edition | 2 | — | 0 | 7 | 7 100% |
| strani revije. | 1 | — | 0 | 1 | 1 100% |
| 1977. - 2012. | 1 | — | 0 | 2 | 2 100% |
| spletni strani revije. | 1 | — | 0 | 1 | 1 100% |
| tu | 1 | — | 0 | 4 | 4 100% |
| Ta, X.-H., Gaudou, B., Longin, D., Ho, T.V., 2017. Emotional contagion model for group evacuation simulation. Informatica 41. | 1 | — | 0 | 1 | 1 100% |
| [link] | 1 | — | 0 | 1 | 1 100% |
| special edtiion of the Informatica journal | 1 | — | 0 | 1 | 1 100% |
| spletni strani revije | 1 | — | 0 | 6 | 6 100% |
| revije | 1 | — | 0 | 2 | 2 100% |
| https://www.informatica.si/index.php/informatica/article/view/261/258 | 1 | — | 0 | 1 | 1 100% |
| Publisher Link | 1 | — | 0 | 1 | 1 100% |
| strani revije | 1 | — | 0 | 1 | 1 100% |
| 1977. - 2013. | 1 | — | 0 | 1 | 1 100% |
| Full Paper | 1 | — | 0 | 1 | 1 100% |
| revije. | 1 | — | 0 | 1 | 1 100% |
| Computational Trust in Web Content Quality: A Comparative Evalutation on the Wikipedia Project | 1 | — | 0 | 1 | 1 100% |
| http://www.informatica.si/index.php/informatica/article/view/2173 | 1 | — | 0 | 1 | 1 100% |
| 1 | — | 0 | 1 | 1 100% | |
| spletni strani revije. | 1 | — | 0 | 1 | 1 100% |
| na spletni strani revije | 1 | — | 0 | 2 | 2 100% |
| https://www.informatica.si | 1 | — | 0 | 1 | 1 100% |
| District-Level Rainfall and Cloudburst Prediction Using XGBoost: A Machine Learning Approach for Early Warning Systems. | 1 | — | 0 | 1 | 1 100% |
| Hybrid CatBoost and SVR Model for Earthquake Prediction Using the LANL Earthquake Dataset | 1 | — | 0 | 1 | 1 100% |
| FREE Full text | 1 | — | 0 | 1 | 1 100% |
| [paper] | 1 | — | 0 | 2 | 2 100% |
| http://www.informatica.si/index.php/informatica/article/view/2173/1215 | 1 | — | 0 | 1 | 1 100% |
| 1 | — | 0 | 1 | 1 100% | |
| 1 | — | 0 | 1 | 1 100% | |
| View | 1 | — | 0 | 1 | 1 100% |
| http://www.informatica.si/index.php/informatica/article/view/2229 | 1 | — | 0 | 1 | 1 100% |
| 1 | — | 0 | 1 | 1 100% | |
| [doi] | 1 | — | 0 | 10 | 10 100% |
| Website of the journal | 1 | — | 0 | 1 | 1 100% |
| spletni strani revije | 1 | — | 0 | 3 | 3 100% |
| 1 | — | 0 | 1 | 1 100% | |
| preventing worst-case outcomes from artificial intelligence. | 1 | — | 0 | 1 | 1 100% |
| strani revije | 1 | — | 0 | 9 | 9 100% |
| User Annotations as a Context for Related Document Search on the Web and Digital Libraries. | 1 | — | 0 | 1 | 1 100% |
| spletni strani revije. | 1 | — | 0 | 1 | 1 100% |
| Informatica* 33/1 | 1 | — | 0 | 1 | 1 100% |
| www.informatica.si/index.php/informatica/article/view/1665 | 1 | — | 0 | 1 | 1 100% |
| spletni strani revije | 1 | — | 0 | 1 | 1 100% |
Frequently Asked Questions
What anchor texts are used to link to informatica.si?
This page shows all anchor texts found in backlinks pointing to informatica.si, 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 informatica.si.
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 informatica.si have?
The anchor text report for informatica.si 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.