Anchors
| Anchor text | Ref. domains ▾ | Top DR | Ref. pages | Links to target | Dofollow links |
|---|---|---|---|---|---|
| Bernd Sturmfels | 10 | — | 0 | 10 | 9 90% |
| University of California, Berkeley | 4 | — | 0 | 5 | 5 100% |
| Order of arithmetic operations | 4 | — | 0 | 4 | 0 0% |
| Ken Ribet | 3 | — | 0 | 3 | 3 100% |
| Lin Lin | 3 | — | 0 | 58 | 58 100% |
| David Nadler | 3 | — | 0 | 125 | 125 100% |
| UC Berkeley | 3 | — | 0 | 3 | 3 100% |
| 3 | — | 0 | 3 | 2 66.7% | |
| Vera Serganova | 3 | — | 0 | 5 | 5 100% |
| here | 3 | — | 0 | 3 | 3 100% |
| Ian Agol | 2 | — | 0 | 2 | 2 100% |
| Alan Hammond | 2 | — | 0 | 2 | 2 100% |
| Constantin Teleman | 2 | — | 0 | 3 | 3 100% |
| Berkeley | 2 | — | 0 | 2 | 2 100% |
| published paper from Berkley | 2 | — | 0 | 2 | 0 0% |
| Rob Kirby | 2 | — | 0 | 2 | 2 100% |
| alternative download | 2 | — | 0 | 2 | 1 50% |
| Anastasia Chavez | 2 | — | 0 | 2 | 2 100% |
| post by Berkley university | 2 | — | 0 | 2 | 0 0% |
| Peter Koroteev | 2 | — | 0 | 2 | 2 100% |
| Michael Hutchings | 2 | — | 0 | 2 | 2 100% |
| Edward Frenkel | 2 | — | 0 | 2 | 2 100% |
| Richard Borcherds | 2 | — | 0 | 28 | 28 100% |
| Mathematics | 2 | — | 0 | 3 | 3 100% |
| Maciej Zworski | 2 | — | 0 | 2 | 2 100% |
| Elwyn Berlekamp | 2 | — | 0 | 2 | 2 100% |
| Hung-Hsi Wu | 2 | — | 0 | 83 | 83 100% |
| Qiuyu Ren | 2 | — | 0 | 2 | 2 100% |
| Lior Pachter | 2 | — | 0 | 3 | 3 100% |
| Charlie Crissman | 1 | — | 0 | 1 | 1 100% |
| The Porn Math Guy | 1 | — | 0 | 1 | 1 100% |
| http://math.berkeley.edu/~nilten/teaching/antiviolence.html | 1 | — | 0 | 1 | 1 100% |
| http://www.math.berkeley.edu/~benrg/huffyuv.html | 1 | — | 0 | 1 | 1 100% |
| archive | 1 | — | 0 | 1 | 1 100% |
| Profil | 1 | — | 0 | 6 | 6 100% |
| this | 1 | — | 0 | 1 | 1 100% |
| Level set methods and fast marching methods | 1 | — | 0 | 1 | 1 100% |
| cours de l’université de Berkeley | 1 | — | 0 | 1 | 1 100% |
| strangest math-related web-site | 1 | — | 0 | 1 | 1 100% |
| Dept. of Mathematics, UC Berkeley, USA: | 1 | — | 0 | 1 | 1 100% |
| Elwyn Berlekamp’s website | 1 | — | 0 | 1 | 1 100% |
| An Invitation to General Algebra and Universal Constructions | 1 | — | 0 | 1 | 0 0% |
| Past PhD Students in UC Berkeley | 1 | — | 0 | 1 | 1 100% |
| Official website | 1 | — | 0 | 1 | 0 0% |
| link | 1 | — | 0 | 3 | 3 100% |
| Felix Weilacher | 1 | — | 0 | 1 | 1 100% |
| Lecture notes on representation theory | 1 | — | 0 | 1 | 1 100% |
| "Shape modeling with front propagation: a level set approach" | 1 | — | 0 | 1 | 0 0% |
| Peter Teichner | 1 | — | 0 | 1 | 1 100% |
| Finding a Postdoctoral Position in Mathematics | 1 | — | 0 | 1 | 1 100% |
Frequently Asked Questions
What anchor texts are used to link to math.berkeley.edu?
This page shows all anchor texts found in backlinks pointing to math.berkeley.edu, 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 math.berkeley.edu.
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 math.berkeley.edu have?
The anchor text report for math.berkeley.edu 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.