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eecs.berkeley.edu

Backlink analytics and domain authority

Anchors
All Dofollow Nofollow UGC DR ▾ Ref. domains ▾ Ref. pages ▾ Links to target ▾
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50 anchors All New Lost
Anchor text Ref. domains ▾ Top DR Ref. pages Links to target Dofollow links
UC Berkeley 10 0 10 10 100%
EECS 8 0 372 371 99.7%
Department of Electrical Engineering and Computer Sciences 8 0 8 7 87.5%
Electrical Engineering and Computer Sciences 7 0 56 56 100%
6 0 11 10 90.9%
Trevor Darrell 6 0 6 5 83.3%
Electrical Engineering and Computer Science 4 0 4 4 100%
here 4 0 9 6 66.7%
UC Berkeley EECS 3 0 4 4 100%
Professor Armando Fox 3 0 3 3 100%
University of California, Berkeley 3 0 3 3 100%
Department of Electrical Engineering and Computer Science 3 0 3 3 100%
Paper 3 0 5 3 60%
"MOS Transistor - Electrical Engineering & Computer Science" 3 0 3 0 0%
Sanjit A. Seshia 3 0 3 3 100%
Latency numbers every programmer should know 2 0 2 2 100%
Ken Goldberg 2 0 2 2 100%
PDF 2 0 3 3 100%
Berkeley 2 0 3 3 100%
Jitendra Malik 2 0 3 3 100%
"The Landscape of Parallel Computing Research: A View from Berkeley" 2 0 2 1 50%
Stuart Russell 2 0 2 2 100%
The Berkeley Internet Name Domain Server 2 0 2 0 0%
Ruzena Bajcsy 2 0 2 2 100%
Rising Stars in EECS 2 0 3 1 33.3%
Fundamentals of Wireless Communication 2 0 2 2 100%
Link to publication 2 0 2 2 100%
https://www.eecs.berkeley.edu/~jannesari/ 2 0 2 2 100%
Alexei Efros 2 0 2 2 100%
modeling and control of legged locomotion 1 0 1 1 100%
CIL 1 0 1 1 100%
Kannan Ramchandran 1 0 1 1 100%
[1] 1 0 1 0 0%
Multiscale Combinatorial Grouping 1 0 1 1 100%
A Berkeley View of Cloud Computing 1 0 1 1 100%
Aditi Muralidharan 1 0 2 2 100%
Project 1 0 5 0 0%
Summer Undergraduate Program in Engineering Research at Berkeley (SUPERB)  1 0 1 1 100%
SPICE2: A Computer Program to Simulate Semiconductor Circuits Lawrence Nagel thesis 1975 1 0 1 0 0%
University of California Berkeley Summer Undergraduate Program in Engineering Research (Deadline: January 25, 2026) 1 0 1 1 100%
http://www.eecs.berkeley.edu/Pubs/TechRpts/2009/EECS-2009-28.pdf 1 0 1 1 100%
Pointers on Giving a Talk 1 0 1 1 100%
Simulation Techniques for Electromagnetic Interference (EMI) and Signal Integrity (SI) in High-Speed Electronic Circuits 1 0 1 1 100%
Vijay D'Silva 1 0 1 0 0%
Prof Alistair Sinclair 1 0 1 1 100%
MapReduce Online 1 0 1 1 100%
the department's page 1 0 1 1 100%
http://www.eecs.berkeley.edu/Faculty/Homepages/chang-hasnain.html 1 0 1 1 100%
Write-Avoiding Algorithms 1 0 1 1 100%
AVR-GCC package 1 0 2 2 100%
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Frequently Asked Questions
What anchor texts are used to link to eecs.berkeley.edu?
This page shows all anchor texts found in backlinks pointing to eecs.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 eecs.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 eecs.berkeley.edu have?
The anchor text report for eecs.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.