Piperic Business Intelligence
similar sites
‹ profile

Sites similar to fewagner.com

Felix Wagner | Superconducting Qubits and Sensors, ETH Zurich · ranked by category · tech stack · backlink co-citation
66match
celsodantas.com
Celso Dantas - A blog about my studies and findings
1 co-citations1 shared tech1 shared categoryphysics
65match
geologypakistan.com
Dr. Rauf Nizami — Intellectual Contributions
1 co-citations1 shared tech0 shared categorygeology
55match
aplusbyalena.com
Alena, engineering tutor
1 co-citations0 shared tech1 shared categoryphysics
55match
hat-sols.com
Hatcher - Alg. Top. Solutions
1 co-citations0 shared tech1 shared categoryscience
55match
dharmadhikari.com
Amol Dharmadhikari's Home Page
1 co-citations0 shared tech1 shared categoryphysics
52match
maryam-zamani.com
Maryam Zamani — Personal Website
1 co-citations1 shared tech1 shared categoryphysics
52match
jhlee-materials.com
Jeonghwan Lee — Home
1 co-citations1 shared tech1 shared categoryphysics
52match
jjfdez.com
Javier Fernández
1 co-citations1 shared tech1 shared categoryphysics
52match
bolaeniwaye.com
Bolaji Eniwaye
1 co-citations1 shared tech1 shared categoryphysics
51match
grattalab.com
Fundamental Particles and Interactions at Stanford
0 co-citations1 shared tech1 shared categoryphysics
51match
febbslabs.com
Febbs Labs - Pioneering the Future of Energy
0 co-citations1 shared tech1 shared categoryphysics
50match
julien-houel.com
Julien Houel — Research
0 co-citations1 shared tech1 shared categoryphysics
50match
jaiselraja.com
Jaisel's Profile - Home
0 co-citations1 shared tech1 shared categoryphysics
50match
jondsnyder.com
Home - Jon D. Snyder
0 co-citations1 shared tech1 shared categoryscience
50match
adrienkuntz.com
Adrien Kuntz - Home
0 co-citations1 shared tech1 shared categoryphysics
50match
cbclement.com
Colin Clement
0 co-citations1 shared tech1 shared categoryphysics
50match
charlottewflowers.com
Charlotte Flowers
0 co-citations1 shared tech1 shared categoryphysics
50match
chasegesteland.com
Chase Gesteland
0 co-citations1 shared tech1 shared categoryscience

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.