Piperic Business Intelligence
similar sites
‹ profile

Sites similar to jcholbrook.com

Jordan Holbrook · ranked by category · tech stack · backlink co-citation
72match
jbduarte.com
João B. Duarte
7 co-citations4 shared tech1 shared categoryeconomy
64match
jingyanguo.com
Jingyan (Jean) Guo
6 co-citations3 shared tech1 shared categoryeconomy
62match
gerodasbach.com
Home
5 co-citations3 shared tech1 shared categoryeconomy
62match
jmquintero.com
Jose M. Quintero - Jose M. Quintero
4 co-citations4 shared tech1 shared categoryeconomy
62match
jareddeankatz.com
About Me - Jared Dean Katz
5 co-citations4 shared tech1 shared categoryeconomy
60match
manaswinirao.com
About me - Manaswini Rao
5 co-citations3 shared tech1 shared categoryeconomy
58match
hayunsong.com
About Me - Hayun Song / Ph.D. Economics
5 co-citations3 shared tech1 shared categoryeconomy
56match
elenaperra.com
Welcome | Welcome!
5 co-citations4 shared tech1 shared categoryeconomy
55match
diegoscardoso.com
Diego S. Cardoso
3 co-citations4 shared tech1 shared categoryeconomy
53match
malekhassouneh.com
Malek Hassouneh
6 co-citations2 shared tech1 shared categoryeconomy
53match
jijeebishabhattarai.com
Jijee Bhattarai – PhD Economics Candidate at Binghamton University (SUNY) Jijeebisha Bhattarai
6 co-citations2 shared tech1 shared categoryeconomy
53match
hamidhabibi.com
Welcome to my website! - Hamidreza Habibi UC Santa Cruz
6 co-citations2 shared tech1 shared categoryeconomy
52match
julianreif.com
Julian Reif
3 co-citations4 shared tech1 shared categoryeconomy
51match
diegoascarza.com
About - Diego Ascarza
5 co-citations2 shared tech1 shared categoryeconomy
50match
julienneves.com
Julien Neves - Julien Neves
5 co-citations3 shared tech1 shared categoryeconomy
50match
joaogoliveira.com
Joao G. Oliveira
5 co-citations3 shared tech1 shared categoryeconomy
49match
elishayu.com
Welcome to my page! - Elisha Yu
5 co-citations4 shared tech0 shared categorybusiness-accounting-and-finance
48match
kan-yao.com
Welcome! - Kan Yao
5 co-citations2 shared tech1 shared categoryeconomy

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.