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سایت شخصی دکتر اله مراد سیف – عضو هیات علمی و استاد تمام دانشگاه جامع امام حسین (ع) — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Economy →

DomainMatchTitleCountry/LangCategoryAI filesContactAI-protection
tccim.ir 55* match اتاق بازرگانی، صنایع، معادن و کشاورزی تهران fa Economy none
ce.cn 55* match 中国经济网——国家经济门户 China zh Economy email none
wiwo.de 55* match WirtschaftsWoche: Das führende Wirtschaftsmagazin | WiWo Germany de Economy none
nber.org 55* match National Bureau of Economic Research | NBER en EconomyDrupal emailphone none
destatis.de 55* match Startseite - Statistisches Bundesamt Germany de Economy none
stlouisfed.org 55* match Federal Reserve Bank of St. Louis | Economic Resources & Data United States~ en Economy none
repec.org 55* match RePEc: Research Papers in Economics en Economy email none
forbes.cz 55* match Forbes | I jedna věta vám může změnit život! Czechia cs EconomyWordPress robots email none
insee.fr 55* match Accueil − Insee − Institut national de la statistique et des études économiques | Insee France fr Economy none
aeaweb.org 55* match American Economic Association en Economy none
cbi.ir 28* match صفحه نخست fa Financial Industry none
iccima.ir 18* match اتاق بازرگانی ایران - اتاق بازرگانی، صنایع، معادن و کشاورزی ایران fa Government BusinessWordPress robots email none
ofogheeghtesad.com 18* match افق اقتصادی | سایت تحلیلی-خبری افق اقتصادی ایران و جهان fa EconomyWordPress robotsllms email none
eghtesadefarsi.com 18* match اقتصاد فارسی fa EconomyWordPress robotsllms none
eghtesadafarin.com 18* match اقتصاد آفرین | اخبار اقتصادی ایران و جهان | eghtesadafarin fa EconomyWordPressWooCommerce robotsllms email none
donya-e-eqtesad.com 18* match روزنامه دنیای اقتصاد | پرمخاطب ترین روزنامه اقتصادی کشور fa Economy robots none
eghtesadonline.com 18* match اقتصاد آنلاین fa Economy robots none
eghtesadnews.com 18* match اقتصادنیوز سایت مرجع اقتصاد ایران fa Economy robots none

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:

  • shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
  • same category whether they sit in the same business / industry category.
  • content & title how closely their titles and page descriptions line up in wording and meaning.

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.