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Elizabeth Popp Berman – Professor of Organizational Studies, University of Michigan — 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 →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
mirogabrovski.com ↗	71 match 1 shared topics	Miroslav Gabrovski \| Associate Professor of Economics, University of Hawaii Manoa	US~ en	economy	robotsllmsaihumans	emailphone	none
ihlanfeldt.com ↗	70 match 1 shared topics	Keith Ihlanfeldt – Florida State University Devoe Moore Eminent Scholar and Professor of Economics	en	economy WordPress	robotsllmsaihumans	emailphone	none
suchitagarwal.com ↗	70 match 1 shared topics	Shruti Sharma - Associate Professor - City University of New York	en	economy Drupal	robotsllmsaihumans	emailphone	none
kurtlavetti.com ↗	69 match 1 shared topics	Kurt Lavetti, Professor of Economics, The Ohio State University	US~ en	economy	robotsllmsaihumans	emailphone	none
christian-proano.org ↗	68 match 1 shared topics	Christian R. Proaño \| University Professor of Economics, Otto-Friedrich-Universität Bamberg	en	economy WordPress	robotsllmsaihumans	emailphone	none
mingyaoxu.com ↗	67 match 1 shared topics	Derrick Xu \| Assistant Professor of Economics	en	economy	robotsllmsaihumans	emailphone	none
cihanartunc.com ↗	67 match 1 shared topics	Cihan Artunç – Associate Professor of Economics, Middlebury College	US~ en	economy WordPress	robotsllmsaihumans	emailphone	none
ronaldratti.com ↗	66 match 1 shared topics	Professor Ronald A. Ratti - Home	en	economy Weebly	robotsllmsaihumans	emailphone	none
yuejunzhao.com ↗	66 match 1 shared topics	Yuejun Zhao – Lecturer in Economics, University of Edinburgh	en	economy WordPress WooCommerce	robotsllmsaihumans	emailphone	none
zachbethune.com ↗	66 match 1 shared topics	Zach Bethune - Homepage \| Associate Professor	US~ en	economy	robotsllmsaihumans	emailphone	none
suhyunjung.com ↗	66 match 1 shared topics	Suhyun Jung, Ph.D. – Assistant Professor of Economics, Forest Ecosystems & Society, Oregon State University	en	economy WordPress	robotsllmsaihumans	emailphone	none
sueconclub.com ↗	66 match 1 shared topics	Salisbury University Econ Club \| Salisbury University Economics Club	en	economy	robotsllmsaihumans	emailphone	none
adamsmithprogram.org ↗	65 match 1 shared topics	Adam Smith Program · Department of Economics · George Mason University	US~ en	economy	robotsllmsaihumans	emailphone	none
henningmeyer.com ↗	65 match 1 shared topics	Professor Henning Meyer	en	economy	robotsllmsaihumans	emailphone	none
clarkhoskin.com ↗	65 match 1 shared topics	Clark Hoskin – Tourism and Economic Development Professional	en	economy WordPress	robotsllmsaihumans	emailphone	none
claasmertens.com ↗	65 match 1 shared topics	Claas Mertens – I research geoeconomics — international economic conflict, weaponized interdependence, and the political economy of climate regulation. I am a Research Fellow at the University of Oxford's Blavatnik School of Government and a Junior Research Fellow of Worcester College,	en	economy WordPress	robotsllmsaihumans	emailphone	none
icofesp.com ↗	65 match 1 shared topics	ICOFESP – IV. International Congress On Finance, Economy And Sustainable Policies	en	economy WordPress	robotsllmsaihumans	emailphone	none
rolandrathelot.com ↗	65 match 1 shared topics	Roland Rathelot – Professor of Economics, ENSAE, IP Paris, and CREST	en	economy WordPress	robotsllmsaihumans	emailphone	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.