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Professor Shikha B. Silwal, Ph.D. – Professor of Economics, Washington and Lee University — 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
carolinefohlin.org ↗	72 match 1 shared topics	Caroline Fohlin – Professor of Economics, Emory University	en	economy WordPress	robotsllmsaihumans	emailphone	none
guirkinger.com ↗	70 match 1 shared topics	Catherine Guirkinger, Professor of economics, University de Namur	en	economy WordPress	robotsllmsaihumans	emailphone	none
katiejoblack.com ↗	68 match 1 shared topics	Katie Jo Black – Assistant Professor of Economics	en	economy WordPress	robotsllmsaihumans	emailphone	none
mikegeruso.com ↗	68 match 1 shared topics	Michael Geruso – Associate Professor of Economics	en	economy WordPress	robotsllmsaihumans	emailphone	none
christophercotton.ca ↗	68 match 1 shared topics	Chris Cotton – Department of Economics, Queen's University	Canada en	economy WordPress	robotsllmsaihumans	emailphone	none
mbinder.net ↗	68 match 1 shared topics	Prof. Dr. Martin Binder \| Professor of Socio-Economics, Universität der Bundeswehr München	en	economy WordPress	robotsllmsaihumans	emailphone	none
gustavotorrens.com ↗	66 match 1 shared topics	Gustavo Torrens \| Associate Professor • Department of Economics • IU Bloomington	en	economy WordPress	robotsllmsaihumans	emailphone	none
economicsandpolicy.ca ↗	66 match 1 shared topics	Economics and Policy – The John Deutsch Institute for the Study of Economic Policy @ Queen's University	Canada en	economy WordPress	robotsllmsaihumans	emailphone	none
chanelleduley.com ↗	66 match 1 shared topics	Chanelle Duley \| Lecturer in Economics at the University of Auckland	en	economy	robotsllmsaihumans	emailphone	none
kasimsaiyyad.com ↗	66 match 1 shared topics	Kasim Saiyyad \| PhD Candidate, Applied Economics, Cornell University	en	economy WordPress	robotsllmsaihumans	emailphone	none
cclapp.org ↗	65 match 1 shared topics	Christopher M. Clapp \| Associate Instructional Professor \| The University of Chicago	en	economy WordPress	robotsllmsaihumans	emailphone	none
rangu.org ↗	65 match 1 shared topics	Ran Gu - Associate Professor, City St George’s, University of London	en	economy	robotsllmsaihumans	emailphone	none
randallwalsh.com ↗	65 match 1 shared topics	Randall Walsh Economist @ University of Pittsburgh – Randy Walsh Pittsburgh Economist	en	economy WordPress	robotsllmsaihumans	emailphone	none
mikenoel.com ↗	64 match 1 shared topics	Noel Economics \| Competition and Antitrust Economist	en	economy	robotsllmsaihumans	emailphone	none
porteconomics.eu ↗	64 match 1 shared topics	PortEconomics – Port Economics, Management & Policies	European Union en	economy WordPress	robotsllmsaihumans	emailphone	none
carringtonccedc.com ↗	64 match 1 shared topics	CCEDC – Chamber of Commerce and Economic Development	en	economy WordPress	robotsllmsaihumans	emailphone	none
case-research.eu ↗	64 match 1 shared topics	CASE – Center for Social and Economic Research	European Union en	economy WordPress	robotsllmsaihumans	emailphone	none
tsoutsoura.com ↗	64 match 1 shared topics	Margarita Tsoutsoura \| Associate Professor of Finance	en	economy	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.