Social Science Research Network (SSRN) Releases Updated World Author Rankings For Scholarly Articles

Crowd Funding Articles by North Carolina Economist, Thomas Vass, Gaining In Popularity Among World's Economists. End Quote

Myrtle Beach-Conway-North Myrtle Beach, SC (1888PressRelease) June 27, 2013 - The Social Science Research Network (SSRN.com), the world's #1 Open Access Repository for scholarly articles (http://repositories.webometrics.info/toprep.asp) released its updated global rankings of economic and social science writers. The SSRN eLibrary currently has 490,000 paper abstracts from 229,000 authors and received 70,000 new full-text submissions in the past year.

According to data released on June 25, 2013, by Dr. Michael C. Jensen, Chairman, Managing Director of Social Science Electronic Publishing, Inc., articles by regional economist Thomas Vass had the following statistics:

4,675 TOTAL DOWNLOADS
844 DOWNLOADS IN THE LAST 12 MONTHS
28,565 TOTAL ABSTRACT VIEWS

From inception of his 72 article contributions on SSRN, Vass' overall rank of 4,540 among the 229,000 authors places him in the top 2% of all writers in the world.

In the past 12 months, his author rank of 3,869, places him at the top 1.6% of writers on the SSRN platform.

"I appreciate the platform that Michael Jensen and his colleagues at SSRN provide for me to write about my interest in technology evolution," said Vass. Recently, I have been writing about the relationship between crowd funding and regional economic development.

Vass indicate that one of his articles has been widely read on the SSRN platform.

HOW CROWD FUNDING SOLVES ONE OF THE BIGGEST CAPITAL MARKET GAPS IN AMERICA: UNLEASHING A TORRENT OF GROWTH CAPITAL FOR SMALL PRIVATE ESTABLISHED TECHNOLOGY FIRMS
Stable short-form URL for this paper:
http://ssrn.com/abstract=2031051

Vass is the author of Predicting Technology: Identifying Future Market Opportunities and Disruptive Technologies (2007), that explains his theory of technology evolution. He is the holder of a 2007 investment method patent for selecting technology stocks that is based upon his economic research. His archive of scholarly articles is available at: http://ssrn.com/author=831853

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