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Top 5% Institutions and Economists in the Field of Neuroeconomics, as of February 2009

This page shows one of the many rankings computed with RePEc data. They are based on data about authors who have registered with the RePEc Author Service, institutions listed on EDIRC, bibliographic data collected by RePEc, citation analysis performed by CitEc and popularity data compiled by LogEc. To find more rankings, historical data and detailed methodology, click here. Or see the ranking FAQ. For Neuroeconomics, these are 21 authors affiliated with 83 institutions.
All authors classified in this field.

Top 5% institutions in the field of Neuroeconomics

The scores of institutions in each field are determined by a weighted sum of all authors affiliated with the respective institutions. The weights are determined, for each author, by the proportion of all working papers announced in NEP that have also been announced in NEP-NEU (Neuroeconomics).
RankScoreInstitution
11.47Department of Economics, Stanford University, Palo Alto
22.69Department of Economics, University of Stirling, Stirling
33.33Department of Economics, University of California-San Diego (UCSD), La Jolla
44.03College of Business Administration, University of Central Florida, Orlando

Top 5% authors in the field of Neuroeconomics

This ranking is based on registered authors only, and only those who are classified within
this field. Authors can register at the RePEc Author Service.
RankScoreAuthor
1.1.82Sheila Christine Dow

The data presented here is experimental. It is based on a limited sample of the research output in Economics and Finance. Only material catalogued in RePEc is considered. For any citation based criterion, only works that could be parsed by the CitEc project are considered. For any ranking of people, only those registered with the RePEc Author Service can be taken into account. And for rankings of institutions, only those listed in EDIRC and claimed as affiliation by the respective, registered authors can be measured. Thus, this list is by no means based on a complete sample. You can help making this more comprehensive by encouraging more publications to be listed (instructions) and more authors to register (form). For more details on the various rankings that are available as well for documentation, follow this link.

Credits:

We do our best, but we cannot exclude errors.