Showing 1 - 10 of 61
In socio-economic sciences the RePEc network (Research Papers in Economics) has become an essential source for the gathering and the spread of both existing and new economic research. Furthermore, it is currently the largest bibliometric database in economic sciences containing 33 different...
Persistent link: https://www.econbiz.de/10009489290
We construct a meta-ranking of 315 economics journals based on 38 different individual rankings. Our ranking incorporates both bibliometric measures from three different databases (Web of Knowledge, RePEc and Google Scholar) and previous rankings in the literature. Furthermore, we account for...
Persistent link: https://www.econbiz.de/10011418008
Standard economics omits the role of narratives (the stories that people tell themselves and others) when they make all kinds of decisions. Narratives play a role in understanding the environment; focusing attention; predicting events; motivating action; assigning social roles and identities;...
Persistent link: https://www.econbiz.de/10011422534
This articles investigates the recent trends in co-authorship in economics. Using data from more than 700.000 journal articles we show that the average number of authors per article has increased over the last years. This process is likely to be continued in the future. In a regression analysis...
Persistent link: https://www.econbiz.de/10011309542
It is well-known that the distribution of citations to articles in a journal is skewed. We ask whether journal rankings based on the impact factor are robust with respect to this fact. We exclude the most cited paper, the top 5 and 10 cited papers for 100 economics journals and recalculate the...
Persistent link: https://www.econbiz.de/10010422064
We apply the test of Ijiri and Simon (1974) to a large data set of authors in economics. This test has been used by Tol (2009, 2013a) to identify a (within-author) Matthew effect for authors based on citations. We show that the test is quite sensitive to its underlying assumptions and identifies...
Persistent link: https://www.econbiz.de/10010412062
We introduce archetypal analysis as a tool to describe and categorize scientists. This approach identifies typical characteristics of extreme ('archetypal') values in a multivariate data set. These positive or negative contextual attributes can be allocated to each scientists under...
Persistent link: https://www.econbiz.de/10009682823
In this article, we revisit the analysis of Laband and Tollison (2006) who documented that articles with two authors in alphabetical order are cited much more often than non-alphabetized papers with two authors in the American Economic Review and the American Journal of Agricultural Economics....
Persistent link: https://www.econbiz.de/10012601991
We investigate the relationship between article title characteristics and citations in economics using a large data set from Web of Science. Our results suggest that articles with a short title that also contains a non-alphanumeric character achieve a higher citation count.
Persistent link: https://www.econbiz.de/10011571620
In this paper we transfer the Elo rating system, which is widely accepted in chess, sports and other disciplines, to rank scientific journals. The advantage of the Elo system is the explicit consideration of the factor time or the history of a journal's performance. Most other rankings that are...
Persistent link: https://www.econbiz.de/10011580615