EconPapers    
Economics at your fingertips  
 

Identifying attractive research fields for new scientists

Leonidas Akritidis (), Dimitrios Katsaros () and Panayiotis Bozanis ()
Additional contact information
Leonidas Akritidis: University of Thessaly
Dimitrios Katsaros: University of Thessaly
Panayiotis Bozanis: University of Thessaly

Scientometrics, 2012, vol. 91, issue 3, No 15, 869-894

Abstract: Abstract Prior to the beginning of a scientific career, every new scientist is obliged to confront the critical issue of defining the subject area where his/her future research will be conducted. Regardless of the capabilities of a new scholar, an erroneous selection may condemn a dignified effort and result in wasted energy, time and resources. In this article we attempt to identify the research fields which are attractive to these individuals. To the best of our knowledge, this is a new topic that has never been discussed or addressed in the literature. Here we formally set the problem and we propose a solution combining the characteristics of the attractive research areas and the new scholars. Our approach is compared against a statistical model which reveals popular research areas. The comparison of this method to our proposed model leads to the conclusion that not all trendy research areas are suitable for new scientists. A secondary outcome reveals the existence of scientific fields which although they are not so emerging, they are promising for scientists who are starting their career.

Keywords: Scientist; Author; Research area; Research field; Scientometrics; Attractive (search for similar items in EconPapers)
Date: 2012
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://link.springer.com/10.1007/s11192-012-0646-4 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:scient:v:91:y:2012:i:3:d:10.1007_s11192-012-0646-4

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11192

DOI: 10.1007/s11192-012-0646-4

Access Statistics for this article

Scientometrics is currently edited by Wolfgang Glänzel

More articles in Scientometrics from Springer, Akadémiai Kiadó
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:scient:v:91:y:2012:i:3:d:10.1007_s11192-012-0646-4