[InetBib] Special Issue "Combining bibliometrics and information retrieval" in Scientometrics published

["Mayr-Schlegel, Philipp" <Philipp.Mayr-Schlegel@xxxxxxxxx>]

Dear colleagues,

the Special Issue "Combining bibliometrics and information retrieval" will 
appear in the March issue of Scientometrics. Here is the link to the Springer 
system http://link.springer.com/journal/11192/102/3/page/2.
Below you will find the bibliographic information of the editorial and the 
eight full papers. Please distribute the information about this special issue 
to interested colleagues. Our thanks go to all authors and reviewers who have 
contributed.

Editorial:

Mayr, P., & Scharnhorst, A. (2015). Scientometrics and Information Retrieval - 
weak-links revitalized. Scientometrics, 102(3), 2193-2199. 
doi:10.1007/s11192-014-1484-3

Full papers:

Wolfram, D. (2015). The Symbiotic Relationship Between Information Retrieval 
and Informetrics. Scientometrics, 102(3), 2201-2214. 
doi:10.1007/s11192-014-1479-0

Glänzel, W. (2015). Bibliometrics-aided retrieval - where information retrieval 
meets scientometrics. Scientometrics, 102(3), 2215-2222. 
doi:10.1007/s11192-014-1480-7

Zitt, M. (2015). Meso-level retrieval: IR-bibliometrics interplay and hybrid 
citation-words methods in scientific fields delineation. Scientometrics, 
102(3), 2223-2245. doi:10.1007/s11192-014-1482-5

Bar-Ilan, J., & Levene, M. (2015). The hw-rank: An h-index variant for ranking 
web pages. Scientometrics, 102(3), 2247-2253. doi:10.1007/s11192-014-1477-2

Karlsson, A., Hammarfelt, B., Steinhauer, H. J., Falkman, G., Olson, N., 
Nelhans, G., & Nolin, J. (2015). Modeling uncertainty in bibliometrics and 
information retrieval: an information fusion approach. Scientometrics, 102(3), 
2255-2274. doi:10.1007/s11192-014-1481-6

White, H. D. (2015). Co-cited Author Retrieval and Relevance Theory: Examples 
from the Humanities. Scientometrics, 102(3), 2275-2299. 
doi:10.1007/s11192-014-1483-4

Abbasi, M. K., & Frommholz, I. (2015). Cluster-based Polyrepresentation as 
Science Modelling Approach for Information Retrieval. Scientometrics, 102(3), 
2301-2322. doi:10.1007/s11192-014-1478-1

Mutschke, P., & Mayr, P. (2015). Science Models for Search. A Study on 
Combining Scholarly Information Retrieval and Scientometrics. Scientometrics, 
102(3), 2323-2345. doi:10.1007/s11192-014-1485-2
Best, Philipp

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Email: philipp.mayr@xxxxxxxxx
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