Since the mid-1990s, a new research area called webometrics based on bibliometric andinformetrics methods has been created [Norouzi, 2006]. Webometrics is the quantitativeanalysis of the web phenomenon employing methods of informetrics [Bjoneborn, Ingwersen,2004]. Due to the importance of the Web, some studies dealing with webometrics seek todescribe web and offer diverse statistics about some of the features and capabilities of theWeb sites [Noroozi Chakoli, 2012]. In EERQI analysis, the need for new retrieval andclustering techniques, and webometrics method mentioned (EERQI, 2008).On the other hand, the Web has developed into the most important scholarly communicationtool and has made more and more scientific information accessible [Kargar, 2011].The present paper seeks to investigate the situation of Estonia on the basis of the Rich Filesand to compare it with other CEE countries. On the other hand, it attempts to have a reviewof the status of scientific output, number of publications is an indicator of Scientific power (Vinkler, 1986), of Estonia in Scopus – that is one of the databases for scientific assessment-and to compare it with other CEE countries. Lastly, this paper will check whether there existsa correlation between the number of the CEE countries Rich Files and the number of their scientific product. In other words, we shall attempt to discover if the number of the RichFiles could represent the scientific ranking of a given CEE country?The Rich files, consisting of PDF, DOC, DOCX, PPT, have been singled out as the basis of our analysis because the majority of the scientific products are being issued in this these files formats since Webometrics , in its scientific assessment of universities, employs the number of Rich Files as one of its criteria which calls it Openness.

1. Assessment of scientific presence of Estonia in web; a new Approach
Hamzehali Nourmohammadi1
A. Keramatfar2
1 nourmohammadi.h@gmail.com
Shahed University, Tehran, Iran
Shahed University, Tehran, Iran
Key Words: Scientific ranking, Webometrics, Scopus, CEE Countries.
1. Introduction
Since the mid-1990s, a new research area called webometrics based on bibliometric and
informetrics methods has been created [Norouzi, 2006]. Webometrics is the quantitative
analysis of the web phenomenon employing methods of informetrics [Bjoneborn, Ingwersen,
2004]. Due to the importance of the Web, some studies dealing with webometrics seek to
describe web and offer diverse statistics about some of the features and capabilities of the
Web sites [Noroozi Chakoli, 2012]. In EERQI analysis, the need for new retrieval and
clustering techniques, and webometrics method mentioned (EERQI, 2008).
On the other hand, the Web has developed into the most important scholarly communication
tool and has made more and more scientific information accessible [Kargar, 2011].
The present paper seeks to investigate the situation of Estonia on the basis of the Rich Files
and to compare it with other CEE countries. On the other hand, it attempts to have a review
of the status of scientific output, number of publications is an indicator of Scientific power
(Vinkler, 1986), of Estonia in Scopus –that is one of the databases for scientific assessment-
and to compare it with other CEE countries. Lastly, this paper will check whether there exists
a correlation between the number of the CEE countries Rich Files and the number of their
scientific product. In other words, we shall attempt to discover if the number of the Rich
Files could represent the scientific ranking of a given CEE country?
The Rich files, consisting of PDF, DOC, DOCX, PPT, have been singled out as the basis of
our analysis because the majority of the scientific products are being issued in this these files

2. formats since Webometrics1
, in its scientific assessment of universities, employs the number
of Rich Files as one of its criteria which calls it Openness.
1. Methodology
The present paper operates within the field of webometrics. The key and essential tools for
webometrics researches are extensive search engines [Noruzi, 2006]. This study employs
Bing search engine, the third popular search engine [alexa.com]. Therefore, the presented
numbers are based on Bing index and are estimations of fact. To extract the number of Rich
Files in the Bing advance search section, first a country is chosen and then filetype:pdf,
filetype:doc, and filetype:ppt are input in its search box.
To discover the number of scientific products for a given country in Scopus, the expression
AFFILCOUNTRY(X) - with X being the name of the country- was used in advance search
section.
To investigate the existence of correlation between the ranking resulted from the number of
Rich Files and the ranking resulted from the number of articles Spearman correlation was
employed by SPSS.
List of CEE countries was extracted from Wikipedia2
and data were collected in February
2013.
2. Purpose of the Study
The most significant purpose of this research is to demonstrate a new approach for the
scientific ranking of CEE countries, similar to what ESI or SJR does, however this new
approach is based on webometrics method. Meanwhile, CEE contries will be ranked both
based on the number of documents in Scopus and the number of Rich files with an emphasis
on Estonia.
3. Findings
The Results of the study are presented in three subsections based on the questions raised
in the section2:
3.1 situation of Estonia on the basis of the Rich Files in comparison to CEE countries
1
webometrics.info
2
http://en.wikipedia.org/wiki/Central_and_Eastern_Europe

3. The results of this article illustrate that Germany has the highest number of Rich Files in CEE
Contries followed by Poland and Czech Republic. Estonia has 238900 Rich Files on web and
based on the number of Rich files is tenth in CEE countries. Lithuania has 274000 Rich Files
and is ninth; Latvia has 138000 Rich Files and is eleventh. Table 1 shows ranking on the
basis of Rich files:
Table 1. Number of CEE Countries Rich Files
Country PDF DOC&DOCX PPT Sum
Germany 10300000 315000 84000 10699000
Poland 2100000 368000 38200 2506200
Czech Republic 905000 143000 29100 1077100
Hungary 838000 172000 29000 1039000
Romania 872000 146000 14000 1032000
Slovakia 480000 78800 12300 571100
Croatia 402000 63300 15600 480900
Bulgaria 309000 128000 10100 447100
Lithuania 274000 92200 10100 376300
Estonia 194000 34300 10600 238900
Latvia 138000 6940 4180 149120
Bosnia-Herzegovina 72600 12000 1610 86210
Macedonia 38400 6260 701 45361
Albania 4310 5200 75 9585
Slovenia 53 12 1 66
Serbia 0 0 0 0
Montenegro - - - -
Kosovo - - - -
3.2 Review of the status of scientific output of Estonia in Scopus, compared with other
CEE countries
The first three contries appear in exactly the same order in ranking based on the number of
documents in Scopus.
Based on the number of documents in Scopus, Estonia has 20323 documents and is twelfth
among CEE countries, higher than Latvia with 12546 documents, and lower than Lithuania
with 25735 documents. . Table 2 shows ranking on the basis of document in Scopus:
Table 2. Number of CEE countries documents in Scopus
Country Number of document
Germany 2686860

4. Poland 460466
Czech Republic 192930
Hungary 174702
Romania 113479
Bulgaria 72340
Croatia 62029
Slovakia 61234
Slovenia 54048
Serbia 29198
Lithuania 25735
Estonia 20323
Latvia 12546
Macedonia 5942
Bosnia-Herzegovina 4632
Albania 1649
Montenegro 1086
Kosovo 0
3.3 If the number of the Rich Files could represent the scientific ranking of a given CEE
country?
Finally, it was concluded that the correlation between ranking of CEE contries based on Rich
Files and ranking of CEE countries based on scientific documents in Scopus is significant at
the 0.01 level and the correlation coefficient is .844. It signifies that ranking based on Rich
files for CEE countries is valid.
Conclusion
The study showed a way to compare scientific power of CEE countries using webometrics
method. Since the web information exposure without any scientific assessment on websites,
webometrics data are different from citation indexes data, hence this data has lower quality
and this means that in the end more webometrics instead of solid evidence, offers the
awareness [Noroozi Chakoli, 2012]. So told there is a correlation between rankings of CEE
contries based on Rich Files and ranking of CEE countries based on scientific documents in
Scopus.
Based on this method Germany, Poland and Czech Republic are First Class to the third,
Estonia ranked tenth.

5. References:
An analysis and evaluation of existing methods and indicators for quality assessment of
scientific publications (2008). European Educational Research Quality Indicators (EERQI).
Vinkler, P (1986). Evaluation of some methods for the relative assessment of scientific
publications. Scientometrics, Volume: 10, Issue: 3-4, pp:157-177.
Noruzi, Alireza (2006). The Impact Factor: A Critical Review. The Electronic Library, 24.
Kargar, Mohammad Javad (2011). University Website Ranking from Usability Criteria
Perspective; A Case Study in IRAN. International Journal of Advancements in Computing
Technology(IJACT). Vlume3, Number1
Bjoneborn, Lennart, Ingwersen, Peter (2004). Toward a Basic Framework for Webometrics.
Journal of the American Society for Information Science and Technology.
Noroozi Chakoli, Abdolreza (2012). Introduction to Scientometrics.
Webometrics Ranking of World Universities’, URL : www.webometrics.info.