signa.at

Signa Holding GmbH is Austria’s largest privately owned real estate company. Signa was founded in 2000 by the Tyrolean entrepreneur René Benko. Over the years, the two-man company with an initial focus on classic real estate development has become a pan-European real estate group with more than 150 employees and offices in Vienna, Innsbruck, Munich, Düsseldorf, Luxembourg, Zurich, Bolzano, Berlin and Hamburg. The principal focus of the Signa Group of Companies is the long-term investment in real estate in prime city centre locations. Additionally Signa became the biggest owner of malls in Mid Europe with over 46.000 employees. More information...

Multilingual Wikipedia

In June 2020 the website signa.at was on the 122,346th place in the ranking of the most reliable and popular sources in multilingual Wikipedia from readers' point of view (PR-score). If we consider only frequency of appearance of this source in references of Wikipedia articles (F-score), this website was on the 192,862nd place in June 2020. From Wikipedians' point of view, "signa.at" is the 269,363rd most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before pennineteaandcoffee.co.uk and after gerenjianli.com in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
122,346th place
152,978
+19,633
AR-score:
269,363rd place
8,348
+85
F-score:
192,862nd place
32
+1

German Wikipedia (de)

PR-score:
15,866th place
96,142
+20,329
AR-score:
43,766th place
5,511
+8
F-score:
28,400th place
16
0

English Wikipedia (en)

PR-score:
150,716th place
55,902
-1,029
AR-score:
339,648th place
2,602
+43
F-score:
195,914th place
10
0

Belarusian (Taraškievica) Wikipedia (be-x-old)

PR-score:
1,680th place
600
0
AR-score:
5,781st place
200
0
F-score:
1,887th place
5
0

Bavarian Wikipedia (bar)

PR-score:
1,260th place
333
+333
AR-score:
2,879th place
33
+33
F-score:
3,155th place
1
+1

BestRef shows popularity and reliability scores for sources in references of Wikipedia articles in different languages. Data extraction based on complex method using Wikimedia dumps. To find the most popular and reliable sources we used information about over 200 million references of Wikipedia articles. More details...