A Newton–Grassmann Method for Computing the Best Multilinear Rank-$(r_1,$ $r_2,$ $r_3)$ Approximation of a Tensor

Multilingual Wikipedia

In June 2020 the work A Newton–Grassmann Method for Computing the Best Multilinear Rank-$(r_1,$ $r_2,$ $r_3)$ Approximation of a Tensor was on the 683,471st place in the ranking of the most reliable and popular publications with DOI number 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 work was on the 1,050,145th place in June 2020. From Wikipedians' point of view, "A Newton–Grassmann Method for Computing the Best Multilinear Rank-$(r_1,$ $r_2,$ $r_3)$ Approximation of a Tensor" is the 375,497th most reliable publication with DOI number in different language versions of Wikipedia (AR-score).

PR-score:
683,471st place
1,600
-600
AR-score:
375,497th place
700
0
F-score:
1,050,145th place
1
0

English Wikipedia (en)

PR-score:
578,486th place
1,600
-600
AR-score:
297,220th place
700
0
F-score:
900,916th place
1
0

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...