@article{2179,
  author = {Tehmina	Amjad, Shabnum Bibi, Ali Daud},
  title = {Author Productivity Indexing via Topic Sensitive Weighted Citations},
  journal = {International Journal of Computational Linguistics Research },
  year = {2016},
  volume = {7},
  number = {4},
  doi = {},
  url = {http://www.dline.info/jcl/fulltext/v7n4/jclv7n4_2.pdf},
  abstract = {Different author productivity indexing methods have been proposed in order to rank scientists on the basis of their research work. The author productivity indexing methods present in literature do not consider the topic based contribution of authors for assigning them the weighted citations in a multi-authored paper. 
This study proposed TSWC-index which assigns Topic Sensitive Weighted Citations to authors of a paper according to their topic relatedness. Topic of co-authors in each paper against its first author has been checked and more weight is assigned to the co-authors if their topic is same as first author. The results are compared with h-index 
and kth rank index. Proposed method clearly shows significant difference among author’s full citations score, weighted citations score and topic sensitive weighted citations score. },
}