• Computer Science
  • Published in ArXiv 2015

S-index: Towards Better Metrics for Quantifying Research Impact

@article{Shah2015SindexTB,
  title={S-index: Towards Better Metrics for Quantifying Research Impact},
  author={Neil Shah and Yang Song},
  journal={ArXiv},
  year={2015},
  volume={abs/1507.03650}
}
The ongoing growth in the volume of scientific literature available today precludes researchers from efficiently discerning the relevant from irrelevant content. Researchers are constantly interested in impactful papers, authors and venues in their respective fields. Moreover, they are interested in the so-called recent "rising stars" of these contexts which may lead to attractive directions for future work, collaborations or impactful publication venues. In this work, we address the problem of… CONTINUE READING
8
Twitter Mentions

Citations

Publications citing this paper.
SHOWING 1-5 OF 5 CITATIONS

A multi-objective particle swarm optimization for the submission decision process

  • Int. J. Systems Assurance Engineering and Management
  • 2018
VIEW 12 EXCERPTS
CITES BACKGROUND & METHODS
HIGHLY INFLUENCED

Ontology-Based Academic Article Recommendation

  • 2018 15th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP)
  • 2018
VIEW 1 EXCERPT
CITES METHODS

Evaluating journal impact based on weighted citations

  • Scientometrics
  • 2017
VIEW 1 EXCERPT
CITES BACKGROUND

References

Publications referenced by this paper.