Michael Fire

Statistics and Probability · 2018

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 8 citations into it
• Information Systems — 5 citations into it

Whom Michael Fire trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Jorge E. Hirsch
2. Eugene Garfield
3. Matthew E. Falagas
4. M. Head
5. Yucheng Low
6. V. Kouranos
7. L. Holman
8. Joseph E. Gonzalez
9. Zhihong Shen
10. R. Arencibia-Jorge

Papers from Michael Fire's perspective

Ordered by how strongly the researchers Michael Fire trusts endorse each paper. Same corpus, a different order for every researcher.

1. Does the h index have predictive power? (Proceedings of the National Academy of Sciences of the United States of America)
2. An index to quantify an individual's scientific research output (Proc. Natl. Acad. Sci. USA)
3. Comparison of SCImago journal rank indicator with journal impact factor (The FASEB Journal)
4. The Extent and Consequences of P-Hacking in Science (PLoS Biology)
5. An Overview of Microsoft Academic Service (MAS) and Applications
6. GraphLab: A New Framework For Parallel Machine Learning (Conference on Uncertainty in Artificial Intelligence)
7. The meaning of the Impact Factor
8. The PageRank Citation Ranking : Bringing Order to the Web
9. The influence of publication delays on impact factors (Scientometrics)
10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers

• Over-optimization of academic publishing metrics: observing Goodhart’s Law in action (2018) — 301 citations