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Connection

Richard Van Emmerik to Models, Biological

This is a "connection" page, showing publications Richard Van Emmerik has written about Models, Biological.
Connection Strength

0.425
  1. Rodrigues P, Chang R, TenBroek T, van Emmerik R, Hamill J. Evaluating the coupling between foot pronation and tibial internal rotation continuously using vector coding. J Appl Biomech. 2015 Apr; 31(2):88-94.
    View in: PubMed
    Score: 0.083
  2. van Emmerik RE, Jones SL, Busa MA, Remelius JG, Averill JL. Enhancing postural stability and adaptability in multiple sclerosis. Adv Exp Med Biol. 2014; 826:251-76.
    View in: PubMed
    Score: 0.078
  3. Miller RH, Caldwell GE, Van Emmerik RE, Umberger BR, Hamill J. Ground reaction forces and lower extremity kinematics when running with suppressed arm swing. J Biomech Eng. 2009 Dec; 131(12):124502.
    View in: PubMed
    Score: 0.059
  4. Chang R, Van Emmerik R, Hamill J. Quantifying rearfoot-forefoot coordination in human walking. J Biomech. 2008 Oct 20; 41(14):3101-5.
    View in: PubMed
    Score: 0.054
  5. Haddad JM, Gagnon JL, Hasson CJ, Van Emmerik RE, Hamill J. Evaluation of time-to-contact measures for assessing postural stability. J Appl Biomech. 2006 May; 22(2):155-61.
    View in: PubMed
    Score: 0.046
  6. Peters BT, Haddad JM, Heiderscheit BC, Van Emmerik RE, Hamill J. Limitations in the use and interpretation of continuous relative phase. J Biomech. 2003 Feb; 36(2):271-4.
    View in: PubMed
    Score: 0.037
  7. Wagenaar RC, van Emmerik RE. Resonant frequencies of arms and legs identify different walking patterns. J Biomech. 2000 Jul; 33(7):853-61.
    View in: PubMed
    Score: 0.031
  8. van Emmerik RE, Wagenaar RC. Effects of walking velocity on relative phase dynamics in the trunk in human walking. J Biomech. 1996 Sep; 29(9):1175-84.
    View in: PubMed
    Score: 0.024
  9. Hasson CJ, Van Emmerik RE, Caldwell GE. Predicting dynamic postural instability using center of mass time-to-contact information. J Biomech. 2008 Jul 19; 41(10):2121-9.
    View in: PubMed
    Score: 0.013
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.