Page 356 - Becoming Metric Wise

350 Bibliography

Etzkowitz, H., Kemelgor, C., Neuschatz, M., Uzzi, B., & Alonzo, J. (1994). The paradox
of critical mass for women in science. Science, 266(5182), 51 54.
Etzkowitz, H., & Leydesdorff, L. (1995). The Triple Helix—University Industry
Government Relations: A Laboratory for Knowledge-Based Economic Development.
EASST Review, 14(1), 14 19.
Etzkowitz, H., & Leydesdorff, L. (2000). The dynamics of innovation: From National
Systems and “Mode 2” to a Triple Helix of University Industry Government
Relations. Research Policy, 29(2), 109 123.
Eysenbach, G. (2006). Citation advantage of open access articles. PLOS Biology, 4(5), e157.
Fairthorne, R. A. (1969). Empirical hyperbolic distributions (Bradford-Zipf-Mandelbrot)
for bibliometric description and prediction. Journal of Documentation, 25(4), 319 343.
Faloutsos, M., Faloutsos, P., & Faloutsos, C. (1999). On power-law relationships of the internet
topology. Proceedings of the conference on applications, technologies, architectures, and protocols
for computer communication (pp. 251 262). New York (NY): ACM.
Fanelli, D. (2013). Redefine misconduct as distorted reporting. Nature, 494(7436), 149 149.
Fanelli, D. (2014). Publishing: Rise in retractions is a signal of integrity. Nature, 509
(7498), 33 33.
Fanelli, D. (2016). Set up a ‘self-retraction’ system for honest errors. Nature, 531(7595),
415 415.
Fano, R. M. (1956). Information theory and the retrieval of recorded information.
In J. H. Shera, A. Kent, & J. W. Perry (Eds.), Documentation in action (pp. 238 244).
New York: Reinhold Publ. Co.
Feder, J. (1988). Fractals. New York: Springer.
Fenner, M., & Lin, J. (2014). Novel research impact indicators. Liber Quarterly, 23(4),
300 309.
Ferber, M. (1986). Citations: are they an objective measure of scholarly merit? Signs:
Journal of Women in Culture and Society, 11(2), 381 389.
Feynman, R. P. (1974). Cargo cult science. Engineering and Science, 37(7), 10 13.
Flom, P. L., Friedman, S. R., Strauss, S., & Neaigus, A. (2004). A new measure of linkage
between two sub-networks. Connections, 26(1), 62 70.
Franceschet, M. (2010a). Journal influence factors. Journal of Informetrics, 4(3), 239 248.
Franceschet, M. (2010b). Ten good reasons to use the Eigenfactor TM metrics. Information
Processing and Management, 46(5), 555 558.
Franceschini, F., Galetto, M., Maisano, D., & Mastrogiacomo, L. (2012a). The success-
index: An alternative approach to the h-index for evaluating an individual’s research
output. Scientometrics, 92(3), 621 641.
Franceschini, F., Galetto, M., Maisano, D., & Mastrogiacomo, L. (2012b). Further clarifi-
cations about the success-index. Journal of Informetrics, 6(4), 669 673.
Frandsen, T. F., & Rousseau, R. (2005). Article impact calculated over arbitrary periods.
Journal of the American Society for Information Science & Technology, 56(1), 58 62.
Freeman, L. C. (1977). A set of measures of centrality based on betweenness. Sociometry,
40(1), 35 41.
Freeman, L. C. (1979). Centrality in social networks: I. Conceptual clarification. Social
Networks, 1(3), 215 239.
Fussler, H. H. (1949). Characteristics of the research literature used by chemists and physi-
cists in the United States. The Library Quarterly, 19(1), 19 35; 19(2), 119 143.
Gantman, E. R. (2012). Economic, linguistic, and political factors in the scientific pro-
ductivity of countries. Scientometrics, 93(3), 967 985.
Gao, X., & Guan, JC. (2009). Networks of scientific journals: An exploration of Chinese
patent data. Scientometrics, 80(1), 283 302.
Garfield, E. (1955). Citation indexes for science: A new dimension in documentation
through association of ideas. Science, 122(3159), 108 111.