References
- Bloom, N., C. I. Jones, J. Van Reenen, and M. Webb. 2020. “Are Ideas Getting Harder to Find?” American Economic Review 110 (4): 1104–1144. doi:https://doi.org/10.1257/aer.20180338.
- Bornmann, L., A. Butz, and K. Wohlrabe. 2018. “What are the Top Five Journals in Economics? A New Meta-ranking.” Applied Economics 50 (6): 659–675. doi:https://doi.org/10.1080/00036846.2017.1332753.
- Chan, B. H., D. A. Mitchell, and L. E. Cram. 2003. “Archetypal Analysis of Galaxy Spectra.” Monthly Notices of the Royal Astronomical Society 338 (3): 790–795. doi:https://doi.org/10.1046/j.1365-8711.2003.06099.x.
- García-Suaza, A., J. Otero, and R. Winkelmann. 2020. “Predicting Early Career Productivity of PhD Economists: Does Advisor-match Matter?” Scientometrics 122 (1): 429–449. doi:https://doi.org/10.1007/s11192-019-03277-8.
- Meyer, J., and K. Wohlrabe. 2018. “Standing on the Shoulder of Giants: The Aspect of Free-riding in RePEc Rankings.” Applied Economics Letters 25 (4): 223–228. doi:https://doi.org/10.1080/13504851.2017.1310992.
- Moliner, J., and I. Epifanio. 2018. “Bivariate Functional Archetypoid Analysis: An Application to Financial Time Series.” In Mathematical and Statistical Methods for Actuarial Sciences and Finance, 473–476. Springer, Cham: Springer.
- Mørup, M., and L. K. Hansen. 2012. “Archetypal Analysis for Machine Learning and Data Mining.” Neurocomputing 80: 54–63. doi:https://doi.org/10.1016/j.neucom.2011.06.033.
- Rath, K., and K. Wohlrabe. 2016. “Recent Trends in Co-authorship in Economics: Evidence from RePEc.” Applied Economics Letters 23 (12): 897–902. doi:https://doi.org/10.1080/13504851.2015.1119783.
- Seiler, C., and K. Wohlrabe. 2013. “Archetypal Scientists.” Journal of Informetrics 7 (2): 345–356. doi:https://doi.org/10.1016/j.joi.2012.11.013.
- Seth, S., and M. J. A. Eugster. 2016. “Probabilistic Archetypal Analysis.” Machine Learning 102 (1): 85–113. doi:https://doi.org/10.1007/s10994-015-5498-8.
- Sommer, V., and K. Wohlrabe. 2017. “Citations, Journal Ranking and Multiple Authorships Reconsidered: Evidence from Almost One Million Articles.” Applied Economics Letters 24 (11): 809–814. doi:https://doi.org/10.1080/13504851.2016.1229410.
- Vinué, G., and I. Epifanio. 2017. “Archetypoid Analysis for Sports Analytics.” Data Mining and Knowledge Discovery 31 (6): 1643–1677. doi:https://doi.org/10.1007/s10618-017-0514-1.
- Vinué, G. 2017. “Anthropometry: An R Package for Analysis of Anthropometric Data.” Journal of Statistical Software 77 (6): 1–39. doi:https://doi.org/10.18637/jss.v077.i06.
- Vinué, G., I. Epifanio, and S. Alemany. 2015. “Archetypoids: A New Approach to Define Representative Archetypal Data.” Computational Statistics & Data Analysis 87: 102–115. doi:https://doi.org/10.1016/j.csda.2015.01.018.
- Wohlrabe, K., and S. Gralka. 2020a. “Using Archetypoid Analysis to Classify Institutions and Faculties of Economics.” Scientometrics 123 (1): 159–179. doi:https://doi.org/10.1007/s11192-020-03366-z.
- Wohlrabe, K., and S. Gralka. (2020b). Classifying Top Economists Using Archetypoid Analysis. CEPIE Working Paper, 01/20, 1–32.
- Zimmermann, C. 2013. “Academic Rankings with RePEc.” Econometrics 1 (3): 249–280. doi:https://doi.org/10.3390/econometrics1030249.