Coverage of highly-cited documents in Google Scholar, Web of Science, and Scopus: a multidisciplinary comparison (original) (raw)
References
Acharya, A. (2015). What happens when your library is worldwide and all articles are easy to find? Retrieved June 19, 2018, from https://youtu.be/S-f9MjQjLsk?t=7m9s.
Acharya, A., Verstak, A., Suzuki, H., Henderson, S., Iakhiaev, M., Lin, C. C. Y., & Shetty, N. (2014). Rise of the rest: The growing impact of non-elite journals. Retrieved June 19, 2018, from http://arxiv.org/abs/1410.2217.
Archambault, É., Vignola-Gagné, É., Côté, G., Larivière, V., & Gingrasb, Y. (2006). Benchmarking scientific output in the social sciences and humanities: The limits of existing databases. Scientometrics,68(3), 329–342. https://doi.org/10.1007/s11192-006-0115-z. Article Google Scholar
Bornmann, L., & Leydesdorff, L. (2018). Count highly-cited papers instead of papers with h citations: Use normalized citation counts and compare “like with like”! Scientometrics, 115(2), 1119–1123. https://doi.org/10.1007/s11192-018-2682-1. Article Google Scholar
Bornmann, L., & Marx, W. (2014). How to evaluate individual researchers working in the natural and life sciences meaningfully? A proposal of methods based on percentiles of citations. Scientometrics,98(1), 487–509. https://doi.org/10.1007/s11192-013-1161-y. Article Google Scholar
Bornmann, L., Marx, W., Schier, H., Rahm, E., Thor, A., & Daniel, H.-D. (2009). Convergent validity of bibliometric Google Scholar data in the field of chemistry—Citation counts for papers that were accepted by Angewandte Chemie International Edition or rejected but published elsewhere, using Google Scholar, Science Citation Index, Scopus, and Chemical Abstracts. Journal of Informetrics,3(1), 27–35. https://doi.org/10.1016/j.joi.2008.11.001. Article Google Scholar
Delgado López-Cózar, E., Martín-Martín, A., & Orduna-Malea, E. (2017). Classic papers: déjà vu, a step further in the bibliometric exploitation of Google Scholar (EC3’s Working Papers No. 24). Retrieved June 19, 2018, from https://arxiv.org/abs/1706.09258.
Delgado López-Cózar, E., Orduna-Malea, E., & Martín-Martín, A. (2018). Google Scholar as a data source for research assessment. In W. Glaenzel, H. Moed, U. Schmoch & M. Thelwall (Eds.), Springer handbook of science and technology indicators. Berlin: Springer. Google Scholar
Delgado López-Cózar, E., Robinson-García, N., & Torres-Salinas, D. (2014). The Google scholar experiment: How to index false papers and manipulate bibliometric indicators. Journal of the Association for Information Science and Technology,65(3), 446–454. https://doi.org/10.1002/asi.23056. Article Google Scholar
Frandsen, T. F., & Nicolaisen, J. (2008). Intradisciplinary differences in database coverage and the consequences for bibliometric research. Journal of the American Society for Information Science and Technology,59(10), 1570–1581. https://doi.org/10.1002/asi.20817. Article Google Scholar
García-Pérez, M. A. (2010). Accuracy and completeness of publication and citation records in the Web of Science, PsycINFO, and Google Scholar: A case study for the computation of h indices in Psychology. Journal of the American Society for Information Science and Technology,61(10), 2070–2085. https://doi.org/10.1002/asi.21372. Article Google Scholar
Halevi, G., Moed, H., & Bar-Ilan, J. (2017). Suitability of Google Scholar as a source of scientific information and as a source of data for scientific evaluation—Review of the Literature. Journal of Informetrics,11(3), 823–834. https://doi.org/10.1016/J.JOI.2017.06.005. Article Google Scholar
Hicks, D., Wouters, P., Waltman, L., de Rijcke, S., & Rafols, I. (2015). Bibliometrics: The Leiden Manifesto for research metrics. Nature,520(7548), 429–431. https://doi.org/10.1038/520429a. Article Google Scholar
Leydesdorff, L., Bornmann, L., Mutz, R., & Opthof, T. (2011). Turning the tables on citation analysis one more time: Principles for comparing sets of documents. Journal of the American Society for Information Science and Technology, 62(7), 1370–1381. https://doi.org/10.1002/asi.21534. Article Google Scholar
Martín-Martín, A., Costas, R., van Leeuwen, T., & Delgado López-Cózar, E. (2018). _Evidence of Open Access of scientific publications in Google Scholar: A large_-scale analysis. https://doi.org/10.17605/osf.io/k54uv.
Martín-Martín, A., Orduna-Malea, E., Ayllón, J. M., & Delgado López-Cózar, E. (2016). A two-sided academic landscape: snapshot of highly-cited documents in Google Scholar (1950–2013). Revista Española de Documentacion Cientifica,39(4), e149. https://doi.org/10.3989/redc.2016.4.1405. Article Google Scholar
Martín-Martín, A., Orduña-Malea, E., Ayllón, J. M., & Delgado-López-Cózar, E. (2014). Does Google Scholar contain all highly cited documents (1950–2013)? (EC3 Working Papers No. 19). Retrieved June 19, 2018, from http://arxiv.org/abs/1410.8464.
Martín-Martín, A., Orduna-Malea, E., & Delgado López-Cózar, E. (2018). Data and code for: Coverage of highly-cited documents in Google Scholar, Web of Science, and Scopus: A multidisciplinary comparison. https://doi.org/10.17605/OSF.IO/DNQZK.
Martin-Martin, A., Orduna-Malea, E., Harzing, A.-W., & Delgado López-Cózar, E. (2017). Can we use Google Scholar to identify highly-cited documents? Journal of Informetrics,11(1), 152–163. https://doi.org/10.1016/j.joi.2016.11.008. Article Google Scholar
Meho, L. I., & Yang, K. (2007). Impact of data sources on citation counts and rankings of LIS faculty: Web of Science versus Scopus and Google Scholar. Journal of the American Society for Information Science and Technology,58(13), 2105–2125. https://doi.org/10.1002/asi.20677. Article Google Scholar
Mingers, J., & Lipitakis, E. A. E. C. G. (2010). Counting the citations: A comparison of Web of Science and Google Scholar in the field of business and management. Scientometrics,85(2), 613–625. https://doi.org/10.1007/s11192-010-0270-0. Article Google Scholar
Orduña-Malea, E., Martín-Martín, A., Ayllón, J. M., & Delgado López-Cózar, E. (2016). La revolución Google Scholar: Destapando la caja de Pandora académica. Granada: Universidad de Granada. Google Scholar
Orduna-Malea, E., Martín-Martín, A., & Delgado López-Cózar, E. (2017). Google Scholar as a source for scholarly evaluation: A bibliographic review of database errors. Revista Española de Documentación Científica,40(4), e185. https://doi.org/10.3989/redc.2017.4.1500. Article Google Scholar
Rahimi, S., & Chandrakumar, V. (2014). A comparison of citation coverage of traditional and web citation databases in medical science. Malaysian Journal of Library and Information Science, 19(3), 1–11. Retrieved June 19, 2018, from http://jice.um.edu.my/index.php/MJLIS/article/view/1779.
van Leeuwen, T. N., Moed, H. F., Tijssen, R. J. W., Visser, M. S., & Van Raan, A. F. J. (2001). Language biases in the coverage of the Science Citation Index and its consequences for international comparisons of national research performance. Scientometrics,51(1), 335–346. https://doi.org/10.1023/A:1010549719484. Article Google Scholar