[1] 张志辉,程莹,刘念才. 线性学科标准化方法的效果优化及其对科研评价结果的影响——以39所"985工程"大学论文质量排名为例[J].情报学报, 2015,34(3):300-312.
[2] RADICCHI F, FORTUNATO S, CASTELLANO C. Universality of citation distributions:toward an objective measure of scientific impact[J]. Proceedings of the National Academy of Sciences of the United States of America, 2008,105(45):17268-17272.
[3] WALTMAN L, VAN ECK N J, VAN LEEUWEN T N, et al. Towards a new crown indicator:an empirical analysis[J]. Scientometrics, 2011,87(3):467-481.
[4] WALTMAN L, VAN ECK N J, VAN LEEUWEN T N, et al. Towards a new crown indicator:some theoretical considerations[J]. Journal of informetrics, 2011,5(1):37-47.
[5] WANG X, ZHANG Z. Improving the reliability of short-term citation impact indicators by taking into account the correlation between short- and long-term citation impact[J]. Journal of informetrics, 2020,14(2):101019.
[6] LEYDESDORFF L, OPTHOF T. Remaining problems with "New Crown Indicator" (MNCS) of the CWTS[J]. Journal of informetrics, 2011,5(1):224-225.
[7] VACCARIO G, MEDO M, WIDER N, et al. Quantifying and suppressing ranking bias in a large citation network[J]. Journal of informetrics, 2017,11(3):766-782.
[8] BORNMANN L. How to analyze percentile impact data meaningfully in bibliometrics:the statistical analysis of distributions, percentile rank classes and top-cited papers[J]. Journal of the American Society for Information Science and Technology, 2013,64(3):587-595.
[9] LEYDESDORFF L, OPTHOF T. Normalization at the field level:fractional counting of citations[J]. Journal of informetrics, 2010,4(4):644-646.
[10] ZITT M, SMALL H. Modifying the journal impact factor by fractional citation weighting:the audience factor[J]. Journal of the American Society for Information Science and Technology, 2008,59(11):1856-1860.
[11] RADICCHI F, CASTELLANO C. A reverse engineering approach to the suppression of citation biases reveals universal properties of citation distributions[J]. PLOS ONE, 2012,7(3):e33833.
[12] CRESPO J A, LI Y, RUIZ-CASTILLO J. The measurement of the effect on citation inequality of differences in citation practices across scientific fields[J]. PLOS ONE, 2013,8(3):e58727.
[13] BORMANN L. Towards an ideal method of measuring research performance:some comments to the Opthof and Leydesdoff (2010) paper[J]. Journal of informetrics, 2010,4(3):441-443.
[14] BORMANN L, MUTZ R. Further steps towards an ideal method of measuring citation performance:the avoidance of citation (ratio) averages in field-normalization[J]. Journal of informetrics, 2011,5(1):228-230.
[15] CALVER M C, BRADLEY J S. Should we use the mean citations per paper to summarise a journal's impact or to rank journals in the same field?[J]. Scientometrics, 2009,81(3):611-615.
[16] BORNMANN L, MUTZ R, NEUHAUS C, et al. Citation counts for research evaluation:standards of good practice for analyzing bibliometric data and presenting and interpreting results[J]. Ethics in science and environmental politics, 2008,8(1):93-102.
[17] 张志辉.论文影响力的线性学科标准化方法研究[D].上海:上海交通大学,2015.
[18] 陈仕吉,史丽文,左文革.科研机构潜势学科的识别方法与实证分析——以中国农业大学为例[J].情报杂志,2012,31(2):43-47.
[19] VAN RAAN A F J.The use of bibliometric analysis in research performance assessment and monitoring of interdisciplinary scientific developments[J]. Assessment theory and practice,2003,1(12):20-29.
[20] 王颖鑫,黄德龙,刘德洪.ESI指标原理及计算[J].图书情报工作, 2006,50(9):73-75.
[21] HU Z, TIAN W, XU S, et al. Four pitfalls in normalizing citation indicators:an investigation of ESI's selection of highly cited papers[J]. Journal of informetrics, 2018,12(4):1133-1145.
[22] LEYDESDORFF L, BORNMANN L. The operationalization of "fifields" as WoS subject categories (WCs) in evaluative bibliometrics:the cases of "library and information science" and "science & technology studies"[J]. Journal of the Association for Information Science and Technology, 2016,67(3):707-714.
[23] RUIZ-CASTILLO J, WALTMAN L. Field-normalized citation impact indicators using algorithmically constructed classification systems of science[J]. Journal of informetrics, 2015,9(1):102-117.
[24] COLLIANDER C.A novel approach to citation normalization:a similarity-based method for creating reference sets[J]. Journal of the Association for Information Science and Technology, 2015,66(3):489-500.
[25] COLLIANDER C, AHLGREN P. Comparison of publication-level approaches to ex-post citation normalization[J]. Scientometrics, 2019,120(1):283-300.
[26] ZITT M, RAMANANA-RAHARY S, BASSECOULARD E. Relativity of citation performance and excellence measures:from cross-field to cross-scale effects of field-normalisation[J]. Scientometrics, 2005,63(2):373-401.
[27] ADAMS J, GURNEY K, JACKSON L. Calibrating the zoom-a test of Zitt's hypothesis[J]. Scientometrics, 2008,75(1):81-95.
[28] GLÄNZEL W, THIJS B, SCHUBERT A, et al. Subfield-specific normalized relative indicators and a new generation of relational charts:methodological foundations illustrated on the assessment of institutional research performance[J]. Scientometrics, 2009,78(1):165-188.
[29] PERIANES-RODRIGUEZ A, RUIZ-CASTILLO J. A comparison of the Web of Science and publication-level classification systems of science[J]. Journal of informetrics, 2017,11(1):32-45.
[30] BAR-ILAN J. Which h-index?-a comparison of WoS, Scopus and Google Scholar[J]. Scientometrics, 2013,74(2):257-271.
[31] WANG J. Citation time window choice for research impact evaluation[J]. Scientometrics, 2013,94(3):851-872.
[32] BORNMANN L, DANIEL H D. Universality of citation distributions-a validation of Radicchi et al.'s relative indicator cf=c/c0 at the micro level using data from chemistry[J]. Journal of the American Society for Information Science and Technology, 2009,60(8):1664-1670.
[33] RADICCHI F, CASTELLANO C. Rescaling citations of publications in physics[J]. Pysical review e, 2011,83(4):046116.
[34] WALTMAN L, VAN ECK N J, VAN RAAN A F J. Universality of citation distributions revisited[J]. Journal of the American Society for Information Science and Technology, 2012,63(1):72-77.
[35] ZHANG Z, CHENG Y, LIU N C. Comparison of the effect of mean-based method and z-score for field normalization of citations at the level of Web of Science subject categories[J]. Scientometrics, 2014,101(3):1679-1693.
[36] ZHANG Z, CHENG Y, LIU N C. Improving the normalization effect of mean-based method from the perspective of optimization:optimization-based linear methods and their performance[J]. Scientometrics, 2015,102(1):587-607. |