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Substantiality: A Construct Indicating Research Excellence to Measure University Research Performance


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Alonso, S., Cabrerizo, F.J., Herrera-Viedma, E. et al. (2010). hg-index: A new index to characterize the scientific output of researchers based on the h- and g-indices. Scientometrics, 82, 391–400. AlonsoS. CabrerizoF.J. Herrera-ViedmaE. 2010 hg-index: A new index to characterize the scientific output of researchers based on the h- and g-indices Scientometrics 82 391 400 10.1007/s11192-009-0047-5 Search in Google Scholar

Costas, R., van Leeuwen, T.N., & Bordons M. (2010). A bibliometric classificatory approach for the study and assessment of research performance at the individual level: The effects of age on productivity and impact. JASIST, 61, 1564–1581. CostasR. van LeeuwenT.N. BordonsM. 2010 A bibliometric classificatory approach for the study and assessment of research performance at the individual level: The effects of age on productivity and impact JASIST 61 1564 1581 10.1002/asi.21348 Search in Google Scholar

Hayati, Z., & Ebrahimy, S. (2009). Correlation between quality and quantity in scientific production: A case study of Iranian organizations from 1997 to 2006. Scientometrics, 80, 625–636. HayatiZ. EbrahimyS. 2009 Correlation between quality and quantity in scientific production: A case study of Iranian organizations from 1997 to 2006 Scientometrics 80 625 636 10.1007/s11192-009-2094-3 Search in Google Scholar

Hicks, D., Wouters, P., Waltman, L. et al. (2015). Bibliometrics: The Leiden Manifesto for research metrics. Nature, 520, 429–431. HicksD. WoutersP. WaltmanL. 2015 Bibliometrics: The Leiden Manifesto for research metrics Nature 520 429 431 10.1038/520429a25903611 Search in Google Scholar

Hirsch, J.E. (2005). An index to quantify an individual's scientific research output. Proceeding of the National Academy of Science of the United States of America, 102, 16569–16572. HirschJ.E. 2005 An index to quantify an individual's scientific research output Proceeding of the National Academy of Science of the United States of America 102 16569 16572 10.1073/pnas.0507655102128383216275915 Search in Google Scholar

Hirsch, J.E. (2007). Does the h index have predictive power? Proceeding of the National Academy of Science of the United States of America, 104, 19193–19198. HirschJ.E. 2007 Does the h index have predictive power? Proceeding of the National Academy of Science of the United States of America 104 19193 19198 10.1073/pnas.0707962104214826618040045 Search in Google Scholar

Jin, B., Liang, L., Rousseau, R., et al. (2007). The R- and AR-indices: Complementing the h-index. Chinese Science Bulletin, 52, 855–863. JinB. LiangL. RousseauR. 2007 The R- and AR-indices: Complementing the h-index Chinese Science Bulletin 52 855 863 10.1007/s11434-007-0145-9 Search in Google Scholar

Kosten, J. (2016). A classification of the use of research indicators. Scientometrics, 108, 457–464. KostenJ. 2016 A classification of the use of research indicators Scientometrics 108 457 464 10.1007/s11192-016-1904-7490978727390388 Search in Google Scholar

Kutlača, D., Babić D., Živković L., et al. (2015). Analysis of quantitative and qualitative indicators of SEE countries scientific output. Scientometrics, 102, 247–265. KutlačaD. BabićD. ŽivkovićL. 2015 Analysis of quantitative and qualitative indicators of SEE countries scientific output Scientometrics 102 247 265 10.1007/s11192-014-1290-y Search in Google Scholar

Okubo, Y. (1997). “Bibliometric Indicators and Analysis of Research Systems: Methods and Examples,” OECD Science, Technology and Industry Working Papers 1997/1, OECD Publishing. OkuboY. 1997 “Bibliometric Indicators and Analysis of Research Systems: Methods and Examples,” OECD Science, Technology and Industry Working Papers 1997/1 OECD Publishing Search in Google Scholar

Porter, M.E. (1998). Clusters and the new economics of competition. Harvard Business Review, 76, 77–90. PorterM.E. 1998 Clusters and the new economics of competition Harvard Business Review 76 77 90 Search in Google Scholar

Prathap, G. (2011). Quasity, when quantity has a quality all of its own—Toward a theory of performance. Scientometrics, 88, 555–562. PrathapG. 2011 Quasity, when quantity has a quality all of its own—Toward a theory of performance Scientometrics 88 555 562 10.1007/s11192-011-0401-2 Search in Google Scholar

Russell, J., & Rousseau, R. (2009). “Bibliometrics and institutional evaluation,” Science and Technology Policy - Volume II, UNESCO, 42–64. RussellJ. RousseauR. 2009 “Bibliometrics and institutional evaluation,” Science and Technology Policy - Volume II, UNESCO 42 64 Search in Google Scholar

Sahel, J. (2011). Quality versus quantity: Assessing individual research performance. Scienve and. Translational Medicine, 3, 84cm13. SahelJ. 2011 Quality versus quantity: Assessing individual research performance Scienve and. Translational Medicine 3 84cm13 10.1126/scitranslmed.3002249333840921613620 Search in Google Scholar

Shirabe, M. (2019). Measurement of research capacity using disciplinary agglomeration indicators: National university “rankings” in Japan. In Proceedings of the 17th international society of scientometrics and informetrics conference, 316–321. ShirabeM. 2019 Measurement of research capacity using disciplinary agglomeration indicators: National university “rankings” in Japan In Proceedings of the 17th international society of scientometrics and informetrics conference 316 321 Search in Google Scholar

Vinkler, P. (1988). An attempt of surveying and classifying bibliometric indicators for scientometric purposes. Scientometrics, 13, 239–259. VinklerP. 1988 An attempt of surveying and classifying bibliometric indicators for scientometric purposes Scientometrics 13 239 259 10.1007/BF02019961 Search in Google Scholar

Wilsdon, J. (2015) The Metric Tide: Independent Review of the Role of Metrics in Research Assessment and Management, Sage Publications. WilsdonJ. 2015 The Metric Tide: Independent Review of the Role of Metrics in Research Assessment and Management Sage Publications 10.4135/9781473978782 Search in Google Scholar

Yokogawa, T., Nishino, J., & Mizuno, Y. (1995). Macroscopic understanding of the situations in GO. Proceedings of 1995 IEEE international conference on fuzzy systems, 31–32. YokogawaT. NishinoJ. MizunoY. 1995 Macroscopic understanding of the situations in GO Proceedings of 1995 IEEE international conference on fuzzy systems 31 32 10.1109/FUZZY.1995.410028 Search in Google Scholar

Ye, F.Y., & Rousseau, R. (2010). Probing the h-core: An investigation of the tail—core ratio for rank distributions. Scientometrics, 84, 431–439. YeF.Y. RousseauR. 2010 Probing the h-core: An investigation of the tail—core ratio for rank distributions Scientometrics 84 431 439 10.1007/s11192-009-0099-6 Search in Google Scholar

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