Going much beyond the Durfee square: enhancing the h T index

Ranking of Indian Universities in Social Sciences using Bibliometric Indicators during 2008-12

“…Most of the international ranking schemes are complex exercises and assess both quantity and quality of research, but use elitist levels of achievement that they cannot be meaningfully applied in Indian context. Therefore, for ranking purposes in this study, the method and procedure suggested by Gangan Prathap [8][9][10] is used for a ranking of research performance based on quantum of output and quality of research of various Indian universities in social sciences, using bibliographical data from Scopus database. So far, only few ranking of Indian universities in social sciences for their research performance has been undertaken.…”

Qualifying Scholarly Impact using an iCX (impact-Citations-Exergy) Analysis

“…This simplification of a very complex process has been found to be very effective, especially in instances where h tends to be high. It also has many shortcomings especially when h tends to be low or where there are tall cores or long tails [2][3][4] . The search for a rational strategy to rank entities (authors, groups, institutions, or countries) taking into account productivity (number of papers P) and quality (impact defined as the ratio of citations to papers, i = C/P) continues.…”

“…Very interestingly, taking a lead from Glanzel's pioneering statistical studies, it can also be established that X (1/3) = p has the units of h and indeed can be used as a mock h-index [2][3][4] . In this paper, it is shown that i, C, and X can be combined graphically into an iCX map which can then be displayed as a two dimensional contour map which reproduces the essential topological features of …”