An analysis and comparison of scientometric data between journals of physics, chemistry and engineering

Abstract

By employing the Pearson correlation, Fisher-and t-tests, the present study analyzes and compares scientometric data including number of source items, number of citations, impact factor, immediacy index, citing half-life and cited half-life, for essential journals in physics, chemistry and engineering, from SCI JCR on the Web 2002. The results of the study reveal that for all the scientometric indicators, except the cited half-life, there is no significant mean difference between physics and chemistry subjects indicating similar citation behavior among the scientists. There is no significant mean difference in the citing half-life among the three subjects. Significant mean difference is generally observed for most of the scientometric indicators between engineering and physics (or chemistry) demonstrating the difference in citation behavior among engineering researchers and scientists in physics or chemistry.Significant correlations among number of source items, number of citations, impact factor, and immediacy index and between cited half-life and citing half-life generally prevail for each of the three subjects. On the contrary, in general, there is no significant correlation between the cited half-life and other scientometric indicators. The three subjects present the same strength of the correlations between number of source items and number of citations, between number of citations and impact factor, and between cited half-life and citing half-life.

Citation Patterns in Economics and Beyond

“…9 For example, Tsay (2009) analyzes scientometric data between journals of physics, chemistry and engineering and finds some evidence for differences in citation behavior among scientists in these disciplines, although this comparison is restricted to a period of one year (2002). While our argument -that the difference in responsiveness to incentives across disciplines contributes to the differences in citation patterns -is surely of a cognitive origin, an evaluative approach to scientometrics would be able to offer several alternative explanations.…”

“…The resulting lack of diversity within the economic discipline has been studied empirically, in particular by analyzing the relative citation flows between 13 high-ranked mainstream and 13 high-ranked heterodox economic journals in two different periods: before -2008Dobusch & Kapeller 2012b) and after the recent financial and economic crisis (2009Aistleitner et al 2018). The results indicate that the monistic and closed citation behavior exhibited by (highly-ranked) mainstream economic journals remained stable after the crisis, as the mainstream journals continue to devote only minimal attention to heterodox inputs (as is evidenced by the small share of citations -less than 3% -imported from heterodox sources 13 ; see Figure 9).…”

Temporal Dynamics of Hirsch Index

“…Äëÿ ñòàòåé ïî ôèçèêå ýòà âåëè÷èíà ïðèáëèçè-òåëüíî ðàâíà 7 ãîäàì, ïî õèìèè è òåõíè÷åñêèì íàóêàì îêîëî 8 ëåò [18]. Ïîñêîëüêó [19], îä-íàêî ìû áóäåì îïèðàòüñÿ íà ôîðìóëó (1), ïîñêîëüêó íàñ èíòåðåñóþò âñå ñòàäèè öè-òèðîâàíèÿ ñòàòüè.…”

Collaboration in South African Engineering Research

“…Studies have investigated trends in engineering research, as shown in the publications stored in different databases for varying periods of time [3][4][5][6][7][8][9]. Some have explored the collaborative dimensions hidden in such scientific publications [10][11][12].…”