Scientometric research in Russia: impact of science policy changes

Guskov, A. E.; Kosyakov, D. V.; Selivanova, Irina

doi:10.1007/s11192-016-1876-7

Cited by 17 publications

(6 citation statements)

References 21 publications

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“…[19,20], the characteristics of the disciplinary structure at the country level has been investigated in many studies [21][22][23][24][25][26][27][28][29][30]. The analysis of the disciplinary profiles of Eastern Europe contries and Soviet Union and its evolution after the breakup of the Soviet Union has been the subject of several studies [31][32][33][34][35]. Harzing and Giroud [23] comparing the profiles of 34 countries across 21 disciplines showed that nations with the fastest increase in their scientific productivity during the periods 1994-2004 and 2002-2012, which tidied up their disciplinary profile towards a more uniform one, then continued relatively unchanging in their wellproportioned disciplinary structures.…”

Section: Databases and Observablesmentioning

confidence: 99%

Worldwide bilateral geopolitical interactions network inferred from national disciplinary profiles

Izzo¹,

Daraio²,

Leuzzi³

et al. 2022

Preprint

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A disciplinary profile of a country is defined as the versor whose components are the numbers of articles produced in a given discipline divided the overall production of the country. Starting from the Essential Science Indicators (ESI) schema of classification of subject area, we obtained the yearly disciplinary profiles of a worldwide graph, where on each node sits a country, in the two time intervals [1980 − 1988] and [1992 − 2017], the fall of the Berlin Wall being the watershed. We analyse the empirical pairwise cross-correlation matrices of the time series of disciplinary profiles. The contrast with random matrix theory proves that, beyond measurement noise, the empirical cross-correlation matrices bring genuine information. Arising from the Shannon theorem as the least-structured model consistent with the measured pairwise correlations, the stationary probability distribution of disciplinary profiles can be described by a Boltzmann distribution related to a generalized n ddimensional Heisenberg model. The set of network interactions of the Heisenberg model have been inferred and to it they have been applied two clusterization methods, hierarchical clustering and principal component analysis. On a geopolitical plane this allow to obtain a characterization of the worldwide bilateral interactions based on physical modeling. A simple geopolitical analysis reveals the consistency of the results obtained and gives a boost to deeper historical analysis. In order to obtain the optimal set of pairwise interactions we used a Pseudo-Likelihood approach. We analytically computed the Pseudo-Likelihood and its gradient. The analytical computations deserve interest in whatever inference Bayesian problem involving a n d -dimensional Heisenberg model.

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Section: Databases and Observablesmentioning

confidence: 99%

Worldwide bilateral geopolitical interactions network inferred from national disciplinary profiles

Izzo¹,

Daraio²,

Leuzzi³

et al. 2022

Preprint

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“…The current analysis identified the following issues that the interdisciplinary interest in the field of Food Economics over the period, particularly closely related to public health, sustainable agricultural healthy food, framing public policies that deal with directly for food crises [18], [3], [13].…”

Section: Finding and Conclusionmentioning

confidence: 99%

“…In today's scenario, we have a huge development plan to be executed if we focus on it as micro-level reviewing in the scientific literature in terms of a systematic manner [1], [6]. If looking such like that, the Bibliometrics or scientometrics that sub-field of library & information science is helping to frame the research performance so as to identify the key subject experts [4], [13]. Scientometrics analysis is not only to identify the importance in the research domain, but it also helps in making decision policy that [10,[11] through publication impact as well as the citation impact supports in framing the research proposals for the country development [21].…”

mentioning

confidence: 99%

Mapping of the Research Output in Food Economics: A Scientometrics View of the Scopus Database

Sebastiyan¹,

V²,

Surulinathi³

2021

JUSST

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Since food is considered important in the world, the current study analyzed the characteristics of scientific publications based on several subtle indicators of scientometrics in the field of food economics for strengthening public health in the future. Accordingly, a total of 26306 publications from 1915 to 2021 are evaluated based on the Scopus database with the help of scientific tools such as Hitcite, Biblioshiny and VoS viewer. The results show that the resourcefulness experts are identified in terms of their publication only, that namely Drewnowski, Kesselheim. On the other hand, the author Popkini is considered as the key author rather than the above-said authors in terms of global citations. The similarity in the above context is that all the topmost authors belong to the USA. More importantly, the summary of citations in total publication output is revealed that a single paper is recorded the range of citations between 1042-2766, the 500 citations are recorded from the 64 papers, and 844 papers accounted with more than 100 citations.

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“…It was noticed that characteristics of the disciplinary structure may also be a factor that affects the competitive advantages of national sciences (Yang et al, 2012 ; Bongioanni et al, 2014 , 2015 ; Cimini et al, 2014 ; Harzing and Giroud, 2014 ; Radosevic and Yoruk, 2014 ; Albarran et al, 2015 ; Lorca and de Andrés, 2019 ; Pinto and Teixeira, 2020 ). For example, it has been argued that this archaic disciplinary structure is one of the reasons why Russia and other former communist countries are still lagging behind Western nations (Kozlowski et al, 1999 ; Markusova et al, 2009 ; Adams and King, 2010 ; Guskov et al, 2016 ; Jurajda et al, 2017 ; Tregubova et al, 2017 ; Shashnov and Kotsemir, 2018 ). In a comprehensive study of how disciplinary structure is related to the competitive advantage in science of different nations, Harzing and Giroud ( 2014 ) showed that countries that demonstrated the fastest increase in their scientific productivity during the periods 1994–2004 and 2002–2012 remained relatively stable in their fairly well-balanced disciplinary structures.…”

Section: The Scientific Impact Derived From the Disciplinary Profilesmentioning

confidence: 99%

The Scientific Impact Derived From the Disciplinary Profiles

Allïk

Lauk

Realo

2020

Front. Res. Metr. Anal.

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The disciplinary profiles of the mean citation rates across 22 research areas were analyzed for 107 countries/territories that published at least 3,000 papers that exceeded the entrance thresholds for the Essential Science Indicators (ESI; Clarivate Analytics) during the period from January 1, 2009 to December 31, 2019. The matrix of pairwise differences between any two profiles was analyzed with a non-metric multidimensional scaling (MDS) algorithm, which recovered a two-dimensional geometric space describing these differences. These two dimensions, Dim1 and Dim2, described 5,671 pairwise differences between countries' disciplinary profiles with a sufficient accuracy (stress = 0.098). A significant correlation (r = 0.81, N = 107, p < 0.0001) was found between Dim1 and the Indicator of a Nation's Scientific Impact (INSI), which was computed as a composite of the average and the top citation rates. The scientific impact ranking of countries derived from the pairwise differences between disciplinary profiles seems to be more accurate and realistic compared with more traditional citation indices.

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Scientometric research in Russia: impact of science policy changes

Cited by 17 publications

References 21 publications

Worldwide bilateral geopolitical interactions network inferred from national disciplinary profiles

Worldwide bilateral geopolitical interactions network inferred from national disciplinary profiles

Mapping of the Research Output in Food Economics: A Scientometrics View of the Scopus Database

The Scientific Impact Derived From the Disciplinary Profiles

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