Effects of international collaboration and status of journal on impact of papers

Pečlin, Stojan; Južnič, Primož; Blagus, Rok; Sajko, Mojca Čižek; Stare, Janez

doi:10.1007/s11192-012-0768-8

Cited by 14 publications

(8 citation statements)

References 21 publications

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“…Articles with international collaboration, which have multiple author affiliation countries, have been thought to be more highly cited than those with local or domestic collaboration (Bordons, Aparicio, & Costas, ; Ibanez, Bielza, & Larranaga, ; Katz & Hicks, ; Peclin, Juznic, Blagus, Sajko, & Stare, ; Persson et al., ; Sin, ; Sooryamoorthy, ; van Raan, ). For example, Katz and Hicks reported that adding one foreign coauthor increased citations by 1.6 per article on average, whereas adding one coauthor from the same or different domestic institution resulted in an increase of only 0.75 citations.…”

Section: Literature Reviewmentioning

confidence: 99%

Factors affecting citation rates of research articles

Onodera

Yoshikane

2014

Asso for Info Science & Tech

172

137

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This study examines whether there are some general trends across subject fields regarding the factors affecting the number of citations of articles, focusing especially on those factors that are not directly related to the quality or content of articles (extrinsic factors). For this purpose, from 6 selected subject fields (condensed matter physics, inorganic and nuclear chemistry, electric and electronic engineering, biochemistry and molecular biology, physiology, and gastroenterology), original articles published in the same year were sampled (n = 230-240 for each field). Then, the citation counts received by the articles in relatively long citation windows (6 and 11 years after publication) were predicted by negative binomial multiple regression (NBMR) analysis for each field. Various article features about author collaboration, cited references, visibility, authors' achievements (measured by past publications and citedness), and publishing journals were considered as the explanatory variables of NBMR. Some generality across the fields was found with regard to the selected predicting factors and the degree of significance of these predictors. The Price index was the strongest predictor of citations, and number of references was the next. The effects of number of authors and authors' achievement measures were rather weak.

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Section: Literature Reviewmentioning

confidence: 99%

Factors affecting citation rates of research articles

Onodera

Yoshikane

2014

Asso for Info Science & Tech

172

137

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“…Co-authorship graphs and networks are important in the study of research structure and dynamics; see for instance [7,9,12,1]. Their practical value has first been recognised by specialised systems, such as MathSciNet and Zb-Math; see [16,24].…”

Section: Resultsmentioning

confidence: 99%

A novel method for determining research groups from co-authorship network and scientific fields of authors.

Pisanski

Pisanski²,

Pisanski³

2020

IJCAI

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Large networks not only have a large number of vertices but also have a large number of edges. Although such networks are generally sparse they are usually difficult to visualise, even locally. This paper considers the case where large weights on edges represent similarity between the corresponding end-vertices. We follow two main ideas in this paper. The first one is network pruning, that is removal of edges that makes the resulting network more manageable while keeping the main characteristic of the original network. The other idea is to partition the network vertex set in such a way that the induced connected components represent groups of network elements that fit together. Furthermore, we assume that the vertices of the network are labeled by types. Here we apply our approach to co-authorship network of researchers in Slovenia in order to identify research groups, finding group leaders and the degree of interdisciplinarity of the group. For the network pruning phase we use a MST-pathfinder network and for vertex partition appropriate linecuts. Each cluster is assigned a distribution of types. In this case, the types correspond to scientific fields, also known as research interests of authors. A measure of interdisciplinarity of research group is derived from such a distribution. Povzetek: Velika omrežja nimajo le mnogo vozlišč, ampak imajo tudi mnogo povezav.Čeprav so običajno taka omrežja redka, so nepregledna in jih je težko prikazati na sliki, tudi lokalno. Ta prispevek obravnava omrežja, pri katerih velike vrednosti uteži na povezavah pomenijo podobnost pripadajočih krajišč. V prispevku sledimo dvema glavnima idejama. Prva je kleščenje omrežja, to je odstranitev manj pomembnih povezav, zaradičesar je nastalo omrežje bolj obvladljivo, hkrati pa se ohrani glavna značilnost prvotnega omrežja. Druga ideja je razdeliti vozlišča omrežja tako, da inducirane povezane komponente predstavljajo skupine omrežnih elementov, ki se med seboj prilegajo. Poleg tega predpostavljamo, da so vozlišča omrežja označena s tipi. V tem prispevku uporabljamo naš pristop k omrežju soavtorstev raziskovalcev v Sloveniji z namenom identifikacije raziskovalnih skupin, iskanja voditeljev skupin in stopnje interdisciplinarnosti skupine. Za fazo kleščenja omrežja uporabljamo usmerjevalno omrežje (MST-pathfinder network), za vozliščno razbitje pa ustrezne reze povezav. Vsaki skupini je dodeljena porazdelitev tipov. Mero interdisciplinarnosti raziskovalne skupine izpeljemo iz takšne porazdelitve. V tem primeru tipi predstavljajo znanstvena področja, oz. raziskovalne interese avtorjev.

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“…For the analysis, we considered the quartiles of scholarly journals used, as proxy data on their quality. In a survey conducted by Pečlin et al (2012) in the fields of medicine, science and biotechnology, they ascertained that 43% of scholarly papers were published in the first quartile, and 57% of scholarly papers were published in the other three quartiles.…”

Section: Resultsmentioning

confidence: 99%

The impact of better access to scientific journals on the quality of research work: The case of a small university

Miholič

Južnič

2016

Journal of Librarianship and Information Science

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Linking a publication with scientific research results and the use of information resources is a key component of the collection, development and assessment of an academic library. Librarians often use quantitative data, but it is not easy to come by. Directly connecting library and information services to the impact they have can be quite difficult. Focusing on the 2010–2014 period, we have linked the quality and quantity of published papers to usage statistics for the newly acquired consortia access to scholarly journals in three international publisher databases: ScienceDirect, SpringerLink and WileyOnline. We found that the share of scholarly journals from the ScienceDirect, SpringerLink and WileyOnline consortia cited by University of Primorska researchers’ in their scholarly papers has gradually increased every year, ranging from 13.5% in 2010 up to 24.8% in 2014. The share of scholarly papers published by University of Primorska researchers’ in scholarly journals with the highest impact (measured in Web of Science and Scopus) has also increased substantially, from 18.03% in 2011 to 31.55% in 2014. Study shows that better access to quality information resources for scientific researchers lead to an increase in its use and results in higher quality research shown by the gradual increase of publications of research results in higher impact scholarly journals.

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Effects of international collaboration and status of journal on impact of papers

Cited by 14 publications

References 21 publications

Factors affecting citation rates of research articles

Factors affecting citation rates of research articles

A novel method for determining research groups from co-authorship network and scientific fields of authors.

The impact of better access to scientific journals on the quality of research work: The case of a small university

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