A paper evaluating the possibility of using Google Scholar (GS) institutional level data to evaluate university research in a relatively automatic way.

The academic social network site ResearchGate (RG) has its own indicator, RG Score, for its members. The high profile nature of the site means that the RG Score may be used for recruitment, promotion

The time that you’re absolutely sick of saying it is about the time that your target audience has heard it for the first time.

An analysis of data from 3500 review experiences submitted by authors to the SciRev.sc website.

Prior co-authorship relations have a large and significant influence on manuscript handling times, speeding up the editorial decision on average by 19 days.

The different options to achieve open access, whether by journals changing their revenue structures from subscription to publishing charges, or authors utilizing a number of options for posting open access versions of article manuscripts in repositories.

It is hard to see why some papers published in relatively obscure journals are highly cited, whilst others in more accessible outlets virtually ignored.

Research performance of all Italian professors in the sciences over three consecutive four-year periods.

A word frequency analysis of 874,411 English article titles to assess the likelihood that research on obscure (rarely researched) topics is less cited.

A collection of case studies on various aspects of interdisciplinarity in science.

This paper presents a novel model of science funding that exploits the wisdom of the scientific crowd. Each researcher receives an equal, unconditional part of all available science funding on a yearly basis, but is required to individually donate to other scientists a given fraction of all they receive. Science funding thus moves from one scientist to the next in such a way that scientists who receive many donations must also redistribute the most. As the funding circulates through the scientific community it is mathematically expected to converge on a funding distribution favored by the entire scientific community. This is achieved without any proposal submissions or reviews.

Peer review is widely viewed as an essential step for ensuring scientific quality of a work and is a cornerstone of scholarly publishing. In this work we investigate the feasibility of a tool capable of generating fake reviews for a given scientific paper automatically.

It is clear that the journal impact factor is not effective in predicting future citations of successful authors.

A paper exploring the dynamics of interdisciplinary research in Italy over 10 years of scientific collaboration on research projects.

Motivational differences among specific groups of researchers at 20 Hungarian higher education institutions.

A first small-scale case study suggests that the new incarnation of Microsoft Academic presents us with an excellent alternative for citation analysis.

A longitudinal and cross-disciplinary comparison.

A researcher collaborating with many groups will normally have more papers (and thus higher citations and h-index) than a researcher spending all his/her time working alone or in a small group. While analyzing an author’s research merit, it is therefore not enough to consider only the collective impact of the published papers, it is also necessary to quantify his/her share in the impact. For this quantification, here I propose the I-index which is defined as an author’s percentage share in the total citations that his/her papers have attracted.

Altmetrics have gained momentum and are meant to overcome the shortcomings of citation-based metrics. In this regard some light is shed on the dangers associated with the new “all-in-one” indicator altmetric score.

Ideally, in a reviewing process, it is generally easier for referees to make faster and more reliable decisions for high quality papers, which ideally and on average will later attract more citations. Therefore, it is possible that the editorial delay time—the time between dates of submission and acceptance or publication—is correlated to the number of received citations, as has been weakly confirmed by previous studies.

In this paper we explore the effectiveness of selected research and innovation policies among EU countries.

A new bibliometrics approach.

What they fund and how they distribute their funds.

A data-driven theoretical investigation of editorial workflows.