output
19922026
most citedMachine Learning in Automated Text Categorization

8k citations

Showing 2018Show all

267 papers · 1 filter

cs.DL2018★ 42 cited

Gender bias in academic recruitment

Giovanni Abramo, Ciriaco Andrea D'Angelo, Francesco Rosati

It is well known that women are underrepresented in the academic systems of many countries. Gender discrimination is one of the factors that could contribute to this phenomenon. Th…

cs.DL2018★ 17 cited

Specialization vs diversification in research activities: the extent, intensity and relatedness of field diversification by individual scientists

Giovanni Abramo, Ciriaco Andrea D'Angelo, Flavia Di Costa

We investigate whether and in what measure scientists tend to diversify their research activity, and if this tendency varies according to their belonging to different disciplinary…

cs.DL2018★ 71 cited

Identifying interdisciplinarity through the disciplinary classification of co-authors of scientific publications

Giovanni Abramo, Ciriaco Andrea D'Angelo, Flavia Di Costa

The growing complexity of challenges involved in scientific progress demands ever more frequent application of competencies and knowledge from different scientific fields. The pres…

cs.DL2018★ 21 cited

Assessing the accuracy of the h and g indexes for measuring researchers' productivity

Giovanni Abramo, Ciriaco Andrea D'Angelo, Fulvio Viel

Bibliometric indicators are increasingly used in support of decisions for recruitment, career advancement, rewarding and selective funding for scientists. Given the importance of t…

cs.DL2018★ 192 cited

A heuristic approach to author name disambiguation in bibliometrics databases for large-scale research assessments

Ciriaco Andrea D'Angelo, Cristiano Giuffrida, Giovanni Abramo

National exercises for the evaluation of research activity by universities are becoming regular practice in ever more countries. These exercises have mainly been conducted through…

cs.DL2018★ 44 cited

The collaboration behaviors of scientists in Italy: a field level analysis

Giovanni Abramo, Ciriaco Andrea D'Angelo, Gianluca Murgia

The analysis of research collaboration by field is traditionally conducted beginning with the classification of the publications from the context of interest. In this work we propo…