Assessing Professional Skills in a Multi-scale Environment by Means of Graph-Based Algorithms

Álvarez-Rodríguez, José María; Colomo‐Palacios, Ricardo

doi:10.1109/enic.2014.12

Cited by 5 publications

(2 citation statements)

References 38 publications

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“…The contributions are mainly extracted from acknowledgements of papers, or contribution information in journals like PLOS journals, the British Medical Journal and the FEBS Journal. Other skill evaluation methods are proposed for measuring workers' skills, where the skills are extracted from job seekers' resumes in the online job market (Zhou et al, 2017;Anderson, 2017) and online social platform (Alvarez-Rodríguez & Colomo-Palacios, 2014). For example, in economic issues, skills are extracted for analyzing the relationship between skill and wage (Anderson, 2017) and reducing the skills gap (Zhou et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Skill ranking of researchers via hypergraph

Kong

Liu

et al. 2019

PeerJ Computer Science

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Researchers use various skills in their works, such as writing, data analysis and experiments design. These research skills have greatly influenced the quality of their research outputs, as well as their scientific impact. Although many indicators have been proposed to quantify the impact of researchers, studies of evaluating their scientific research skills are very rare. In this paper, we analyze the factors affecting researchers’ skill ranking and propose a new model based on hypergraph theory to evaluate the scientific research skills. To validate our skill ranking model, we perform experiments on the PLOS ONE dataset and compare the rank of researchers’ skills with their papers’ citation counts and h-index. Finally, we analyze the patterns about how researchers’ skill ranking increased over time. Our studies also show the change patterns of researchers between different skills.

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Section: Introductionmentioning

confidence: 99%

Skill ranking of researchers via hypergraph

Kong

Liu

et al. 2019

PeerJ Computer Science

View full text Add to dashboard Cite

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“…level (knowledge) of a certain user in a specific skill SPEAR algorithms can be used. [12]. To introduce concept of expert, the SPEAR algorithm [11], use HITS.…”

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confidence: 99%