Towards an understanding of talent management as a phenomenon-driven field using bibliometric and content analysis

E Gallardo-Gallardo, S Nijs, N Dries, P Gallo - Human resource …, 2015 - Elsevier
This review adopts a phenomenon-driven approach in reviewing the talent management
(TM) literature, applying methods derived from bibliometrics and content analysis to evaluate …

Momentum investing: a systematic literature review and bibliometric analysis

S Singh, N Walia - Management Review Quarterly, 2022 - Springer
This comprehensive research study aims to highlight the evolution of momentum investing
research and identify the mature and emerging themes in momentum investing. This study …

Citations: Indicators of quality? The impact fallacy

L Leydesdorff, L Bornmann, JA Comins… - Frontiers in Research …, 2016 - frontiersin.org
We argue that citation is a composed indicator: short-term citations can be considered as
currency at the research front, whereas long-term citations can contribute to the codification …

Identifying potential breakthrough research: A machine learning method using scientific papers and Twitter data

X Li, Y Wen, J Jiang, T Daim, L Huang - Technological Forecasting and …, 2022 - Elsevier
Breakthrough research may signal shifts in science, technology, and innovation systems.
Early identification of breakthrough research is important not only for scientists, but also for …

Rigor and relevance in empirical TM research: Key issues and challenges

M Thunnissen… - BRQ Business Research …, 2019 - journals.sagepub.com
This paper aims to offer a critical reflection on the way Talent Management (TM) is
investigated in practice, by addressing the key issues regarding the quality (in terms of rigor …

Identifying citation patterns of scientific breakthroughs: A perspective of dynamic citation process

C Min, Y Bu, D Wu, Y Ding, Y Zhang - Information Processing & …, 2021 - Elsevier
This paper introduces the perspective of dynamic citation process to identify citation patterns
of scientific breakthroughs. We construct a series of citation metrics and apply them to over …

Quantifying revolutionary discoveries: Evidence from Nobel prize-winning papers

C Wei, J Li, D Shi - Information Processing & Management, 2023 - Elsevier
Numerous metrics have been developed to identify revolutionary science which is crucial for
advancing science. However, these metrics have rarely successfully identified revolutionary …

Motivating innovation: The impact of prestigious talent funding on junior scientists

M Li, Y Wang, H Du, A Bai - Research Policy, 2024 - Elsevier
Despite the critical role of creativity in advancing science and technology, our understanding
of the funding schemes that drive creativity remains remarkably limited. Concerns have …

[LIBRO][B] Research analytics: Boosting university productivity and competitiveness through scientometrics

FJ Cantu-Ortiz - 2017 - books.google.com
The growth of machines and users of the Internet has led to the proliferation of all sorts of
data concerning individuals, institutions, companies, governments, universities, and all kinds …

Group‐based trajectory modeling (GBTM) of citations in scholarly literature: dynamic qualities of “transient” and “sticky knowledge claims”

SE Baumgartner, L Leydesdorff - Journal of the Association for …, 2014 - Wiley Online Library
Group‐based trajectory modeling (GBTM) is applied to the citation curves of articles in six
journals and to all citable items in a single field of science (virology, 24 journals) to …