Works matching IS 01389130 AND DT 2023 AND VI 128 AND IP 9
Results: 19
ChatGPT and the potential growing of ghost bibliographic references.
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- Scientometrics, 2023, v. 128, n. 9, p. 5351, doi. 10.1007/s11192-023-04804-4
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Does double dipping occur? The case of Wiley's hybrid journals.
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- Scientometrics, 2023, v. 128, n. 9, p. 5159, doi. 10.1007/s11192-023-04800-8
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Measuring and characterizing international collaboration patterns in Indian scientific research.
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- Scientometrics, 2023, v. 128, n. 9, p. 5081, doi. 10.1007/s11192-023-04794-3
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Synthetic biology and governance research in China: a 40-year evolution.
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- Scientometrics, 2023, v. 128, n. 9, p. 5293, doi. 10.1007/s11192-023-04789-0
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- Article
From AR5 to AR6: exploring research advancement in climate change based on scientific evidence from IPCC WGI reports.
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- Scientometrics, 2023, v. 128, n. 9, p. 5227, doi. 10.1007/s11192-023-04788-1
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Bibliometric denialism.
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- Scientometrics, 2023, v. 128, n. 9, p. 5357, doi. 10.1007/s11192-023-04787-2
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Exploring the research features of Nobel laureates in Physics based on the semantic similarity measurement.
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- Scientometrics, 2023, v. 128, n. 9, p. 5247, doi. 10.1007/s11192-023-04786-3
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The effect of social media knowledge cascade: an analysis of scientific papers diffusion.
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- Scientometrics, 2023, v. 128, n. 9, p. 5169, doi. 10.1007/s11192-023-04785-4
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Knowledge discovery from the texts of Nobel Prize winners in literature: sentiment analysis and Latent Dirichlet Allocation.
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- Scientometrics, 2023, v. 128, n. 9, p. 5311, doi. 10.1007/s11192-023-04783-6
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Self-supervised scientific document recommendation based on contrastive learning.
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- Scientometrics, 2023, v. 128, n. 9, p. 5027, doi. 10.1007/s11192-023-04782-7
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A model for reference list length of scholarly articles.
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- Scientometrics, 2023, v. 128, n. 9, p. 5335, doi. 10.1007/s11192-023-04780-9
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Contextualised segment-wise citation function classification.
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- Scientometrics, 2023, v. 128, n. 9, p. 5117, doi. 10.1007/s11192-023-04778-3
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- Article
Technological relatedness: how do firms diversify their technology?
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- Scientometrics, 2023, v. 128, n. 9, p. 4901, doi. 10.1007/s11192-023-04775-6
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Citation link prediction based on multi-relational neural topic model.
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- Scientometrics, 2023, v. 128, n. 9, p. 5277, doi. 10.1007/s11192-023-04766-7
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- Article
Prediction of patent grant and interpreting the key determinants: an application of interpretable machine learning approach.
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- Scientometrics, 2023, v. 128, n. 9, p. 4933, doi. 10.1007/s11192-023-04736-z
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- Article
Portraying the life cycle of ideas in social psychology through functional (textual) data analysis: a toolkit for digital history.
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- Scientometrics, 2023, v. 128, n. 9, p. 5197, doi. 10.1007/s11192-023-04722-5
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Discovery and recognition of formula concepts using machine learning.
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- Scientometrics, 2023, v. 128, n. 9, p. 4971, doi. 10.1007/s11192-023-04667-9
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Correction: Research topic flows in co‑authorship networks.
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- 2023
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- Correction Notice
Research topic flows in co-authorship networks.
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- Scientometrics, 2023, v. 128, n. 9, p. 5051, doi. 10.1007/s11192-022-04529-w
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- Article