A hybrid framework for predicting scholarly recognition of authors using network centrality and generative AI embeddings
Bibliographic Data
| ID | 21443641 |
|---|---|
| Authors | Amer Zaheer (Shifa Tameer-e-Millat University), Ghulam Mustafa (0000-0001-6510-6496, Shifa Tameer-e-Millat University, corresponding author), Muhammad Tanvir Afzal (0000-0002-9765-8815, Shifa Tameer-e-Millat University) |
| Year | 2026 |
| Volume | 131 |
| Issue | 5 |
| Pages | 2885-2925 |
| Publication date | 2026-05-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Scientometrics (JOURNAL) |
| Journal identifiers | ISSN: 0138-9130 • E-ISSN: 1588-2861 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s11192-026-05609-x |
| OpenAlex | W7154852279 |
| Language | EN |
| References cited | 59 |
Centrality · Deep learning · Discriminative model · Generative grammar · Operationalization · Probabilistic logic · Scalability · Academic Publishing and Open Access · Authorship Attribution and Profiling · scientometrics and bibliometrics research
DeepWalk
Atypical Combinations and Scientific Impact
Node2vec
Team size matters
An index to quantify an individual's scientific research output
Normalising the H-index
Predicting the impact and publication date of individual scientists’ future papers
Ranking of author assessment parameters using Logistic Regression
Rise of Generative Artificial Intelligence in Science
A network-driven study of hyperprolific authors in computer science
The emergence and evolution of ambiguous ideas
Four problems of the h-index for assessing the research productivity and impact of individual authors
Research quality evaluation by AI in the era of large language models
Field-level differences in paper and author characteristics across all fields of science in Web of Science, 2000–2020
Investigating the impact of data normalization methods on predicting electricity consumption in a building using different artificial neural network models
Google Scholar as a new source for citation analysis
| Highly cited | No |
|---|