Open Large Language Models for Scientometrics
A special issue of Metrics (ISSN 3042-5042).
Deadline for manuscript submissions: 15 April 2026 | Viewed by 38
Special Issue Editor
Interests: scientometrics; bibliometrics; altmetrics; social network analysis
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Large language models (LLMs) are increasingly used in all areas of science. These models are trained on vast amounts of text data and use deep learning techniques to generate human-like responses, understand language, and perform a wide range of text-based tasks. This special issue aims to explore the use of open LLMs in advancing the field of scientometrics. Open LLMs refer to LLMs that are made accessible to the public in some form, typically through open-source licenses or publicly available application programming interfaces.
The “open” aspect can vary from fully open-source models that allow users to inspect, modify, and/or deploy them freely to more restrictive, partially open models that may provide access to pre-trained versions but restrict fine-tuning or commercial use. Some well-known open LLMs include DeepSeek, Llama, Gemma, Phi, and Mistral. They serve as alternatives to proprietary models, fostering transparency and collaboration in LLM-supported research.
The focus of this special issue is intentionally broad. Contributions that examine the theoretical foundations of integrating open LLMs into scientometric research, presenting practical use cases, or discuss potential challenges, ethical issues, and policy implications are welcome.
Dr. Robin Haunschild
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Metrics is an international peer-reviewed open access quarterly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- large language models
- scientometrics
- artificial intelligence
- open science
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