Connectionists: Call-for-chapters: (Springe-Nature) Research Discovery by Integrating Recommenders with Scientometrics

[KATSAROS Dimitrios]

Call for Book Chapters

Book Title: Research Discovery by Integrating Recommenders with 
Scientometrics

Publisher: Springer-Nature

Editors:
1. Chaker Jebari, University of Technology and Applied Sciences, Oman
Email: jebarichaker at yahoo.fr

2. Dimitrios Katsaros, University of Thessaly, Volos, Greece
Email: dkatsar at uth.gr

3. Yannis Manolopoulos, University of York, Europe Campus, Thessaloniki, 
Greece
Email: imanolopoulos at city.yorkeuropecampus.eu

****Corresponding Editor: Chaker Jebari (email: jebarichaker at yahoo.fr)


****Book Overview****

The rapid growth of scholarly publications has made research discovery 
increasingly complex.
Traditional search methods often fail to capture relevant literature 
efficiently or reveal
emerging trends. Recommendation systems, providing tailored research 
suggestions, and
scientometric methods, offering quantitative insights into the structure 
and impact of
scientific knowledge, represent complementary strategies to address 
these challenges.
This volume explores the integration of recommender systems and 
scientometrics to enhance
research discovery, literature review, and scientific evaluation. It 
seeks contributions on
novel algorithms, methodologies, evaluation frameworks, Artificial 
Intelligence and
Language Models based approaches, and other practical approaches that 
leverage this integration.
This book will provide a comprehensive reference for researchers, 
practitioners, and
policymakers in information science, computer science, and related fields.

****Important Dates****

Chapter proposal submission: 31 March 2026
Notification of proposal acceptance: 20 April 2026
Full chapter submission: 1st July 2026
Review feedback: 1st October 2026
Revised chapter submission: 1st November 2026
Final acceptance notification: 1st December 2026

****Objectives****

The main objectives of this book are to:
Advance research on scholarly recommender systems and research discovery
Integrate scientometric indicators into recommendation and ranking models
Explore the role of AI and LLMs in literature discovery and review 
automation
Provide evaluation frameworks, benchmarks, and user-centered studies
Address transparency, bias, fairness, and ethical issues in research 
discovery

****Scope and Topics****

We invite original, high-quality chapter proposals addressing 
theoretical, methodological,
and applied aspects of the integration of recommender systems and 
scientometrics,
including but not limited to:
   Scholarly recommender systems (articles, authors, venues, datasets)
   Citation and reference recommendation
   Scientometrics and bibliometrics for research discovery
   Hybrid literature discovery approaches including Machine Learning and 
scientometrics techniques
   Knowledge graphs for scholarly exploration
   Language models (LLMs) in time series (e.g., citation) processing
   Language models (LLMs) in literature discovery
   Automation of systematic literature reviews
   Research trend detection and topic evolution
   Explainable and interpretable recommendations
   Evaluation metrics, datasets, and benchmarks
   User studies and human-centered evaluation
   Bias, fairness, and ethical considerations
   Case studies of academic or commercial platforms

****Target Audience****

Researchers and PhD students in Information Science, Computer Science, 
Data Science,
and Scientometrics. Developers of scholarly search and recommendation 
systems.
Librarians, research managers, and science policy analysts.

****Submission Guidelines****

Chapters should be 20 pages at most, including references.
All submissions must be written in English.
Chapters must present original, unpublished work and must not be under 
consideration elsewhere.
All submissions will undergo a peer-review process in accordance with 
Springer’s editorial standards.
Accepted chapters must follow the Springer chapter formatting template 
that can be downloaded
from this link : 
https://www.springernature.com/gp/authors/publish-a-book/manuscript-guidelines

****Submission Procedure****

Authors are invited to submit a chapter proposal of 1000 words including:
Chapter title
Abstract
Keywords
Author(s) names and affiliations

****Submission should be sent using the following EasyChair link:

https://easychair.org/conferences/?conf=researchdiscovery202


****Publication Information****

Accepted chapters will be published in an edited volume by Springer Nature.
The book will be available in both print and electronic formats and indexed
according to Springer’s standard indexing services.