Call For Editor

Call for Editors and Chapter Authors - Publish Your Edited Volume with Us

Interested in editing an academic or scholarly edited book? We invite scholars, researchers, and professionals to contribute as a Book Editors and Chapter Authors for upcoming edited volume book projects.

Guidelines for Editors and Authors

Editors and authors should submit a proposed book title along with their full name, affiliation, and contact details. Once approved, you may write or collect chapters for your book.

 

Interested Editors or Chapter Authors can contact us via:

editor@deepscienceresearch.com

WhatsApp: +91 7977171947     

Methodology used to identify top research topics

To identify trending and top research topics for edited volumes, we have employed integrated bibliometric techniques, PRISMA analysis, and trend analysis. In the first stage, a comprehensive literature search was conducted from Scopus, Web of Science, and PubMed, using subject wise keywords and inclusion criteria. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were followed for transparency and rigor in the selection process. This process comprised identification, screening, eligibility assessment, and final inclusion of relevant publications to minimize bias and ensuring reproducibility.

Then, bibliometric analysis was performed to investigate publication outputs, citation frequencies, authorship patterns, and keyword co-occurrence. In this way, research hot spot is identified. Trend analysis techniques, keyword burst detection and longitudinal frequency mapping, were subsequently used to see how themes evolved over time. Emerging research topics were detected by sudden increases in keyword usage, and well-established research areas were inferred from persisted high-frequency terms.

Related topics were also clustered using VOSviewer to understand thematic structures and interconnections of the field. Statistical analysis supported the detection of growth patterns and forecasted potential areas of future interest. Following are the trending and top research topics identified using this methodology.

Call for Book Editors and Chapter Authors: Open Titles

Agriculture

Integrating Precision Agriculture, IoT and Machine Learning for Climate-Resilient Crop Management

Smart Farming Robotics and Sensor Networks for Sustainable Resource Use in Arid Agroecosystems

Agroecological Intensification and Biodiversity Conservation for Sustainable Food Systems

Blockchain and Traceability in Agricultural Supply Chains for Food Safety and Consumer Trust

Adaptive Agronomy under Changing Climates: Modeling, Phenotyping and Policy Interventions

Digital Agriculture 4.0: Data-Driven Decision-Support Systems for Crop Yield Prediction

Soil Microbiome, Biostimulants and Sustainable Soil Health in Intensive Farming Systems

Climate Smart Livestock Systems: Mitigation of Greenhouse Gas Emissions and Welfare Standards

Bioenergy and Nutrient Recycling from Agricultural Residues in Circular Food Systems

Artificial Intelligence-Powered Pest and Disease Outbreak Prediction Using Big Data Analytics in Agriculture

Biochar and Nano-Fertilizers for Carbon-Negative and Resource-Efficient Agriculture

Business, Management, and Accounting

Artificial Intelligence-Driven Management Accounting Systems: Performance, Risk, and Sustainability

Blockchain, Quantum Computing, and Cybersecurity in Financial Reporting: Challenges for Accounting Regulation

Integrating Environmental, Social, Governance (ESG) Metrics into Cost Management and Managerial Decision-Making

Behavioral Finance, Corporate Governance, and Fraud Detection: Modeling Internal Control Systems in Multinational Corporations

Sustainability Performance Measurement, Circular Economy Practices, and Management Control in the Product Lifecycle

Green Human Resource Management, Environmental Management Accounting, and Organizational Behavior

Machine Learning and Explainable Artificial Intelligence in Managerial Decision Support: Measuring Intangible Assets and Non-financial Reporting

E-Commerce Trust, Customer Retention, and Artificial Intelligence-Based Personalization in Online Retail

Cybersecurity Management, Data Privacy Regulation, and Business Continuity in Cloud-Based Enterprises

Customer Relationship Management, Big Data Analytics, and Predictive Modeling in Financial Services

Enhancing Customer Retention through Digital Personalization: Strategies for Improving Customer Experience, Satisfaction, and Engagement

Enhancing Customer Satisfaction through Service Quality Dimensions: Customer Loyalty, Relationship Marketing, and Experience Management

Enhancing Customer Experience through Artificial Intelligence: The Role of Predictive Analytics, Personalization, and Engagement in Customer Relationship Management

Enhancing Customer Experience in E-Commerce through Personalization and Recommendation Systems: Effects on Customer Satisfaction, Loyalty, and Retention