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About Journal Guru

Empowering researchers with intelligent journal prediction and recommendation

Our Mission

Journal Guru is an advanced AI-powered platform designed to help researchers make informed decisions about journal selection, impact prediction, and publication strategy.

We leverage machine learning models trained on extensive bibliographic data to provide accurate predictions about journal performance metrics, quartile rankings, impact factors, and deactivation risks.

Comprehensive Coverage

Access to thousands of peer-reviewed journals across all disciplines

ML-Powered Insights

Advanced machine learning models for accurate predictions

Real-Time Analysis

Up-to-date data from major indexing services like Scopus and WOS

Key Features

Quartile & Impact Prediction

Predict journal quartiles (Q1-Q4) and impact factors with high accuracy using our trained ML models.

Deactivation Risk Assessment

Identify journals at risk of deactivation or delisting from major indexing services.

Smart Journal Recommendations

Get personalized journal recommendations based on your research domain and publication goals.

Multi-Source Data Integration

Data from Scopus, Web of Science, Scimago, Elsevier CiteScore, and more.

Advanced Analytics

Compare multiple journals side-by-side with detailed metrics and trends.

Trend Forecasting

Forecast future journal performance and survival probability.

About the Creator

Mwnthai Narzary

Enthusiastic Research Scholar

Central Institute of Technology (CIT) Kokrajhar

I am an enthusiastic research scholar at CIT Kokrajhar, passionate about leveraging machine learning and data science to solve real-world problems in academic research.

My expertise spans machine learning, data engineering, and bibliometric analysis. Journal Guru represents my commitment to democratizing journal selection and helping researchers make data-driven publishing decisions.

Through this platform, I aim to bridge the gap between advanced AI technologies and practical research applications, enabling researchers worldwide to optimize their publication strategy and maximize their research impact.

Focus Areas: Machine Learning, Data Science, Bibliometrics, Research Analytics, Natural Language Processing

10K+

Journals Analyzed

98%

Prediction Accuracy

Global

User Base

Credit goes to

Scopus — for providing journal indexing and bibliographic datasets.

Elsevier — for access to scholarly metadata and publication resources.

Clarivate — for journal analytics and research indexing support.

SCImago — for journal ranking indicators and dataset resources.

Claude AI — for assistance in research, experimentation, analysis, and development support.

Ready to Find Your Perfect Journal?

Join thousands of researchers using Journal Guru to optimize their publication strategy.

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