Research on Harshvardhan https://harsh17.in/tags/research/ Recent content in Research on Harshvardhan Harshvardhan https://harsh17.in/img/sharing-image.png https://harsh17.in/img/sharing-image.png Hugo en Sat, 03 Oct 2026 00:00:00 +0000 Journal Suggestor https://harsh17.in/journal-suggestor/ Sat, 03 Oct 2026 00:00:00 +0000 https://harsh17.in/journal-suggestor/ Find journals for a manuscript from its title and abstract, with matching articles, journal profiles, and comparisons. Choosing a journal starts with a practical question: where are people publishing work related to mine? Journal Suggestor takes a manuscript title and abstract and uses public scholarly metadata from OpenAlex to identify journals publishing related research.

Each suggestion includes the articles behind the match. You can inspect journal profiles, build a shortlist, compare journals, and export records as PDF or CSV.

The project accompanies our working paper, How to identify an appropriate journal for your manuscript: A predictive modeling approach, with Pritam Ranjan and Reshu Agarwal.

Try Journal Suggestor · Source code · Archived software

]]> smartcor https://harsh17.in/smartcor/ Sat, 03 Oct 2026 00:00:00 +0000 https://harsh17.in/smartcor/ R and Python packages that select correlation methods for mixed variable types and explain the choice, with estimates and statistical inference. A correlation matrix is easy to calculate. Choosing a suitable method for each pair of variables takes more care, especially when a dataset mixes continuous, count, binary, ordinal, and categorical variables.

smartcor detects variable types, selects a suitable correlation or association method, and reports the estimate, confidence interval, p-value, and reasoning behind the choice. It also identifies alternative methods. The project has two implementations: smartcor for R and pysmartcor for Python.

I developed the project with Pritam Ranjan. Our accompanying paper, smartcor: Intelligent Correlation Method Selection for Mixed Variable Types, explains the method-selection framework.

Install the Python package with:

pip install pysmartcor
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