A New Study on Deprecated KNIME Nodes and the Reproducibility of KNIME Workflows in Scientific re...

Dear KNIME community,
I have prepared two papers (preprint stage) about KNIME usage practices and evolution.

Deprecated KNIME Nodes in Source Repositories and User Workflows
https://www.academia.edu/170296646/Deprecated_KNIME_Nodes_in_Source_Repositories_and_User_Workflows
Examines how frequently deprecated nodes appear in KNIME’s public source repositories and user workflows. Analysis of 13 source snapshots from 2018–2026 shows that deprecated ordinary nodes increased from 14.83% to 33.33%. Among 62 workflows uploaded to k2pweb for conversion to Python, 33.87% contained at least one deprecated node. The results demonstrate that deprecated functionality is not marginal and should be considered when preserving, reusing, and reproducing KNIME workflows.

Auditing KNIME Workflows in Scientific Studies: A Semi-Automated Evidence Pipeline
https://www.academia.edu/170190333/Auditing_KNIME_Workflows_in_Scientific_Studies_A_Semi_Automated_Evidence_Pipeline
I examined the 100 most-cited scientific papers using KNIME. Only 22 provided downloadable workflows, and only 5 contained workflows that still executed successfully in the current KNIME platform. Our study highlights the importance of preserving not only workflow files but also their execution environments to support reproducible research.

What do you think? Is it interesting?
I look forward to hearing from you.