Tootfinder

Mathematical proof concerning the additivity problem of nonlinear normalized citation counts
Xing Wang, Zhihui Zhang
https://arxiv.org/abs/2508.14595 https://

Mathematical proof concerning the additivity problem of nonlinear normalized citation counts
The issue of whether nonlinear normalized citation counts can be added is critically important in scientometrics because it touches upon the theoretical foundation of underlying computation in the field. In this paper, we provide rigorous mathematical proofs for the key theorems underlying this fundamental issue. Based on these proofs, we ultimately arrive at the following conclusion: a nonlinear normalization method for citation counts must be a non-equidistant transformation; consequently, th…

Not Here, Go There: Analyzing Redirection Patterns on the Web
Kritika Garg, Sawood Alam, Dietrich Ayala, Michele C. Weigle, Michael L. Nelson
https://arxiv.org/abs/2507.22019 ht…

Not Here, Go There: Analyzing Redirection Patterns on the Web
URI redirections are integral to web management, supporting structural changes, SEO optimization, and security. However, their complexities affect usability, SEO performance, and digital preservation. This study analyzed 11 million unique redirecting URIs, following redirections up to 10 hops per URI, to uncover patterns and implications of redirection practices. Our findings revealed that 50% of the URIs terminated successfully, while 50% resulted in errors, including 0.06% exceeding 10 hops. …

Cost for research -- how cost data of research can be included in open metadata to be reused and evaluated
Julia Bartlewski, Christoph Broschinski, Gernot Deinzer, Cornelia Lang, Dirk Pieper, Bianca Schweighofer, Colin Sippl, Lisa-Marie Stein, Alexander Wagner, Silke Weisheit
https://arxiv.org/abs/2506.18517

Cost for research -- how cost data of research can be included in open metadata to be reused and evaluated
The openCost project aims to enhance transparency in research funding by making publication-related costs publicly accessible, following FAIR principles. It introduces a metadata schema for cost data, allowing aggregation and analysis across institutions. The project promotes open access and cost-efficient models, benefiting academic institutions, funders, and policymakers.