Quantum Prime--Zeta Riemann Zeros: A Direct Application to Bibliometrical Data

This paper presents the first commercial application of the Quantum Prime--Zeta Unification Theorem, which provides a predefined operator framework for generating Riemann zeta zeros beyond the highest recorded zeros in the LMFDB database. We demonstrate a novel discovery at the intersection of prime number theory, harmonic analysis, and bibliometrics, showing that reader engagement patterns in a self-contained academic paper series follow a precise scaling law derived from prime number distribution. Through computational verification of bibliometric data from a seven-paper series on Quantum Prime--Zeta theory, we establish that the average reader engagement metric $P_{n_average}$ scales approximately by a factor of 1.93 relative to the prime set average $\mu = \sum(\text{prime set})/N$. Building upon the operator equation $t_n = \mu + n \cdot \Delta + \sin(\theta_n)$--initially developed to construct Riemann zeta zeros--we develop a practical measurement framework where $\Delta = \frac{2\pi}{\log(\mu/2\pi)}$ represents quantum spacing and $\theta_n$ is the theta spectrum phase parameter. This framework provides both empirical validation for quantum-inspired knowledge dissemination and establishes a reference anchor for measuring engagement levels against quantum excitation states. Crucially, we reveal that the quantum fluctuation term $\sin(\theta_n)$ represents a confidence level metric ranging from $-1$ (minimum confidence) to $+1$ (maximum confidence), providing a novel quantum mechanical interpretation of statistical uncertainty in bibliometric analysis with direct commercial applications in academic impact assessment.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-08
DOI
https://doi.org/10.5281/zenodo.17081386
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
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article

Quantum Prime--Zeta Riemann Zeros: A Direct Application to Bibliometrical Data

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

Quantum Prime--Zeta Riemann Zeros: A Direct Application to Bibliometrical Data

article en

Abstract

This paper presents the first commercial application of the Quantum Prime--Zeta Unification Theorem, which provides a predefined operator framework for generating Riemann zeta zeros beyond the highest recorded zeros in the LMFDB database. We demonstrate a novel discovery at the intersection of prime number theory, harmonic analysis, and bibliometrics, showing that reader engagement patterns in a self-contained academic paper series follow a precise scaling law derived from prime number distribution. Through computational verification of bibliometric data from a seven-paper series on Quantum Prime--Zeta theory, we establish that the average reader engagement metric $P_{n_average}$ scales approximately by a factor of 1.93 relative to the prime set average $\mu = \sum(\text{prime set})/N$. Building upon the operator equation $t_n = \mu + n \cdot \Delta + \sin(\theta_n)$--initially developed to construct Riemann zeta zeros--we develop a practical measurement framework where $\Delta = \frac{2\pi}{\log(\mu/2\pi)}$ represents quantum spacing and $\theta_n$ is the theta spectrum phase parameter. This framework provides both empirical validation for quantum-inspired knowledge dissemination and establishes a reference anchor for measuring engagement levels against quantum excitation states. Crucially, we reveal that the quantum fluctuation term $\sin(\theta_n)$ represents a confidence level metric ranging from $-1$ (minimum confidence) to $+1$ (maximum confidence), providing a novel quantum mechanical interpretation of statistical uncertainty in bibliometric analysis with direct commercial applications in academic impact assessment.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 48%
Geochemistry and Geologic Mapping
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Quantum Prime--Zeta Riemann Zeros: A Direct Application to Bibliometrical Data · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS