Quantifying Knowledge Evolution with Thermodynamics: A Data-Driven Study of Scientific Concepts

This document provides additional materials to support the findings discussed in the main text of the research article titled "Quantifying Knowledge Evolution with Thermodynamics: A Data-Driven Study of Scientific Concepts". These supplementary materials are intended to enhance understanding by allowing users to interactively explore the thermodynamic properties of scientific concepts through the use of active tooltips embedded within the figures.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-10-04
DOI
https://doi.org/10.5281/zenodo.13889771
Primary Topic
Data Visualization and Analytics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Quantifying Knowledge Evolution with Thermodynamics: A Data-Driven Study of Scientific Concepts

Zenodo (CERN European Organization for Nuclear Research)
Data Visualization and Analytics
article

Quantifying Knowledge Evolution with Thermodynamics: A Data-Driven Study of Scientific Concepts

article en

Abstract

This document provides additional materials to support the findings discussed in the main text of the research article titled "Quantifying Knowledge Evolution with Thermodynamics: A Data-Driven Study of Scientific Concepts". These supplementary materials are intended to enhance understanding by allowing users to interactively explore the thermodynamic properties of scientific concepts through the use of active tooltips embedded within the figures.

Zenodo (CERN European Organization for Nuclear Research)
Taras Shevchenko National University of Kyiv (UA), University of Warsaw (PL)
Openalex Percentile: Top 61%
Data Visualization and Analytics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.