Acknowledgment of Chimica Techno Acta’s Reviewers for 2024

We thank the scientists and experts in various fields represented in Chimica Techno Acta (CTA) for dedicating their time and effort to review the papers that we have sent them. Their assistance ensures that the CTA journal maintains a high-quality peer-review process, which is of paramount importance for the published papers. The CTA editorial office appreciates the contributions of the following reviewers and looks forward to future collaboration.

Authors

Institutions

Publication Details

Journal
Chimica Techno Acta
Published
2024-12-11
DOI
https://doi.org/10.15826/chimtech.2025.12.1.07
Primary Topic
Machine Learning in Materials Science
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Acknowledgment of Chimica Techno Acta’s Reviewers for 2024

Dmitry A. Medvedev
Chimica Techno Acta
Machine Learning in Materials Science
article

Acknowledgment of Chimica Techno Acta’s Reviewers for 2024

Dmitry A. Medvedev
article en

Abstract

We thank the scientists and experts in various fields represented in Chimica Techno Acta (CTA) for dedicating their time and effort to review the papers that we have sent them. Their assistance ensures that the CTA journal maintains a high-quality peer-review process, which is of paramount importance for the published papers. The CTA editorial office appreciates the contributions of the following reviewers and looks forward to future collaboration.

Chimica Techno ActaVol. 12(1)
Ural Federal University (RU), Institute of High Temperature Electrochemistry (RU)
Partnerships for the goals
Openalex Percentile: Top 86%
Machine Learning in Materials Science
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.