Natalia Kireeva

670 total citations
30 papers, 536 citations indexed

About

Natalia Kireeva is a scholar working on Materials Chemistry, Computational Theory and Mathematics and Electrical and Electronic Engineering. According to data from OpenAlex, Natalia Kireeva has authored 30 papers receiving a total of 536 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Materials Chemistry, 11 papers in Computational Theory and Mathematics and 11 papers in Electrical and Electronic Engineering. Recurrent topics in Natalia Kireeva's work include Computational Drug Discovery Methods (11 papers), Advancements in Battery Materials (7 papers) and Machine Learning in Materials Science (5 papers). Natalia Kireeva is often cited by papers focused on Computational Drug Discovery Methods (11 papers), Advancements in Battery Materials (7 papers) and Machine Learning in Materials Science (5 papers). Natalia Kireeva collaborates with scholars based in Russia, France and Saudi Arabia. Natalia Kireeva's co-authors include Alexandre Varnek, Igor I. Baskin, В. С. Первов, Vitaly P. Solov’ev, А. Yu. Tsivadze, Gilles Marcou, Igor V. Tetko, Dragos Horvath, Héléna A. Gaspar and С. Л. Кузнецов and has published in prestigious journals such as SHILAP Revista de lepidopterología, Physical Chemistry Chemical Physics and Industrial & Engineering Chemistry Research.

In The Last Decade

Natalia Kireeva

28 papers receiving 526 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Natalia Kireeva Russia 13 228 193 106 103 80 30 536
Abdo Mohammed Al‐Fakih Malaysia 15 138 0.6× 192 1.0× 86 0.8× 45 0.4× 33 0.4× 38 520
Shih‐Cheng Li Taiwan 11 215 0.9× 293 1.5× 116 1.1× 54 0.5× 32 0.4× 20 547
Iiris Kahn Estonia 7 337 1.5× 173 0.9× 109 1.0× 31 0.3× 33 0.4× 12 675
William T. Darrow United States 5 204 0.9× 361 1.9× 109 1.0× 37 0.4× 75 0.9× 6 578
Adam C. Mater Australia 4 177 0.8× 254 1.3× 130 1.2× 53 0.5× 13 0.2× 6 471
Lagnajit Pattanaik United States 10 357 1.6× 496 2.6× 139 1.3× 47 0.5× 77 1.0× 12 640
Eduardo J. Delgado Chile 15 66 0.3× 325 1.7× 76 0.7× 85 0.8× 121 1.5× 62 656
Charles J. McGill United States 7 230 1.0× 261 1.4× 136 1.3× 36 0.3× 26 0.3× 10 477
Sergio Pablo‐García Canada 11 77 0.3× 318 1.6× 35 0.3× 90 0.9× 163 2.0× 23 634
Murat Cihan Sorkun Netherlands 10 154 0.7× 187 1.0× 75 0.7× 88 0.9× 9 0.1× 14 415

Countries citing papers authored by Natalia Kireeva

Since Specialization
Citations

This map shows the geographic impact of Natalia Kireeva's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Natalia Kireeva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natalia Kireeva more than expected).

Fields of papers citing papers by Natalia Kireeva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Natalia Kireeva. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Natalia Kireeva. The network helps show where Natalia Kireeva may publish in the future.

Co-authorship network of co-authors of Natalia Kireeva

This figure shows the co-authorship network connecting the top 25 collaborators of Natalia Kireeva. A scholar is included among the top collaborators of Natalia Kireeva based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Natalia Kireeva. Natalia Kireeva is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kireeva, Natalia & А. Yu. Tsivadze. (2024). Novelty detection in the design of synthesis of garnet-structured solid electrolytes. Journal of Solid State Chemistry. 334. 124669–124669. 1 indexed citations
2.
Kireeva, Natalia & А. Yu. Tsivadze. (2024). Using machine learning towards enhancement of electrochemical activity in OER/ORR half-reactions of MXene cathode materials for Li-air batteries. Solid State Ionics. 418. 116742–116742. 2 indexed citations
3.
Kireeva, Natalia & А. Yu. Tsivadze. (2024). Oxide ceramics of A2M3O12 family with negative and close-to-zero thermal expansion coefficients: Machine learning-based modeling of functional characteristics. Journal of Alloys and Compounds. 990. 174356–174356. 6 indexed citations
4.
Kireeva, Natalia, В. Е. Баулин, & А. Yu. Tsivadze. (2024). Machine-learning-supported analysis of synergistic extraction systems towards enhanced selectivity of lithium extraction from brines. Reaction Chemistry & Engineering. 10(3). 625–645.
5.
Kireeva, Natalia, А. Yu. Tsivadze, & В. С. Первов. (2023). Modeling ionic conductivity and activation energy in garnet-structured solid electrolytes: The role of composition, grain boundaries and processing. Solid State Ionics. 399. 116293–116293. 9 indexed citations
6.
Kireeva, Natalia, А. Yu. Tsivadze, & В. С. Первов. (2023). Predicting Ionic Conductivity in Thin Films of Garnet Electrolytes Using Machine Learning. Batteries. 9(9). 430–430. 10 indexed citations
7.
Kireeva, Natalia, В. Е. Баулин, & А. Yu. Tsivadze. (2023). A Machine Learning-Based Study of Li+ and Na+ Metal Complexation with Phosphoryl-Containing Ligands for the Selective Extraction of Li+ from Brine. ChemEngineering. 7(3). 41–41. 5 indexed citations
8.
Kireeva, Natalia, et al.. (2020). Silver and gold nanoparticles as an integral part of nanooncology: current state of the problem. SHILAP Revista de lepidopterología. 89–100. 1 indexed citations
9.
Kireeva, Natalia, et al.. (2019). Comparison of Approximation Methods for the Estimation of Distributions in the Analysis of the G/G/1 Queue. International Journal of Mathematical Engineering and Management Sciences. 4(4). 1040–1050. 1 indexed citations
10.
11.
Tsivadze, А. Yu., et al.. (2014). Supervised extensions of chemography approaches: case studies of chemical liabilities assessment. Journal of Cheminformatics. 6(1). 20–20. 4 indexed citations
12.
Kireeva, Natalia, et al.. (2014). Impact of distance-based metric learning on classification and visualization model performance and structure–activity landscapes. Journal of Computer-Aided Molecular Design. 28(2). 61–73. 9 indexed citations
13.
Первов, В. С., et al.. (2014). New possibilities to obtain ceramic nanoheterostructures with enhanced ionic conductivity. Nanotechnologies in Russia. 9(7-8). 347–355. 3 indexed citations
14.
Kireeva, Natalia, et al.. (2014). Nonlinear Dimensionality Reduction for Visualizing Toxicity Data: Distance‐Based Versus Topology‐Based Approaches. ChemMedChem. 9(5). 1047–1059. 9 indexed citations
15.
Kireeva, Natalia, Igor I. Baskin, Héléna A. Gaspar, et al.. (2012). Generative Topographic Mapping (GTM): Universal Tool for Data Visualization, Structure‐Activity Modeling and Dataset Comparison. Molecular Informatics. 31(3-4). 301–312. 108 indexed citations
16.
Kireeva, Natalia, et al.. (2012). Towardsin silicoidentification of the human ether-a-go-go-related gene channel blockers: discriminative vs. generative classification models. SAR and QSAR in environmental research. 24(2). 103–117. 14 indexed citations
17.
Bonachéra, Fanny, Gilles Marcou, Natalia Kireeva, Alexandre Varnek, & Dragos Horvath. (2012). Using self-organizing maps to accelerate similarity search. Bioorganic & Medicinal Chemistry. 20(18). 5396–5409. 15 indexed citations
18.
Baskin, Igor I., Natalia Kireeva, & Alexandre Varnek. (2010). The One‐Class Classification Approach to Data Description and to Models Applicability Domain. Molecular Informatics. 29(8-9). 581–587. 47 indexed citations
19.
Varnek, Alexandre, Denis Fourches, Natalia Kireeva, et al.. (2008). Computer-aided design of new metal binders. Radiochimica Acta. 96(8). 505–511. 12 indexed citations
20.
Solov’ev, Vitaly P., et al.. (2006). Structure-property modelling of complex formation of strontium with organic ligands in water. Journal of Structural Chemistry. 47(2). 298–311. 17 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Abdo Mohammed Al‐Fakih Breakdown of academic impact, for papers by Shih‐Cheng Li Breakdown of academic impact, for papers by Iiris Kahn Breakdown of academic impact, for papers by William T. Darrow Breakdown of academic impact, for papers by Adam C. Mater Breakdown of academic impact, for papers by Lagnajit Pattanaik Breakdown of academic impact, for papers by Eduardo J. Delgado Breakdown of academic impact, for papers by Charles J. McGill Breakdown of academic impact, for papers by Sergio Pablo‐García Breakdown of academic impact, for papers by Murat Cihan Sorkun
Rankless by CCL
2026