Ivan Malashin

588 total citations
44 papers, 221 citations indexed

About

Ivan Malashin is a scholar working on Mechanical Engineering, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, Ivan Malashin has authored 44 papers receiving a total of 221 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Mechanical Engineering, 10 papers in Materials Chemistry and 7 papers in Biomedical Engineering. Recurrent topics in Ivan Malashin's work include Machine Learning in Materials Science (8 papers), Injection Molding Process and Properties (5 papers) and Computational Drug Discovery Methods (5 papers). Ivan Malashin is often cited by papers focused on Machine Learning in Materials Science (8 papers), Injection Molding Process and Properties (5 papers) and Computational Drug Discovery Methods (5 papers). Ivan Malashin collaborates with scholars based in Russia and China. Ivan Malashin's co-authors include В С Тынченко, А. С. Бородулин, Andrei Gantimurov, Vladimir Nelyub, Yadviga Tynchenko, В В Кукарцев, Xiaogang Wu, Tatyana Panfilova, Van-Linh Nguyen and V V Bukhtoyarov and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Ivan Malashin

34 papers receiving 208 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ivan Malashin Russia 9 54 28 27 26 24 44 221
Vladimir Nelyub Russia 11 96 1.8× 41 1.5× 37 1.4× 35 1.3× 24 1.0× 46 306
Khristina Maksudovna Vafaeva India 8 27 0.5× 23 0.8× 25 0.9× 31 1.2× 18 0.8× 50 194
Junqi Chen China 8 95 1.8× 39 1.4× 50 1.9× 27 1.0× 11 0.5× 38 368
M. Wahl Germany 10 68 1.3× 36 1.3× 30 1.1× 44 1.7× 68 2.8× 43 320
Amir Ali Malaysia 10 36 0.7× 20 0.7× 18 0.7× 11 0.4× 8 0.3× 34 374
Hui Jin China 8 107 2.0× 29 1.0× 32 1.2× 70 2.7× 33 1.4× 29 317
Abhishek Kumar Tripathi India 10 52 1.0× 17 0.6× 17 0.6× 99 3.8× 14 0.6× 51 332
Sisi Zhang China 6 191 3.5× 65 2.3× 54 2.0× 19 0.7× 12 0.5× 27 339
Qingyang Zhang China 11 47 0.9× 32 1.1× 40 1.5× 48 1.8× 52 2.2× 30 333
Qi Luo China 9 72 1.3× 12 0.4× 13 0.5× 55 2.1× 4 0.2× 22 275

Countries citing papers authored by Ivan Malashin

Since Specialization
Citations

This map shows the geographic impact of Ivan Malashin'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 Ivan Malashin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Malashin more than expected).

Fields of papers citing papers by Ivan Malashin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ivan Malashin. 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 Ivan Malashin. The network helps show where Ivan Malashin may publish in the future.

Co-authorship network of co-authors of Ivan Malashin

This figure shows the co-authorship network connecting the top 25 collaborators of Ivan Malashin. A scholar is included among the top collaborators of Ivan Malashin 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 Ivan Malashin. Ivan Malashin 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.
Malashin, Ivan & В С Тынченко. (2025). Application of cluster analysis methods for dynamic search space adjustment in genetic algorithms. 26(3). 318–333.
2.
Malashin, Ivan, В С Тынченко, Andrei Gantimurov, Vladimir Nelyub, & А. С. Бородулин. (2025). Physics-Informed Neural Networks in Polymers: A Review. Polymers. 17(8). 1108–1108. 7 indexed citations
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Nelyub, Vladimir, et al.. (2025). Barabási–Albert-Based Network Growth Model to Sustainable Urban Planning. Sustainability. 17(3). 1095–1095.
5.
Malashin, Ivan, et al.. (2025). Machine Learning in Polymeric Technical Textiles: A Review. Polymers. 17(9). 1172–1172. 5 indexed citations
6.
Malashin, Ivan, et al.. (2024). BCSnet: A U-Net-Based Model for Segmentation of Brain Cells in Trypan Blue Images. IEEE Access. 12. 192915–192930.
7.
Malashin, Ivan, et al.. (2024). Predicting defects in SLM-produced parts based on melt pools clustering analysis. The International Journal of Advanced Manufacturing Technology. 134(3-4). 1169–1178. 2 indexed citations
8.
Malashin, Ivan, В С Тынченко, Vladimir Nelyub, et al.. (2024). Controlled Porosity of Selective Laser Melting-Produced Thermal Pipes: Experimental Analysis and Machine Learning Approach for Pore Recognition on Pipes Surfaces. Sensors. 24(15). 4959–4959. 3 indexed citations
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11.
Malashin, Ivan, В С Тынченко, Andrei Gantimurov, et al.. (2024). Predicting Sustainable Crop Yields: Deep Learning and Explainable AI Tools. Sustainability. 16(21). 9437–9437. 16 indexed citations
12.
Тынченко, В С, et al.. (2024). Adaptive Management of Multi-Scenario Projects in Cybersecurity: Models and Algorithms for Decision-Making. Big Data and Cognitive Computing. 8(11). 150–150. 2 indexed citations
13.
Malashin, Ivan, В С Тынченко, Andrei Gantimurov, Vladimir Nelyub, & А. С. Бородулин. (2024). Applications of Long Short-Term Memory (LSTM) Networks in Polymeric Sciences: A Review. Polymers. 16(18). 2607–2607. 31 indexed citations
14.
Тынченко, В С, et al.. (2024). Recurrent Neural Network (RNN)-Based Approach to Predict Mean Flow Stress in Industrial Rolling. Metals. 14(12). 1329–1329. 1 indexed citations
15.
Tynchenko, Yadviga, В В Кукарцев, В С Тынченко, et al.. (2024). Landslide Assessment Classification Using Deep Neural Networks Based on Climate and Geospatial Data. Sustainability. 16(16). 7063–7063. 3 indexed citations
16.
Malashin, Ivan, et al.. (2024). Anomaly Detection in Restaurant Receipts Data. IEEE Access. 12. 145590–145607.
17.
Malashin, Ivan, et al.. (2024). Image Text Extraction and Natural Language Processing of Unstructured Data from Medical Reports. SHILAP Revista de lepidopterología. 6(2). 1361–1377. 3 indexed citations
18.
Malashin, Ivan, В С Тынченко, А. С. Бородулин, et al.. (2024). ML-Based Forecasting of Temporal Dynamics in Luminescence Spectra of Ag 2 S Colloidal Quantum Dots. IEEE Access. 12. 53320–53334. 3 indexed citations
19.
Bukhtoyarov, V V, et al.. (2024). Fuzzy Neural Network Applications in Biomass Gasification and Pyrolysis for Biofuel Production: A Review. Energies. 18(1). 16–16. 4 indexed citations
20.
Malashin, Ivan, et al.. (2023). Estimation and Prediction of the Polymers’ Physical Characteristics Using the Machine Learning Models. Polymers. 16(1). 115–115. 22 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.

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