Maksims Babenko

431 total citations
10 papers, 332 citations indexed

About

Maksims Babenko is a scholar working on Mechanical Engineering, Industrial and Manufacturing Engineering and Pharmaceutical Science. According to data from OpenAlex, Maksims Babenko has authored 10 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Mechanical Engineering, 3 papers in Industrial and Manufacturing Engineering and 2 papers in Pharmaceutical Science. Recurrent topics in Maksims Babenko's work include Advanced machining processes and optimization (4 papers), Injection Molding Process and Properties (3 papers) and Engineering Technology and Methodologies (2 papers). Maksims Babenko is often cited by papers focused on Advanced machining processes and optimization (4 papers), Injection Molding Process and Properties (3 papers) and Engineering Technology and Methodologies (2 papers). Maksims Babenko collaborates with scholars based in United Kingdom, Italy and Russia. Maksims Babenko's co-authors include Bana Shriky, Tim Gough, Olga Shebanova, Adrian Kelly, Najet Mahmoudi, Sarah E. Rogers, Mohammad Isreb, Tim Snow, Ben Whiteside and Davide Masato and has published in prestigious journals such as Journal of Colloid and Interface Science, Applied Thermal Engineering and Materials & Design.

In The Last Decade

Maksims Babenko

8 papers receiving 321 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maksims Babenko United Kingdom 5 86 82 82 77 64 10 332
Bana Shriky United Kingdom 6 79 0.9× 90 1.1× 30 0.4× 93 1.2× 69 1.1× 8 310
Zixin He Canada 9 158 1.8× 75 0.9× 39 0.5× 90 1.2× 65 1.0× 14 418
Rijian Song China 11 168 2.0× 42 0.5× 35 0.4× 174 2.3× 87 1.4× 26 473
Paul Tomlins United Kingdom 10 205 2.4× 48 0.6× 22 0.3× 182 2.4× 72 1.1× 16 433
Stéphane Bernhard Switzerland 8 193 2.2× 32 0.4× 30 0.4× 190 2.5× 129 2.0× 14 426
Ravindra V. Badhe India 12 215 2.5× 51 0.6× 20 0.2× 191 2.5× 50 0.8× 36 535
Zhijie Geng China 9 147 1.7× 29 0.4× 35 0.4× 205 2.7× 106 1.7× 17 450
Panupong Jaipan United States 8 163 1.9× 74 0.9× 20 0.2× 128 1.7× 69 1.1× 10 366
Sheila Maiz–Fernández Spain 9 160 1.9× 57 0.7× 15 0.2× 153 2.0× 144 2.3× 10 372
Guiwen Qu China 11 158 1.8× 18 0.2× 44 0.5× 119 1.5× 58 0.9× 16 350

Countries citing papers authored by Maksims Babenko

Since Specialization
Citations

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

Fields of papers citing papers by Maksims Babenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maksims Babenko

This figure shows the co-authorship network connecting the top 25 collaborators of Maksims Babenko. A scholar is included among the top collaborators of Maksims Babenko 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 Maksims Babenko. Maksims Babenko is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
2.
Babenko, Maksims, et al.. (2023). Monitoring as an element of quality management system of technological systems. AIP conference proceedings. 2701. 20059–20059.
3.
Babenko, Maksims, et al.. (2020). Controlling the periodicity of grinding wheel dressing with the application of expert decision support system. IOP Conference Series Materials Science and Engineering. 862(3). 32071–32071. 3 indexed citations
4.
Shriky, Bana, Adrian Kelly, Mohammad Isreb, et al.. (2019). Pluronic F127 thermosensitive injectable smart hydrogels for controlled drug delivery system development. Journal of Colloid and Interface Science. 565. 119–130. 217 indexed citations
5.
Masato, Davide, Maksims Babenko, Bana Shriky, et al.. (2018). Comparison of crystallization characteristics and mechanical properties of polypropylene processed by ultrasound and conventional micro-injection molding. The International Journal of Advanced Manufacturing Technology. 99(1-4). 113–125. 26 indexed citations
6.
Sweeney, J., et al.. (2017). Application of activated barrier hopping theory to viscoplastic modeling of glassy polymers. Mechanics of Time-Dependent Materials. 22(2). 145–165. 1 indexed citations
7.
Masato, Davide, Marco Sorgato, Maksims Babenko, Ben Whiteside, & Giovanni Lucchetta. (2017). Thin-wall injection molding of polystyrene parts with coated and uncoated cavities. Materials & Design. 141. 286–295. 29 indexed citations
8.
Babenko, Maksims, J. Sweeney, P. Petkov, et al.. (2017). Evaluation of heat transfer at the cavity-polymer interface in microinjection moulding based on experimental and simulation study. Applied Thermal Engineering. 130. 865–876. 30 indexed citations
9.
Bigot, Samuel, Franck Lacan, H. Hirshy, et al.. (2014). Micro and nano structuring of sapphire for Micro Injection process investigation. ORCA Online Research @Cardiff (Cardiff University). 1 indexed citations
10.
Babenko, Maksims, et al.. (2011). Thermal contact resistance in micromoulding. 1 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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