И. Н. Ердаков

620 total citations
28 papers, 478 citations indexed

About

И. Н. Ердаков is a scholar working on Mechanical Engineering, Mechanics of Materials and Electrical and Electronic Engineering. According to data from OpenAlex, И. Н. Ердаков has authored 28 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Mechanical Engineering, 9 papers in Mechanics of Materials and 8 papers in Electrical and Electronic Engineering. Recurrent topics in И. Н. Ердаков's work include Metallurgy and Material Forming (8 papers), Advanced machining processes and optimization (8 papers) and Industrial Engineering and Technologies (4 papers). И. Н. Ердаков is often cited by papers focused on Metallurgy and Material Forming (8 papers), Advanced machining processes and optimization (8 papers) and Industrial Engineering and Technologies (4 papers). И. Н. Ердаков collaborates with scholars based in Russia, Saudi Arabia and Egypt. И. Н. Ердаков's co-authors include Danil Yurievich Pimenov, Adel T. Abbas, Mahmoud S. Soliman, Magdy M. El Rayes, Mohamed A. Taha, Tadeusz Mikołajczyk, Munish Kumar Gupta, Andrés Bustillo, Ehab A. El‐Danaf and L. V. Radionova and has published in prestigious journals such as Materials Science and Engineering A, Materials and Energies.

In The Last Decade

И. Н. Ердаков

24 papers receiving 463 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
И. Н. Ердаков Russia 11 416 205 92 78 76 28 478
K. Leo Dev Wins India 11 449 1.1× 157 0.8× 111 1.2× 36 0.5× 78 1.0× 37 491
M. Subramanian India 11 298 0.7× 252 1.2× 140 1.5× 61 0.8× 44 0.6× 31 417
Adrián Rodríguez Spain 13 591 1.4× 240 1.2× 179 1.9× 94 1.2× 153 2.0× 23 673
Mehmet Boy Türkiye 13 553 1.3× 308 1.5× 180 2.0× 64 0.8× 99 1.3× 21 590
Engin Nas Türkiye 12 414 1.0× 262 1.3× 173 1.9× 39 0.5× 130 1.7× 30 490
Beatriz de Agustina Spain 12 323 0.8× 158 0.8× 89 1.0× 82 1.1× 28 0.4× 40 398
B. Surekha India 12 363 0.9× 170 0.8× 122 1.3× 31 0.4× 71 0.9× 39 440
Thella Babu Rao India 12 496 1.2× 198 1.0× 129 1.4× 46 0.6× 87 1.1× 43 546
Ömer Eyerci̇oğlu Türkiye 12 343 0.8× 146 0.7× 144 1.6× 58 0.7× 53 0.7× 37 428
Yassmin Seid Ahmed Canada 12 339 0.8× 153 0.7× 103 1.1× 68 0.9× 84 1.1× 22 400

Countries citing papers authored by И. Н. Ердаков

Since Specialization
Citations

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

Fields of papers citing papers by И. Н. Ердаков

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by И. Н. Ердаков. 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 И. Н. Ердаков. The network helps show where И. Н. Ердаков may publish in the future.

Co-authorship network of co-authors of И. Н. Ердаков

This figure shows the co-authorship network connecting the top 25 collaborators of И. Н. Ердаков. A scholar is included among the top collaborators of И. Н. Ердаков 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 И. Н. Ердаков. И. Н. Ердаков 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.
Ердаков, И. Н., et al.. (2025). Vibration-based wear diagnostics of jaw crusher steel plates using streaming data analysis. Ferrous Metallurgy Bulletin of Scientific Technical and Economic Information. 81(7). 27–37.
2.
Ердаков, И. Н., et al.. (2025). Engineering of critical cast parts made of high-strength cast iron based on world experience. Report 1. Development of casting manufacturing technology and computer simulation of casting processes. Ferrous Metallurgy Bulletin of Scientific Technical and Economic Information. 81(7). 14–19.
3.
Radionov, Andrey A., et al.. (2025). Improving Efficiency of Rolling Mill Stand Electric Drives Through Load Alignment. Energies. 18(12). 3175–3175. 1 indexed citations
4.
Radionov, Andrey A., et al.. (2024). Justifying and Implementing Concept of Object-Oriented Observers of Thermal State of Rolling Mill Motors. Energies. 17(16). 3878–3878. 4 indexed citations
6.
Radionova, L. V., et al.. (2023). Investigation of the stress-strain state of a wire during high-speed monolithic drawing. Ferrous Metallurgy Bulletin of Scientific Technical and Economic Information. 79(3). 242–250.
7.
Radionova, L. V., et al.. (2023). Experimental Determination and Calculation of the Wire Drawing Force in Monolithic Dies on Straight-Line Drawing Machines. Machines. 11(2). 252–252. 1 indexed citations
8.
Ердаков, И. Н., et al.. (2021). On the Direct Extrusion of Solder Wire from 52In-48Sn Alloy. Machines. 9(5). 93–93. 2 indexed citations
9.
Pimenov, Danil Yurievich, Adel T. Abbas, Munish Kumar Gupta, et al.. (2020). Investigations of surface quality and energy consumption associated with costs and material removal rate during face milling of AISI 1045 steel. The International Journal of Advanced Manufacturing Technology. 107(7-8). 3511–3525. 70 indexed citations
10.
Самодурова, М. Н., Nataliya Shaburova, О. В. Самойлова, et al.. (2020). A Study of Characteristics of Aluminum Bronze Coatings Applied to Steel Using Additive Technologies. Materials. 13(2). 461–461. 13 indexed citations
11.
Rayes, Magdy M. El, et al.. (2019). Effect of Feed Rate in FSW on the Mechanical and Microstructural Properties of AA5754 Joints. Advances in Materials Science and Engineering. 2019. 1–12. 47 indexed citations
12.
Abbas, Adel T., Danil Yurievich Pimenov, И. Н. Ердаков, et al.. (2019). Optimization of cutting conditions using artificial neural networks and the Edgeworth-Pareto method for CNC face-milling operations on high-strength grade-H steel. The International Journal of Advanced Manufacturing Technology. 105(5-6). 2151–2165. 51 indexed citations
13.
Soliman, Mahmoud S., Magdy M. El Rayes, Adel T. Abbas, et al.. (2019). Effect of tensile strain rate on high-temperature deformation and fracture of rolled Al-15 vol% B4C composite. Materials Science and Engineering A. 749. 129–136. 21 indexed citations
14.
Ердаков, И. Н., et al.. (2019). A regression-tree multilayer-perceptron hybrid strategy for the prediction of ore crushing-plate lifetimes. Journal of Advanced Research. 18. 173–184. 34 indexed citations
16.
Abbas, Adel T., Danil Yurievich Pimenov, И. Н. Ердаков, et al.. (2018). ANN Surface Roughness Optimization of AZ61 Magnesium Alloy Finish Turning: Minimum Machining Times at Prime Machining Costs. Materials. 11(5). 808–808. 62 indexed citations
17.
Ердаков, И. Н.. (2018). Computerized Study of Intense Deformed State of Grinding Plate of High-Manganese Steel. Diffusion and defect data, solid state data. Part B, Solid state phenomena/Solid state phenomena. 284. 563–567. 2 indexed citations
18.
Pimenov, Danil Yurievich, et al.. (2016). A Mechanism of Interaction of Metal Oxides with Carbon. Metallurgist. 60(7-8). 664–668. 1 indexed citations
19.
Ердаков, И. Н., et al.. (2014). Analysis of Pore Formation and Impeded Shrinkage of an Alloy in the System ProCast. Metallurgist. 58(3-4). 243–249. 5 indexed citations
20.
Ердаков, И. Н., et al.. (2014). Increase of wear resistance of steel plates for crushing stations. Journal of Friction and Wear. 35(6). 514–519. 10 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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