Peter Mitrouchev

462 total citations
36 papers, 275 citations indexed

About

Peter Mitrouchev is a scholar working on Industrial and Manufacturing Engineering, Control and Systems Engineering and Mechanical Engineering. According to data from OpenAlex, Peter Mitrouchev has authored 36 papers receiving a total of 275 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Industrial and Manufacturing Engineering, 12 papers in Control and Systems Engineering and 11 papers in Mechanical Engineering. Recurrent topics in Peter Mitrouchev's work include Manufacturing Process and Optimization (12 papers), Robotic Mechanisms and Dynamics (6 papers) and 3D Shape Modeling and Analysis (5 papers). Peter Mitrouchev is often cited by papers focused on Manufacturing Process and Optimization (12 papers), Robotic Mechanisms and Dynamics (6 papers) and 3D Shape Modeling and Analysis (5 papers). Peter Mitrouchev collaborates with scholars based in France, China and Bulgaria. Peter Mitrouchev's co-authors include Lixin Lu, Jingtao Chen, Franck Quaine, Sabine Coquillart, Guiqin Li, Diana Popescu, Jean-Claude Léon, Inga Morkvėnaitė-Vilkončienė, Bin Zi and Zhencai Zhu and has published in prestigious journals such as International Journal of Production Research, Energies and Smart Materials and Structures.

In The Last Decade

Peter Mitrouchev

35 papers receiving 258 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Mitrouchev France 10 152 94 65 49 39 36 275
Dianliang Wu China 9 176 1.2× 68 0.7× 39 0.6× 29 0.6× 57 1.5× 32 279
Shizhong Su United Kingdom 9 202 1.3× 133 1.4× 119 1.8× 26 0.5× 52 1.3× 24 352
Yijiang Huang United States 8 123 0.8× 65 0.7× 35 0.5× 81 1.7× 69 1.8× 15 216
Luis Matey Spain 8 136 0.9× 154 1.6× 69 1.1× 49 1.0× 105 2.7× 20 377
Bojan Dolšak Slovenia 12 105 0.7× 116 1.2× 20 0.3× 45 0.9× 20 0.5× 42 426
Brian Rooks South Korea 11 126 0.8× 163 1.7× 121 1.9× 19 0.4× 45 1.2× 60 383
Wenjian Yang China 13 137 0.9× 228 2.4× 266 4.1× 23 0.5× 45 1.2× 28 372
Franco Failli Italy 9 317 2.1× 106 1.1× 55 0.8× 86 1.8× 62 1.6× 16 468
Shuming Gao China 10 131 0.9× 58 0.6× 45 0.7× 18 0.4× 41 1.1× 39 277
K. Venkatesh Raja India 10 169 1.1× 83 0.9× 48 0.7× 40 0.8× 11 0.3× 36 351

Countries citing papers authored by Peter Mitrouchev

Since Specialization
Citations

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

Fields of papers citing papers by Peter Mitrouchev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Mitrouchev

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Mitrouchev. A scholar is included among the top collaborators of Peter Mitrouchev 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 Peter Mitrouchev. Peter Mitrouchev 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.
Li, Guiqin, et al.. (2024). A novel data fusion based intelligent identification approach for working cycle stages of hydraulic excavators. ISA Transactions. 148. 78–91. 5 indexed citations
2.
Li, Ming, et al.. (2024). Prediction of Mechanical Properties of Hot-Rolled Strip Steel Based on XGBoost and Metallurgical Mechanism. The Physics of Metals and Metallography. 125(13). 1728–1738. 2 indexed citations
3.
Li, Guiqin, et al.. (2023). 3D human body modeling with orthogonal human mask image based on multi-channel Swin transformer architecture. Image and Vision Computing. 137. 104795–104795. 2 indexed citations
4.
Li, Guiqin, et al.. (2023). Human body construction based on combination of parametric and nonparametric reconstruction methods. The Visual Computer. 40(8). 5557–5573. 3 indexed citations
5.
Li, Guiqin, et al.. (2023). Developing a data-driven hydraulic excavator fuel consumption prediction system based on deep learning. Advanced Engineering Informatics. 57. 102063–102063. 7 indexed citations
6.
Li, Guiqin, et al.. (2022). Design of a multi-sensor information acquisition system for mannequin reconstruction and human body size measurement under clothes. Textile Research Journal. 92(19-20). 3750–3765. 6 indexed citations
7.
Lekova, Anna, et al.. (2022). Making humanoid robots teaching assistants by using natural language processing (NLP) cloud-based services. HAL (Le Centre pour la Communication Scientifique Directe). 3(1). 30–39. 4 indexed citations
8.
Li, Guiqin, et al.. (2022). 3d Human Body Modeling with Orthogonal Human Mask Image Based on Multi-Channel Swin Transformer Architecture. SSRN Electronic Journal. 1 indexed citations
9.
Wang, Jun, et al.. (2018). The Effect of Temperature on Mechanical Properties of Modified Polypropylene. HAL (Le Centre pour la Communication Scientifique Directe). 35(1). 45–57. 1 indexed citations
10.
Bučinskas, Vytautas, et al.. (2017). Evaluation of Comfort Level and Harvested Energy in the Vehicle Using Controlled Damping. Energies. 10(11). 1742–1742. 10 indexed citations
11.
Ruan, Bo, et al.. (2016). New tension mechanism for high-speed tensile testing machine. International Journal of Automotive Technology. 17(6). 1033–1043. 3 indexed citations
12.
Chen, Jingtao, Peter Mitrouchev, Sabine Coquillart, & Franck Quaine. (2016). Disassembly task evaluation by muscle fatigue estimation in a virtual reality environment. The International Journal of Advanced Manufacturing Technology. 88(5-8). 1523–1533. 33 indexed citations
13.
Mitrouchev, Peter, et al.. (2015). Selective disassembly sequence generation based on lowest level disassembly graph method. The International Journal of Advanced Manufacturing Technology. 80(1-4). 141–159. 45 indexed citations
14.
Mitrouchev, Peter, et al.. (2015). Adjustable Compliance Joint with Torsion Spring for Human Centred Robots. International Journal of Advanced Robotic Systems. 1–1. 4 indexed citations
15.
Wang, Chenggang, Peter Mitrouchev, Guiqin Li, & Lixin Lu. (2014). 3D geometric removability analysis for virtual disassembly evaluation. 59. 1212–1217. 2 indexed citations
16.
Mitrouchev, Peter, et al.. (2014). Study on Energy Saving Model of Air Condition for Subway Station. Advanced materials research. 941-944. 2432–2435. 1 indexed citations
17.
Popescu, Diana, et al.. (2012). Assembly/disassembly analysis and modelling techniques: a review. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
18.
Mitrouchev, Peter, et al.. (2011). Evaluation of the logistic model of the reconfigurable manufacturing system based on generalised stochastic Petri nets. International Journal of Production Research. 50(22). 6249–6258. 7 indexed citations
19.
Mitrouchev, Peter, et al.. (2007). A Simulation Framework for Assembly/Disassembly Process Modeling. HAL (Le Centre pour la Communication Scientifique Directe). 1017–1027. 4 indexed citations
20.
Mitrouchev, Peter. (2005). Sub-chain symmetry approach for morphological choice of planar mechanisms in robotics. European Journal of Mechanics - A/Solids. 25(1). 166–188. 2 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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