Dániel Bachrathy

1.1k total citations
60 papers, 871 citations indexed

About

Dániel Bachrathy is a scholar working on Mechanical Engineering, Biomedical Engineering and Control and Systems Engineering. According to data from OpenAlex, Dániel Bachrathy has authored 60 papers receiving a total of 871 indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Mechanical Engineering, 39 papers in Biomedical Engineering and 12 papers in Control and Systems Engineering. Recurrent topics in Dániel Bachrathy's work include Advanced machining processes and optimization (46 papers), Advanced Surface Polishing Techniques (37 papers) and Advanced Measurement and Metrology Techniques (19 papers). Dániel Bachrathy is often cited by papers focused on Advanced machining processes and optimization (46 papers), Advanced Surface Polishing Techniques (37 papers) and Advanced Measurement and Metrology Techniques (19 papers). Dániel Bachrathy collaborates with scholars based in Hungary, United States and China. Dániel Bachrathy's co-authors include Gábor Stépàn, Adam K. Kiss, Tamás Insperger, Dávid Hajdu, Tamás G. Molnár, Gábor Orosz, Zoltán Dombóvári, Jokin Muñoa, Jànos Turi and Max Krüger and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal for Numerical Methods in Engineering and Journal of Sound and Vibration.

In The Last Decade

Dániel Bachrathy

58 papers receiving 849 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dániel Bachrathy Hungary 16 673 502 226 167 145 60 871
Jiao Li China 15 437 0.6× 172 0.3× 274 1.2× 152 0.9× 75 0.5× 63 725
Mikel Zatarain Spain 19 1.2k 1.7× 761 1.5× 354 1.6× 324 1.9× 233 1.6× 39 1.3k
Jay F. Tu United States 19 1.3k 1.9× 242 0.5× 134 0.6× 134 0.8× 528 3.6× 67 1.9k
Zoltán Dombóvári Hungary 24 1.8k 2.7× 1.4k 2.8× 646 2.9× 476 2.9× 256 1.8× 77 2.0k
Robson Pederiva Brazil 17 437 0.6× 168 0.3× 210 0.9× 84 0.5× 265 1.8× 38 658
Xingyu Zhao China 15 279 0.4× 238 0.5× 120 0.5× 94 0.6× 508 3.5× 41 939
S. A. Tobias United Kingdom 16 951 1.4× 585 1.2× 231 1.0× 188 1.1× 265 1.8× 56 1.2k
Shaoke Wan China 17 638 0.9× 304 0.6× 223 1.0× 116 0.7× 305 2.1× 45 906
Yusuke Ota Japan 14 191 0.3× 254 0.5× 115 0.5× 25 0.1× 133 0.9× 51 524

Countries citing papers authored by Dániel Bachrathy

Since Specialization
Citations

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

Fields of papers citing papers by Dániel Bachrathy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dániel Bachrathy

This figure shows the co-authorship network connecting the top 25 collaborators of Dániel Bachrathy. A scholar is included among the top collaborators of Dániel Bachrathy 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 Dániel Bachrathy. Dániel Bachrathy 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.
Bachrathy, Dániel, et al.. (2023). Multi-Dimensional Bisection Method in HIL Environment: Stability and Chatter Prediction in Turning. Periodica Polytechnica Mechanical Engineering. 67(3). 169–174. 1 indexed citations
2.
He, Ning, Addi Ait‐Mlouk, Dániel Bachrathy, et al.. (2023). Investigation on eXtreme Gradient Boosting for cutting force prediction in milling. Journal of Intelligent Manufacturing. 36(1). 285–301. 6 indexed citations
3.
Bachrathy, Dániel, et al.. (2023). Optimization of cutting force fitting model by Fast Fourier Transformation in milling. Journal of Manufacturing Processes. 99. 121–137. 11 indexed citations
4.
Bachrathy, Dániel, et al.. (2023). Collocation method for stochastic delay differential equations. Probabilistic Engineering Mechanics. 74. 103515–103515. 1 indexed citations
5.
Hajdu, Dávid, et al.. (2021). Chatter formation during milling due to stochastic noise-induced resonance. Mechanical Systems and Signal Processing. 161. 107987–107987. 13 indexed citations
6.
Kiss, Adam K. & Dániel Bachrathy. (2021). DYNAMIC CHARACTERIZATION OF MILLING BASED ON INTERRUPTED FEED MOTION. MM Science Journal. 2021(5). 5142–5147. 2 indexed citations
7.
Bachrathy, Dániel, et al.. (2021). Why is it hard to identify the onset of chatter? A stochastic resonance perspective. CIRP Annals. 70(1). 329–332. 5 indexed citations
8.
Bachrathy, Dániel, et al.. (2020). In-Process Monitoring of Changing Dynamics of a Thin-Walled Component During Milling Operation by Ball Shooter Excitation. Journal of Manufacturing and Materials Processing. 4(3). 78–78. 10 indexed citations
9.
Sadeghpour, Mehdi, et al.. (2020). On the moment dynamics of stochastically delayed linear control systems. International Journal of Robust and Nonlinear Control. 30(18). 8074–8097. 14 indexed citations
10.
Bachrathy, Dániel, et al.. (2020). Stochastic modeling of the cutting force in turning processes. The International Journal of Advanced Manufacturing Technology. 111(1-2). 213–226. 15 indexed citations
11.
Bachrathy, Dániel, et al.. (2020). Stochastic semidiscretization method: Second moment stability analysis of linear stochastic periodic dynamical systems with delays. Applied Mathematical Modelling. 88. 933–950. 6 indexed citations
12.
Kiss, Adam K., Dániel Bachrathy, & Gábor Stépàn. (2018). Laser scanned patterns of machined surfaces. Procedia CIRP. 77. 355–358. 6 indexed citations
13.
Kossa, Attila, et al.. (2018). Numerical and experimental investigation of the applicability of pellet impacts for impulse excitation. International Journal of Impact Engineering. 115. 19–31. 10 indexed citations
14.
Otto, A., Günter Radons, Dániel Bachrathy, & Gábor Orosz. (2018). Synchronization in networks with heterogeneous coupling delays. Physical review. E. 97(1). 12311–12311. 23 indexed citations
15.
Bachrathy, Dániel, et al.. (2018). Hardware-in-the-loop experiment of turning. Procedia CIRP. 77. 675–678. 6 indexed citations
16.
Molnár, Tamás G., Dániel Bachrathy, Tamás Insperger, & Gábor Stépàn. (2018). On process damping induced by vibration-dependency of cutting direction in milling. Procedia CIRP. 77. 171–174. 6 indexed citations
17.
Hajdu, Dávid, Tamás Insperger, Dániel Bachrathy, & Gábor Stépàn. (2017). Prediction of robust stability boundaries for milling operations with extended multi-frequency solution and structured singular values. Journal of Manufacturing Processes. 30. 281–289. 21 indexed citations
18.
Kiss, Adam K., Dániel Bachrathy, & Gábor Stépàn. (2016). Surface Error and Stability Chart of Beam-Type Workpiece in Milling Processes. 5 indexed citations
19.
Bachrathy, Dániel & Gábor Stépàn. (2013). Improved prediction of stability lobes with extended multi frequency solution. CIRP Annals. 62(1). 411–414. 79 indexed citations
20.
Denkena, Berend, Max Krüger, Dániel Bachrathy, & Gábor Stépàn. (2011). Model based reconstruction of milled surface topography from measured cutting forces. International Journal of Machine Tools and Manufacture. 54-55. 25–33. 41 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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