Dániel Bachrathy

1.1k citations
62 papers · 921 · h-index 17

Impact in

Papers in

Dániel Bachrathy

60 papers receiving 899 citations

Peers

Dániel Bachrathy
Comparison fields: 5 of 64
  • Mechanical Engineering 709
  • Industrial and Manufacturing Engineering 186
  • Biomedical Engineering 522
  • Control and Systems Engineering 154
  • Statistics, Probability and Uncertainty 37
Replace Zoltán Dombóvári with:
Zoltán Dombóvári Hungary
Zhao Zhang China
Krzysztof Kęcik Poland
Jay F. Tu United States
Mikel Zatarain Spain
A. Hernández Spain
Jiao Li China
Dunant Halim China
Тае-Il Seo South Korea
Xingyu Zhao China
Dániel Bachrathy relative to Zoltán Dombóvári Hungary Zoltán Dombóvári's profile →
Citations per field
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Zoltán Dombóvári · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Dániel Bachrathy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dániel Bachrathy Line = papers co-authored together Dániel Bachrathy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201383
2 201278
3 200952
4 201448
5 201748
6 201744
7 201143
8 201938
9 201136
10 201823
11 201623
12 201922
13 201721
14 201919
15 202018
16 201917
17 201616
18 201816
19 201616
20 202015

About Dániel Bachrathy

Dániel Bachrathy is a scholar working on Mechanical Engineering, Biomedical Engineering, Control and Systems Engineering, Industrial and Manufacturing Engineering and Electrical and Electronic Engineering, having authored 62 papers that have together received 921 indexed citations. Recurring topics across this work include Advanced machining processes and optimization (48 papers), Advanced Surface Polishing Techniques (37 papers), Advanced Measurement and Metrology Techniques (20 papers), Manufacturing Process and Optimization (11 papers), Iterative Learning Control Systems (9 papers), Advanced Machining and Optimization Techniques (9 papers), Probabilistic and Robust Engineering Design (7 papers) and Engineering Technology and Methodologies (5 papers). The work is most often cited by research in Mechanical Engineering (709 citations), Industrial and Manufacturing Engineering (186 citations), Biomedical Engineering (522 citations), Control and Systems Engineering (154 citations) and Statistics, Probability and Uncertainty (37 citations). Dániel Bachrathy has collaborated with scholars based in Hungary, United States and China. Frequent co-authors include Gábor Stépàn, Adam K. Kiss, Tamás Insperger, Dávid Hajdu, Tamás G. Molnár, Gábor Orosz, Zoltán Dombóvári, Jànos Turi, Max Krüger and Jokin Muñoa. Their work appears in journals such as CIRP Annals, The International Journal of Advanced Manufacturing Technology, Journal of Manufacturing Processes, Nonlinear Dynamics and Mechanical Systems and Signal Processing.

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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