Mátyás Andó
Impact in
- Automotive Engineering top 5%
- Additive Manufacturing and 3D Printing Technologies
- Brake Systems and Friction Analysis
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- Manufacturing Process and Optimization
Papers in
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- Lubricants and Their Additives 11
- Advanced machining processes and optimization 3
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- Manufacturing Process and Optimization 14
- Co-authors
- Jacob Sukumaran (19 shared papers)Patrick De Baets (13 shared papers)Patric Daniel Neis (7 shared papers)Ney Francisco Ferreira (4 shared papers)Sudhanraj Jeganmohan (2 shared papers)Jean Carlos Poletto (1 shared paper)Gábor Kalácska (5 shared papers)Márcia L. Baptista (1 shared paper)
In The Last Decade
Mátyás Andó
48 papers receiving 461 citations
Peers
Comparison fields: 5 of 68
- Automotive Engineering 263
- Industrial and Manufacturing Engineering 107
- Mechanics of Materials 179
- Mechanical Engineering 267
- Building and Construction 61
Countries citing papers authored by Mátyás Andó
This map shows the geographic impact of Mátyás Andó'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 Mátyás Andó with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mátyás Andó more than expected).
Fields of papers citing papers by Mátyás Andó
This network shows the impact of papers produced by Mátyás Andó. 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 Mátyás Andó. The network helps show where Mátyás Andó may publish in the future.
Co-authors
The 25 scholars most cited alongside Mátyás Andó, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 94 | |
| 2 | 2016 | 54 | |
| 3 | 2017 | 42 | |
| 4 | 2020 | 31 | |
| 5 | 2011 | 28 | |
| 6 | 2024 | 20 | |
| 7 | 2023 | 18 | |
| 8 | 2021 | 18 | |
| 9 | 2015 | 15 | |
| 10 | 2023 | 12 | |
| 11 | 2012 | 12 | |
| 12 | 2013 | 10 | |
| 13 | 2023 | 9 | |
| 14 | 2023 | 9 | |
| 15 | 2011 | 9 | |
| 16 | 2012 | 9 | |
| 17 | 2023 | 7 | |
| 18 | 2021 | 7 | |
| 19 | 2011 | 6 | |
| 20 | 2022 | 6 |
About Mátyás Andó
Mátyás Andó is a scholar working on Mechanical Engineering, Industrial and Manufacturing Engineering, Automotive Engineering, Mechanics of Materials and Polymers and Plastics, having authored 56 papers that have together received 494 indexed citations. Recurring topics across this work include Tribology and Wear Analysis (17 papers), Additive Manufacturing and 3D Printing Technologies (15 papers), Manufacturing Process and Optimization (14 papers), Lubricants and Their Additives (11 papers), Innovations in Concrete and Construction Materials (7 papers), Polymer Nanocomposites and Properties (7 papers), Mechanical stress and fatigue analysis (4 papers) and Advanced machining processes and optimization (3 papers). The work is most often cited by research in Automotive Engineering (263 citations), Industrial and Manufacturing Engineering (107 citations), Mechanics of Materials (179 citations), Mechanical Engineering (267 citations) and Building and Construction (61 citations). Mátyás Andó has collaborated with scholars based in Hungary, Belgium and Brazil. Frequent co-authors include Jacob Sukumaran, Patrick De Baets, Patric Daniel Neis, Ney Francisco Ferreira, Sudhanraj Jeganmohan, Jean Carlos Poletto, Gábor Kalácska, Márcia L. Baptista, János Abonyi and Tibor Czigány. Their work appears in journals such as Scientific Reports, Wear, Progress in Additive Manufacturing, Heliyon and Measurement.
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.