Alberto Makino
- Mechanical Engineering top 10%
- Biomedical Engineering
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 10%
- Aerospace Engineering
- Co-authors
- Drew V. NelsonTim SchmidtD. R. WilliamsEric UddWhitten L. SchulzJohn M. SeimPeter GageEthiraj Venkatapathy
- Topics
- Advanced Surface Polishing Techniques (8 papers)Welding Techniques and Residual Stresses (8 papers)Advanced machining processes and optimization (6 papers)
- Journals
- Optics and Lasers in EngineeringExperimental MechanicsJournal of Engineering Materials and Technology
- Partner nations
- United States
In The Last Decade
Alberto Makino
17 papers receiving 355 citations
Peers
Comparison fields: 5 of 36
- Mechanical Engineering 206
- Biomedical Engineering 118
- Electrical and Electronic Engineering 79
- Computer Vision and Pattern Recognition 68
- Aerospace Engineering 67
Countries citing papers authored by Alberto Makino
This map shows the geographic impact of Alberto Makino'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 Alberto Makino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alberto Makino more than expected).
Fields of papers citing papers by Alberto Makino
This network shows the impact of papers produced by Alberto Makino. 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 Alberto Makino. The network helps show where Alberto Makino may publish in the future.
Co-authorship network of co-authors of Alberto Makino
This figure shows the co-authorship network connecting the top 25 collaborators of Alberto Makino. A scholar is included among the top collaborators of Alberto Makino 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 Alberto Makino. Alberto Makino is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 67 | |
| 7 | 57 | |
| 8 | 37 | |
| 9 | 7 | |
| 10 | 8 | |
| 11 | 6 | |
| 12 | 20 | |
| 13 | 30 | |
| 14 | 20 | |
| 15 | 76 | |
| 16 | Measurement of Residual Stresses Using the Holographic Hole Drilling Technique. | 2 |
| 17 | 34 |
About Alberto Makino
Alberto Makino is a scholar working on Applied Mathematics, Mechanical Engineering and Astronomy and Astrophysics, having authored 17 papers that have together received 377 indexed citations. Recurring topics across this work include Advanced Surface Polishing Techniques (8 papers), Welding Techniques and Residual Stresses (8 papers) and Advanced machining processes and optimization (6 papers). The work is most often cited by research in Mechanical Engineering (206 citations), Applied Mathematics (36 citations) and Computer Vision and Pattern Recognition (68 citations). Alberto Makino has collaborated with scholars based in United States. Frequent co-authors include Drew V. Nelson, Tim Schmidt, D. R. Williams, Eric Udd, Whitten L. Schulz, John M. Seim, Peter Gage, Ethiraj Venkatapathy, David Kinney and Dinesh Prabhu. Their work appears in journals such as Optics and Lasers in Engineering, Experimental Mechanics and Journal of Engineering Materials and Technology.
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.