Aitor Goti
Impact in
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- Digital Transformation in Industry
- Management Information Systems top 10%
- Quality and Supply Management
- Big Data and Business Intelligence
Papers in
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- Digital Transformation in Industry 5
- Industrial Vision Systems and Defect Detection 4
- Manufacturing Process and Optimization 4
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- Quality and Supply Management 4
- Co-authors
- Aitor Oyarbide-Zubillaga (14 shared papers)Elisabete Alberdi (18 shared papers)A.I. Sánchez (5 shared papers)Pablo G. Bringas (8 shared papers)Fernando Cortés (2 shared papers)José Gaviria de la Puerta (3 shared papers)Diego López–de–Ipiña (2 shared papers)Alberto de la Calle (4 shared papers)
In The Last Decade
Aitor Goti
41 papers receiving 402 citations
Peers
Comparison fields: 5 of 95
- Industrial and Manufacturing Engineering 131
- Management Information Systems 53
- Safety, Risk, Reliability and Quality 49
- Software 18
- Medical Laboratory Technology 7
Countries citing papers authored by Aitor Goti
This map shows the geographic impact of Aitor Goti'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 Aitor Goti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aitor Goti more than expected).
Fields of papers citing papers by Aitor Goti
This network shows the impact of papers produced by Aitor Goti. 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 Aitor Goti. The network helps show where Aitor Goti may publish in the future.
Co-authors
The 25 scholars most cited alongside Aitor Goti, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 99 | |
| 2 | 2020 | 41 | |
| 3 | 2021 | 38 | |
| 4 | 2008 | 38 | |
| 5 | 2020 | 23 | |
| 6 | 2010 | 18 | |
| 7 | 2022 | 18 | |
| 8 | 2021 | 15 | |
| 9 | 2023 | 15 | |
| 10 | 2023 | 13 | |
| 11 | 2017 | 10 | |
| 12 | 2023 | 9 | |
| 13 | 2018 | 9 | |
| 14 | 2021 | 9 | |
| 15 | 2021 | 8 | |
| 16 | 2020 | 5 | |
| 17 | Multi-equipment condition based maintenance optimization by multi- objective genetic algorithm | 2011 | 4 |
| 18 | 2024 | 4 | |
| 19 | 2011 | 4 | |
| 20 | 2019 | 4 |
About Aitor Goti
Aitor Goti is a scholar working on Industrial and Manufacturing Engineering, Management Information Systems, Mechanical Engineering, Strategy and Management and Safety, Risk, Reliability and Quality, having authored 48 papers that have together received 418 indexed citations. Recurring topics across this work include Reliability and Maintenance Optimization (6 papers), Digital Transformation in Industry (5 papers), Mineral Processing and Grinding (5 papers), Industrial Vision Systems and Defect Detection (4 papers), Quality and Safety in Healthcare (4 papers), Manufacturing Process and Optimization (4 papers), Soil Geostatistics and Mapping (4 papers) and Quality and Supply Management (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (131 citations), Management Information Systems (53 citations), Safety, Risk, Reliability and Quality (49 citations), Software (18 citations) and Medical Laboratory Technology (7 citations). Aitor Goti has collaborated with scholars based in Spain, Chile and India. Frequent co-authors include Aitor Oyarbide-Zubillaga, Elisabete Alberdi, A.I. Sánchez, Pablo G. Bringas, Fernando Cortés, José Gaviria de la Puerta, Diego López–de–Ipiña, Alberto de la Calle, Pedro R. D. Bom and R. Ibeas. Their work appears in journals such as Sustainability, Applied Sciences, DYNA, Environmental Sciences Europe and Buildings.
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.