Diego Galar
Impact in
- Medical Laboratory Technology top 0.5%
- Quality and Safety in Healthcare
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- Digital Transformation in Industry
Papers in
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- Machine Fault Diagnosis Techniques 34
- Fault Detection and Control Systems 19
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- Reliability and Maintenance Optimization 44
- Co-authors
- Uday Kumar (18 shared papers)Alberto Diez-Olivan (3 shared papers)Basilio Sierra (4 shared papers)Javier Del Ser (2 shared papers)Christer Stenström (15 shared papers)Aditya Parida (10 shared papers)Lorenzo Ciani (15 shared papers)Uday Kumar (10 shared papers)
In The Last Decade
Diego Galar
144 papers receiving 2.3k citations
Diego Galar's Hit Papers
Peers
Comparison fields: 5 of 122
- Medical Laboratory Technology 230
- Industrial and Manufacturing Engineering 499
- Safety, Risk, Reliability and Quality 444
- Management Information Systems 332
- Control and Systems Engineering 794
Countries citing papers authored by Diego Galar
This map shows the geographic impact of Diego Galar'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 Diego Galar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diego Galar more than expected).
Fields of papers citing papers by Diego Galar
This network shows the impact of papers produced by Diego Galar. 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 Diego Galar. The network helps show where Diego Galar may publish in the future.
Co-authors
The 25 scholars most cited alongside Diego Galar, 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 152 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Data fusion and machine learning for industrial prognosis: Trends and perspectives towards Industry 4.0 Hit paper breakdown → | 2018 | 431 |
| 2 | A novel approach of multisensory fusion to collaborative fault diagnosis in maintenance Hit paper breakdown → | 2021 | 244 |
| 3 | 2013 | 138 | |
| 4 | 2015 | 107 | |
| 5 | 2015 | 78 | |
| 6 | 2015 | 70 | |
| 7 | 2020 | 53 | |
| 8 | 2016 | 52 | |
| 9 | Maintenance Decision Making based on different types of data fusion | 2012 | 44 |
| 10 | 2017 | 42 | |
| 11 | 2019 | 37 | |
| 12 | 2017 | 37 | |
| 13 | 2017 | 35 | |
| 14 | 2018 | 33 | |
| 15 | 2020 | 33 | |
| 16 | 2012 | 30 | |
| 17 | 2012 | 30 | |
| 18 | 2014 | 30 | |
| 19 | 2016 | 30 | |
| 20 | 2021 | 29 |
About Diego Galar
Diego Galar is a scholar working on Control and Systems Engineering, Safety, Risk, Reliability and Quality, Mechanical Engineering, Industrial and Manufacturing Engineering and Medical Laboratory Technology, having authored 152 papers that have together received 2.5k indexed citations. Recurring topics across this work include Reliability and Maintenance Optimization (44 papers), Machine Fault Diagnosis Techniques (34 papers), Fault Detection and Control Systems (19 papers), Quality and Safety in Healthcare (19 papers), Life Cycle Costing Analysis (16 papers), Quality and Supply Management (11 papers), Risk and Safety Analysis (10 papers) and Railway Engineering and Dynamics (10 papers). The work is most often cited by research in Medical Laboratory Technology (230 citations), Industrial and Manufacturing Engineering (499 citations), Safety, Risk, Reliability and Quality (444 citations), Management Information Systems (332 citations) and Control and Systems Engineering (794 citations). Diego Galar has collaborated with scholars based in Sweden, Spain and Italy. Frequent co-authors include Uday Kumar, Alberto Diez-Olivan, Basilio Sierra, Javier Del Ser, Christer Stenström, Aditya Parida, Lorenzo Ciani, Uday Kumar, Marcantonio Catelani and Jing Lin. Their work appears in journals such as Journal of Quality in Maintenance Engineering, Insight - Non-Destructive Testing and Condition Monitoring, Eksploatacja i Niezawodnosc - Maintenance and Reliability, IEEE Access 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.