Arthur Bertachi
Impact in
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- Diabetes Management and Research
- Diabetes Treatment and Management
- Hyperglycemia and glycemic control in critically ill and hospitalized patients
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- Artificial Intelligence in Healthcare
Papers in
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- Diabetes Management and Research 18
- Diabetes Treatment and Management 3
- Genetics 9
- Diabetes and associated disorders 9
- Co-authors
- Josep Vehı́ (22 shared papers)Iván Contreras (7 shared papers)Jorge Bondía (11 shared papers)Ignacio Conget (10 shared papers)Marga Giménez (10 shared papers)Aleix Beneyto (7 shared papers)Silvia Oviedo (4 shared papers)Clara Viñals (5 shared papers)
In The Last Decade
Arthur Bertachi
21 papers receiving 424 citations
Peers
Comparison fields: 5 of 49
- Endocrinology, Diabetes and Metabolism 356
- Health Information Management 72
- Genetics 128
- Surgery 136
- Family Practice 4
Countries citing papers authored by Arthur Bertachi
This map shows the geographic impact of Arthur Bertachi'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 Arthur Bertachi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arthur Bertachi more than expected).
Fields of papers citing papers by Arthur Bertachi
This network shows the impact of papers produced by Arthur Bertachi. 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 Arthur Bertachi. The network helps show where Arthur Bertachi may publish in the future.
Co-authors
The 14 scholars most cited alongside Arthur Bertachi, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 61 | |
| 2 | 2019 | 55 | |
| 3 | 2018 | 40 | |
| 4 | 2018 | 40 | |
| 5 | Prediction of Blood Glucose Levels And Nocturnal Hypoglycemia Using Physiological Models and Artificial Neural Networks. | 2018 | 37 |
| 6 | 2017 | 30 | |
| 7 | 2019 | 26 | |
| 8 | 2022 | 23 | |
| 9 | 2019 | 19 | |
| 10 | Using Grammatical Evolution to Generate Short-term Blood Glucose Prediction Models. | 2018 | 17 |
| 11 | 2018 | 15 | |
| 12 | 2020 | 14 | |
| 13 | 2018 | 12 | |
| 14 | 2018 | 12 | |
| 15 | 2020 | 10 | |
| 16 | 2018 | 8 | |
| 17 | 2018 | 6 | |
| 18 | 2019 | 4 | |
| 19 | 2017 | 4 | |
| 20 | 2021 | 3 |
About Arthur Bertachi
Arthur Bertachi is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Surgery, Artificial Intelligence and Molecular Biology, having authored 22 papers that have together received 438 indexed citations. Recurring topics across this work include Diabetes Management and Research (18 papers), Diabetes and associated disorders (9 papers), Pancreatic function and diabetes (8 papers), Diabetes Treatment and Management (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Geochemistry and Geologic Mapping (3 papers), Computational Drug Discovery Methods (2 papers) and Cardiovascular and exercise physiology (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (356 citations), Health Information Management (72 citations), Genetics (128 citations), Surgery (136 citations) and Family Practice (4 citations). Arthur Bertachi has collaborated with scholars based in Brazil and Spain. Frequent co-authors include Josep Vehı́, Iván Contreras, Jorge Bondía, Ignacio Conget, Marga Giménez, Aleix Beneyto, Silvia Oviedo, Clara Viñals, Carmen Quirós and Ningsu Luo. Their work appears in journals such as Sensors, Computer Methods and Programs in Biomedicine, Journal of Diabetes Science and Technology, Biosensors and Diabetes Technology & Therapeutics.
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.