Arthur Bertachi

566 citations
21 papers · 413 indexed · h-index 13

Arthur Bertachi

21 papers receiving 404 citations

Peers

Arthur Bertachi
Comparison fields: 5 of 47
  • Endocrinology, Diabetes and Metabolism 355
  • Health Information Management 74
  • Genetics 176
  • Surgery 178
  • Health Informatics 4
Replace Nicole Hobbs with:
Nicole Hobbs United States
Navid Resalat United States
Silvia Oviedo Spain
Jinyu Xie United States
Nichole S. Tyler United States
Peter Pesl United Kingdom
Mirko Messori Italy
Aikaterini Prountzou Greece
Marzia Cescon United States
Cynthia R. Marling United States
Arthur Bertachi relative to Nicole Hobbs United States Nicole Hobbs's profile →
Citations per field
00.5×1.5×
Nicole Hobbs · 1×
Citations per year

Countries citing papers authored by Arthur Bertachi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

The 13 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.

Border = papers with Arthur Bertachi Line = papers co-authored together Arthur Bertachi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202223
2 20213
3 202057
4 202013
5 202010
6 20191
7 20194
8 201924
9 201950
10 201918
11
Using Grammatical Evolution to Generate Short-term Blood Glucose Prediction Models.
201816
12
Prediction of Blood Glucose Levels And Nocturnal Hypoglycemia Using Physiological Models and Artificial Neural Networks.
201835
13 20188
14 201840
15 201813
16 20186
17 201838
18 201810
19 201728
20 20174

About Arthur Bertachi

Arthur Bertachi is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Surgery, Periodontics and Artificial Intelligence, having authored 21 papers that have together received 413 indexed citations. Recurring topics across this work include Diabetes Management and Research (18 papers), Pancreatic function and diabetes (13 papers), Diabetes and associated disorders (12 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Diabetes Treatment and Management (3 papers), Geochemistry and Geologic Mapping (3 papers), Computational Drug Discovery Methods (2 papers) and ECG Monitoring and Analysis (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (355 citations), Health Information Management (74 citations), Genetics (176 citations), Surgery (178 citations) and Health Informatics (4 citations). Arthur Bertachi has collaborated with scholars based in Brazil and Spain. Frequent co-authors include Josep Vehı́, Jorge Bondía, Iván Contreras, Marga Giménez, Ignacio Conget, Silvia Oviedo, Clara Viñals, Carmen Quirós, Ningsu Luo and Josep Antoni Martín Fernández. Their work appears in journals such as Sensors, Journal of Diabetes Science and Technology, Diabetes Technology & Therapeutics, IEEE Transactions on Control Systems Technology and IEEE Journal of Biomedical and Health Informatics.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026