M. Elena Hernando

2.5k total citations
81 papers, 1.5k citations indexed

About

M. Elena Hernando is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and General Health Professions. According to data from OpenAlex, M. Elena Hernando has authored 81 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Endocrinology, Diabetes and Metabolism, 18 papers in Surgery and 15 papers in General Health Professions. Recurrent topics in M. Elena Hernando's work include Diabetes Management and Research (38 papers), Mobile Health and mHealth Applications (15 papers) and Pancreatic function and diabetes (15 papers). M. Elena Hernando is often cited by papers focused on Diabetes Management and Research (38 papers), Mobile Health and mHealth Applications (15 papers) and Pancreatic function and diabetes (15 papers). M. Elena Hernando collaborates with scholars based in Spain, France and Italy. M. Elena Hernando's co-authors include Enrique J. Gómez Aguilera, Mercedes Rigla, Gema García-Sáez, Alberto de Leiva, Belén Pons, Francisco del Pozo, Eulàlia Brugués, Claudio Cobelli, Rosa Corcoy and Andrea Facchinetti and has published in prestigious journals such as Diabetes Care, Diabetologia and Expert Systems with Applications.

In The Last Decade

M. Elena Hernando

74 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
M. Elena Hernando Spain	21	799	420	296	254	220	81	1.5k
Ole Hejlesen Denmark	26	843 1.1×	452 1.1×	293 1.0×	248 1.0×	272 1.2×	224	2.5k
Gema García-Sáez Spain	14	272 0.3×	199 0.5×	126 0.4×	131 0.5×	84 0.4×	35	650
Ashenafi Zebene Woldaregay Norway	10	276 0.3×	190 0.5×	125 0.4×	152 0.6×	110 0.5×	23	940
Roy Harper United Kingdom	15	275 0.3×	107 0.3×	67 0.2×	115 0.5×	64 0.3×	40	717
Eldon D. Lehmann United Kingdom	30	1.4k 1.7×	110 0.3×	612 2.1×	133 0.5×	343 1.6×	111	2.7k
Andrew Grant Canada	17	339 0.4×	73 0.2×	299 1.0×	108 0.4×	159 0.7×	67	1.2k
Martina Vettoretti Italy	19	1.1k 1.3×	68 0.2×	637 2.2×	162 0.6×	530 2.4×	60	1.7k
T M Hayes United Kingdom	26	850 1.1×	157 0.4×	406 1.4×	29 0.1×	256 1.2×	59	1.9k
Giordano Lanzola Italy	18	227 0.3×	169 0.4×	152 0.5×	146 0.6×	97 0.4×	55	862
Majed S. Al Yami Saudi Arabia	12	121 0.2×	104 0.2×	123 0.4×	176 0.7×	48 0.2×	53	1.8k

Countries citing papers authored by M. Elena Hernando

Since Specialization

Citations

This map shows the geographic impact of M. Elena Hernando'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 M. Elena Hernando with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Elena Hernando more than expected).

Fields of papers citing papers by M. Elena Hernando

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Elena Hernando. 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 M. Elena Hernando. The network helps show where M. Elena Hernando may publish in the future.

Co-authorship network of co-authors of M. Elena Hernando

This figure shows the co-authorship network connecting the top 25 collaborators of M. Elena Hernando. A scholar is included among the top collaborators of M. Elena Hernando 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 M. Elena Hernando. M. Elena Hernando is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Hernando, M. Elena, Junfeng Wang, Wim Goettsch, et al.. (2025). Prediction of glycaemic control and quality of life in people with type 2 diabetes using glucose‐lowering drugs with machine learning—The Maastricht study. Diabetes Obesity and Metabolism. 27(10). 5524–5537.

Navas‐Carretero, Santiago, Carlos J. González-Navarro, J. Alfredo Martínéz, et al.. (2024). Precision nutrition impact on metabolic health and quality of life in aging population after a 3-month intervention: A randomized intervention. The journal of nutrition health & aging. 28(7). 100289–100289. 6 indexed citations

García-Sáez, Gema, M. Elena Hernando, Junfeng Wang, et al.. (2024). Disease severity-based subgrouping of type 2 diabetes does not parallel differences in quality of life: the Maastricht Study. Diabetologia. 67(4). 690–702. 4 indexed citations

Wang, Junfeng, Gema García-Sáez, M. Elena Hernando, et al.. (2024). A literature review of quality assessment and applicability to HTA of risk prediction models of coronary heart disease in patients with diabetes. Diabetes Research and Clinical Practice. 209. 111574–111574. 1 indexed citations

Castañeda, Carlos E., et al.. (2023). Personalized asymmetric multiple PID to automatize the procedure of intravenous general anesthesia. Journal of Process Control. 128. 103019–103019.

Moreno‐Arribas, M. Victoria, Ana Ramı́rez de Molina, M. Elena Hernando, et al.. (2023). The mHealth ALIBIRD Platform: Supporting Cancer Patient Treatment and Follow-up. 189. 149–152. 1 indexed citations

Giorgi‐Pierfranceschi, Matteo, Manuel Monréal, Pierpaolo Di Micco, et al.. (2022). Prognostic Impact of Active Cigarette Smoking on Mortality in Patients with Acute Venous Thromboembolic Events, Findings from Real World Data. Medicina. 58(2). 295–295.

García-Sáez, Gema, et al.. (2020). Prediction of Cocaine Inpatient Treatment Success Using Machine Learning on High-Dimensional Heterogeneous Data. IEEE Access. 8. 218936–218953. 4 indexed citations

Castañeda, Carlos E., et al.. (2020). Method to generate a large cohort in-silico for type 1 diabetes. Computer Methods and Programs in Biomedicine. 193. 105523–105523. 3 indexed citations

10.

Rodríguez‐Alcalde, Daniel, et al.. (2020). Functional gastrointestinal disorders: real-life results of a multidisciplinary non-pharmacological approach based on group-consultations. Revista Española de Enfermedades Digestivas. 113(9). 627–634. 2 indexed citations

11.

Castañeda, Carlos E., et al.. (2018). Linear Time-Varying Luenberger Observer Applied to Diabetes. IEEE Access. 6. 23612–23625. 9 indexed citations

12.

García-Sáez, Gema, et al.. (2018). Decision Support in Diabetes Care: The Challenge of Supporting Patients in Their Daily Living Using a Mobile Glucose Predictor. Journal of Diabetes Science and Technology. 12(2). 243–250. 25 indexed citations

13.

García-Sáez, Gema, et al.. (2016). Automatic classification of glycaemia measurements to enhance data interpretation in an expert system for gestational diabetes. Expert Systems with Applications. 63. 386–396. 9 indexed citations

14.

Benito, Pedro J., M. Elena Hernando, & Fernando García-García. (2016). Automatic Identification of Physical Activity Intensity and Modality from the Fusion of Accelerometry and Heart Rate Data. Methods of Information in Medicine. 55(6). 533–544. 5 indexed citations

15.

Capel, Ismael, Mercedes Rigla, Gema García-Sáez, et al.. (2013). Artificial Pancreas Using a Personalized Rule-Based Controller Achieves Overnight Normoglycemia in Patients with Type 1 Diabetes. Diabetes Technology & Therapeutics. 16(3). 172–179. 23 indexed citations

16.

Martínez-Sarriegui, Iñaki, Fernando García-García, Gema García-Sáez, M. Elena Hernando, & G. Flucke. (2012). TRHIOS: Trust and reputation in hierarchical and quality-oriented societies. UPM Digital Archive (Technical University of Madrid). 1–4. 3 indexed citations

17.

Facchinetti, Andrea, Giovanni Sparacino, Claudio Cobelli, et al.. (2010). Artificial Neural Network Algorithm for Online Glucose Prediction from Continuous Glucose Monitoring. Diabetes Technology & Therapeutics. 12(1). 81–88. 230 indexed citations

18.

Boulos, Maged N. Kamel, Abdul Roudsari, Riccardo Bellazzi, et al.. (2006). A proposed semantic framework for diabetes education content management, customisation and delivery within the M2DM project. Computer Methods and Programs in Biomedicine. 83(3). 188–197. 18 indexed citations

19.

Hernando, M. Elena, Enrique J. Gómez Aguilera, Rosa Corcoy, & Francisco del Pozo. (2000). Evaluation of DIABNET, a decision support system for therapy planning in gestational diabetes. Computer Methods and Programs in Biomedicine. 62(3). 235–248. 28 indexed citations

20.

Aguilera, Enrique J. Gómez, Francisco del Pozo, & M. Elena Hernando. (1996). Telemedicine for diabetes care: The DIABTel approach towards diabetestelecare. Medical Informatics. 21(4). 283–295. 58 indexed citations

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.

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