M. Elena Hernando

74 papers receiving 1.4k citations

Peers

M. Elena Hernando
Comparison fields: 5 of 123
  • Health Information Management 254
  • Endocrinology, Diabetes and Metabolism 799
  • Health Informatics 41
  • Obstetrics and Gynecology 132
  • General Health Professions 420
Replace Gema García-Sáez with:
Gema García-Sáez Spain
Ole Hejlesen Denmark
Martina Vettoretti Italy
Ashenafi Zebene Woldaregay Norway
Iván Contreras Spain
Roy Harper United Kingdom
Neil Munro United Kingdom
Christopher G. Parkin United States
Giordano Lanzola Italy
Eldon D. Lehmann United Kingdom
M. Elena Hernando relative to Gema García-Sáez Spain Gema García-Sáez's profile →
Citations per field
00.5×2.9×
Gema García-Sáez · 1×
Citations per year

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-authors

The 25 scholars most cited alongside M. Elena Hernando, 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 M. Elena Hernando Line = papers co-authored together M. Elena Hernando links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010230
2 2002124
3 2002103
4 201796
5 201578
6 201770
7 201762
8 199658
9 200845
10 201741
11 200435
12 200633
13 200831
14 200930
15 202029
16 200028
17 202026
18 201825
19 201424
20 201323

About M. Elena Hernando

M. Elena Hernando is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, General Health Professions, Genetics and Artificial Intelligence, having authored 81 papers that have together received 1.5k indexed citations. Recurring topics across this work include Diabetes Management and Research (38 papers), Mobile Health and mHealth Applications (15 papers), Pancreatic function and diabetes (15 papers), Diabetes and associated disorders (10 papers), Diabetes Management and Education (9 papers), Context-Aware Activity Recognition Systems (9 papers), Diabetes Treatment and Management (6 papers) and Telemedicine and Telehealth Implementation (5 papers). The work is most often cited by research in Health Information Management (254 citations), Endocrinology, Diabetes and Metabolism (799 citations), Health Informatics (41 citations), Obstetrics and Gynecology (132 citations) and General Health Professions (420 citations). M. Elena Hernando has collaborated with scholars based in Spain, France and Italy. Frequent 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 Giovanni Sparacino. Their work appears in journals such as Journal of Diabetes Science and Technology, Diabetes Technology & Therapeutics, Computer Methods and Programs in Biomedicine, Diabetes Research and Clinical Practice and International Journal of Medical 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.

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