Eirik Årsand

4.5k total citations · 1 hit paper
116 papers, 3.0k citations indexed

About

Eirik Årsand is a scholar working on General Health Professions, Endocrinology, Diabetes and Metabolism and Applied Psychology. According to data from OpenAlex, Eirik Årsand has authored 116 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in General Health Professions, 53 papers in Endocrinology, Diabetes and Metabolism and 22 papers in Applied Psychology. Recurrent topics in Eirik Årsand's work include Mobile Health and mHealth Applications (79 papers), Diabetes Management and Research (42 papers) and Health Literacy and Information Accessibility (24 papers). Eirik Årsand is often cited by papers focused on Mobile Health and mHealth Applications (79 papers), Diabetes Management and Research (42 papers) and Health Literacy and Information Accessibility (24 papers). Eirik Årsand collaborates with scholars based in Norway, United States and Czechia. Eirik Årsand's co-authors include Gunnar Hartvigsen, Taridzo Chomutare, Luis Fernández-Luque, Naoe Tatara, Dag Helge Frøisland, Meghan Bradway, Elia Gabarrón, Lis Ribu, Stein Olav Skrøvseth and Milada Cvancarova Småstuen and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Medical Internet Research.

In The Last Decade

Eirik Årsand

106 papers receiving 2.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Data-driven modeling and prediction of blood glucose dynamics: Machine learning applications in type 1 diabetes

2019 209 citations Ashenafi Zebene Woldaregay, Eirik Årsand et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eirik Årsand Norway	29	1.9k	1.1k	561	362	282	116	3.0k
Gunnar Hartvigsen Norway	27	1.3k 0.7×	642 0.6×	388 0.7×	505 1.4×	409 1.5×	166	3.3k
Charlene C. Quinn United States	24	2.1k 1.1×	730 0.7×	556 1.0×	548 1.5×	158 0.6×	62	3.5k
Lena Mamykina United States	28	993 0.5×	439 0.4×	524 0.9×	264 0.7×	341 1.2×	82	3.2k
Calvin Kalun Or Hong Kong	26	1.2k 0.6×	221 0.2×	254 0.5×	388 1.1×	292 1.0×	91	2.8k
Robert H. Friedman United States	36	1.5k 0.8×	476 0.4×	520 0.9×	1.7k 4.8×	109 0.4×	107	5.5k
Nicol Nijland Netherlands	10	1.1k 0.6×	226 0.2×	450 0.8×	367 1.0×	144 0.5×	19	1.8k
Beverly B. Green United States	31	1.5k 0.8×	191 0.2×	269 0.5×	661 1.8×	178 0.6×	137	4.4k
Farhad Fatehi Australia	26	826 0.4×	182 0.2×	202 0.4×	549 1.5×	129 0.5×	106	2.2k
Emily Seto Canada	29	1.3k 0.7×	133 0.1×	430 0.8×	615 1.7×	132 0.5×	99	3.0k
Yoshimi Fukuoka United States	28	1.1k 0.6×	168 0.2×	519 0.9×	628 1.7×	50 0.2×	92	2.7k

Countries citing papers authored by Eirik Årsand

Since Specialization

Citations

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

Fields of papers citing papers by Eirik Årsand

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eirik Årsand. 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 Eirik Årsand. The network helps show where Eirik Årsand may publish in the future.

Co-authorship network of co-authors of Eirik Årsand

This figure shows the co-authorship network connecting the top 25 collaborators of Eirik Årsand. A scholar is included among the top collaborators of Eirik Årsand 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 Eirik Årsand. Eirik Årsand 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

Jensen, Annesofie Lunde, et al.. (2025). Exploring Clinicians’ and Patients’ Acceptance and Utilization of a Digital Solution to Support Individualized Care in Diabetes Specialist Outpatient Care (DigiDiaS): Qualitative Study. JMIR Human Factors. 12. e70301–e70301.

Fabelo, Himar, et al.. (2024). Characterizing the Impact of Physical Activity on Patients with Type 1 Diabetes Using Statistical and Machine Learning Models. Applied Sciences. 14(21). 9870–9870.

Gabarrón, Elia, et al.. (2024). Behavioral Intervention Functions in Type 2 Diabetes Apps: Literature Review. Journal of Diabetes Science and Technology. 19(5). 1183–1195.

Mužík, Jan, et al.. (2023). A Telemedicine System Intervention for Patients With Type 1 Diabetes: Pilot Feasibility Crossover Intervention Study. JMIR Formative Research. 7. e35064–e35064. 2 indexed citations

Gabarrón, Elia, et al.. (2020). Factors Engaging Users of Diabetes Social Media Channels on Facebook, Twitter, and Instagram: Observational Study. Journal of Medical Internet Research. 22(9). e21204–e21204. 29 indexed citations

Bradway, Meghan, et al.. (2020). How mHealth can facilitate collaboration in diabetes care: qualitative analysis of co-design workshops. BMC Health Services Research. 20(1). 1104–1104. 18 indexed citations

Årsand, Eirik, et al.. (2020). Methods and Evaluation Criteria for Apps and Digital Interventions for Diabetes Self-Management: Systematic Review. Journal of Medical Internet Research. 22(7). e18480–e18480. 41 indexed citations

Bradway, Meghan, Elia Gabarrón, Monika Alise Johansen, et al.. (2020). Methods and Measures Used to Evaluate Patient-Operated Mobile Health Interventions: Scoping Literature Review. JMIR mhealth and uhealth. 8(4). e16814–e16814. 29 indexed citations

Hansen, Anne Helen, Tor Claudi, & Eirik Årsand. (2019). Associations Between the Use of eHealth and Out-of-Hours Services in People With Type 1 Diabetes: Cross-Sectional Study. Journal of Medical Internet Research. 21(3). e13465–e13465. 4 indexed citations

10.

Årsand, Eirik, Ashenafi Zebene Woldaregay, Meghan Bradway, et al.. (2019). Design and Prestudy Assessment of a Dashboard for Presenting Self-Collected Health Data of Patients With Diabetes to Clinicians: Iterative Approach and Qualitative Case Study. JMIR Diabetes. 4(3). e14002–e14002. 16 indexed citations

11.

Hansen, Anne Helen, Tor Claudi, & Eirik Årsand. (2019). Use of Electronic Health and Its Impact on Doctor-Visiting Decisions Among People With Diabetes: Cross-Sectional Study. Journal of Medical Internet Research. 21(4). e13678–e13678. 7 indexed citations

12.

Bradway, Meghan, Ragnar M. Joakimsen, Anne Helen Hansen, et al.. (2019). Measuring the Effects of Sharing Mobile Health Data During Diabetes Consultations: Protocol for a Mixed Method Study. SHILAP Revista de lepidopterología. 9(2). e16657–e16657. 7 indexed citations

13.

Georgsson, Mattias, Nancy Staggers, Eirik Årsand, & André Kushniruk. (2019). Employing a user-centered cognitive walkthrough to evaluate a mHealth diabetes self-management application: A case study and beginning method validation. Journal of Biomedical Informatics. 91. 103110–103110. 36 indexed citations

14.

Woldaregay, Ashenafi Zebene, Eirik Årsand, Taxiarchis Botsis, et al.. (2019). Data-Driven Blood Glucose Pattern Classification and Anomalies Detection: Machine-Learning Applications in Type 1 Diabetes. Journal of Medical Internet Research. 21(5). e11030–e11030. 114 indexed citations

15.

Hansen, Anne Helen, Meghan Bradway, Jan Brož, et al.. (2019). Inequalities in the Use of eHealth Between Socioeconomic Groups Among Patients With Type 1 and Type 2 Diabetes: Cross-Sectional Study. Journal of Medical Internet Research. 21(5). e13615–e13615. 26 indexed citations

16.

Hansen, Anne Helen, Jan Brož, Tor Claudi, & Eirik Årsand. (2018). Relations Between the Use of Electronic Health and the Use of General Practitioner and Somatic Specialist Visits in Patients With Type 1 Diabetes: Cross-Sectional Study. Journal of Medical Internet Research. 20(11). e11322–e11322. 17 indexed citations

17.

Gabarrón, Elia, Meghan Bradway, Luis Fernández-Luque, et al.. (2018). Social media for health promotion in diabetes: study protocol for a participatory public health intervention design. BMC Health Services Research. 18(1). 414–414. 47 indexed citations

18.

Gabarrón, Elia, Enrique Dorronzoro, Meghan Bradway, et al.. (2018). Preferences and interests of diabetes social media users regarding a health-promotion intervention. Patient Preference and Adherence. Volume 12. 2499–2506. 14 indexed citations

19.

Bradway, Meghan, Gerit Pfuhl, Ragnar M. Joakimsen, et al.. (2018). Analysing mHealth usage logs in RCTs: Explaining participants’ interactions with type 2 diabetes self-management tools. PLoS ONE. 13(8). e0203202–e0203202. 18 indexed citations

20.

Hansen, Anne Helen, Meghan Bradway, Jan Brož, et al.. (2016). The Use of eHealth and Provider-Based Health Services by Patients with Diabetes Mellitus: Protocol for a Cross-Sectional Study. JMIR Research Protocols. 5(4). e207–e207. 5 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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