Flemming Witt Udsen

715 total citations
30 papers, 479 citations indexed

About

Flemming Witt Udsen is a scholar working on General Health Professions, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, Flemming Witt Udsen has authored 30 papers receiving a total of 479 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in General Health Professions, 10 papers in Pulmonary and Respiratory Medicine and 10 papers in Epidemiology. Recurrent topics in Flemming Witt Udsen's work include Chronic Disease Management Strategies (10 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (9 papers) and Mobile Health and mHealth Applications (9 papers). Flemming Witt Udsen is often cited by papers focused on Chronic Disease Management Strategies (10 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (9 papers) and Mobile Health and mHealth Applications (9 papers). Flemming Witt Udsen collaborates with scholars based in Denmark, United Kingdom and Australia. Flemming Witt Udsen's co-authors include Ole Hejlesen, Lotte Groth Jensen, Claus Bossen, Lars Holger Ehlers, Simon Lebech Cichosz, Stine Hangaard, Peter Vestergaard, Thomas Kronborg, J. S. Andersen and Brendan McGrath and has published in prestigious journals such as BMC Public Health, BMJ Open and Nursing Research.

In The Last Decade

Flemming Witt Udsen

28 papers receiving 465 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Flemming Witt Udsen Denmark 12 181 97 97 83 58 30 479
Marilynne Hebert Canada 14 246 1.4× 135 1.4× 234 2.4× 54 0.7× 54 0.9× 26 727
Shariq Khoja Pakistan 14 477 2.6× 44 0.5× 216 2.2× 130 1.6× 87 1.5× 25 858
José Asua Spain 15 302 1.7× 45 0.5× 180 1.9× 47 0.6× 72 1.2× 21 684
Soumitra S. Bhuyan United States 14 391 2.2× 33 0.3× 121 1.2× 29 0.3× 44 0.8× 39 810
Estibalitz Orruño Spain 8 208 1.1× 32 0.3× 155 1.6× 41 0.5× 61 1.1× 8 492
Björn Bergh Germany 11 207 1.1× 45 0.5× 240 2.5× 184 2.2× 49 0.8× 64 636
Jack Bates United States 8 94 0.5× 27 0.3× 40 0.4× 61 0.7× 74 1.3× 13 491
Elizabeth C. Whipple United States 16 113 0.6× 33 0.3× 204 2.1× 21 0.3× 32 0.6× 39 589
Ursula Hübner Germany 12 204 1.1× 40 0.4× 171 1.8× 235 2.8× 34 0.6× 109 685
Herwig Ostermann Austria 12 135 0.7× 24 0.2× 78 0.8× 21 0.3× 147 2.5× 62 613

Countries citing papers authored by Flemming Witt Udsen

Since Specialization
Citations

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

Fields of papers citing papers by Flemming Witt Udsen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Flemming Witt Udsen. 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 Flemming Witt Udsen. The network helps show where Flemming Witt Udsen may publish in the future.

Co-authorship network of co-authors of Flemming Witt Udsen

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

All Works

20 of 20 papers shown
2.
Cichosz, Simon Lebech, et al.. (2025). Prediction of 14-day hospitalization risk in chronic heart failure patients, using interpretable machine learning methods. Health and Technology. 15(3). 515–522. 1 indexed citations
3.
Cichosz, Simon Lebech, et al.. (2024). Telemedicine as a tool for bridging geographical inequity: insights in geospatial interactions from a study on chronic heart failure patients. BMC Public Health. 24(1). 2953–2953. 2 indexed citations
4.
Udsen, Flemming Witt, et al.. (2024). The Effectiveness of Digital Health Lifestyle Interventions on Weight Loss in People With Prediabetes: A Systematic Review, Meta-Analysis, and Meta-Regression. Journal of Diabetes Science and Technology. 20(2). 419–435. 6 indexed citations
5.
Udsen, Flemming Witt, et al.. (2024). Evaluating the Usability of a Telehealth System for People with COPD: A Cross Sectional Study. Studies in health technology and informatics. 316. 454–458.
6.
Udsen, Flemming Witt, Kristine Færch, Morten Hasselstrøm Jensen, et al.. (2024). The Effectiveness of Digital Health Lifestyle Interventions on People With Prediabetes: Protocol for a Systematic Review, Meta-Analysis, and Meta-Regression. JMIR Research Protocols. 13. e50340–e50340. 1 indexed citations
7.
Hvidberg, Michael Falk, Karin Dam Petersen, Michael Davidsen, et al.. (2023). Catalog of EQ-5D-3L Health-Related Quality-of-Life Scores for 199 Chronic Conditions and Health Risks in Denmark. MDM Policy & Practice. 8(1). 107905775–107905775. 7 indexed citations
8.
Udsen, Flemming Witt, et al.. (2023). The impact of a respite volunteer ‘buddy’ programme on behavioural and psychological well‐being in young carers. Child & Family Social Work. 28(3). 734–752. 2 indexed citations
9.
Udsen, Flemming Witt, et al.. (2022). Effectiveness of Telemedicine in Managing Diabetes in Pregnancy: A Systematic Review and Meta-Analysis. Journal of Diabetes Science and Technology. 17(5). 1364–1375. 11 indexed citations
11.
Hangaard, Stine, J. S. Andersen, Thomas Kronborg, et al.. (2021). The Effectiveness of Telemedicine Solutions for the Management of Type 2 Diabetes: A Systematic Review, Meta-Analysis, and Meta-Regression. Journal of Diabetes Science and Technology. 17(3). 794–825. 32 indexed citations
12.
Hangaard, Stine, et al.. (2020). Telemedicine Interventions for the Management of Diabetes: A Systematic Review and Meta-Analysis. Studies in health technology and informatics. 270. 1403–1404. 1 indexed citations
13.
Cichosz, Simon Lebech, Flemming Witt Udsen, & Ole Hejlesen. (2019). The impact of telehealth care on health-related quality of life of patients with heart failure: Results from the Danish TeleCare North heart failure trial. Journal of Telemedicine and Telecare. 26(7-8). 452–461. 30 indexed citations
14.
Ehlers, Lars Holger, et al.. (2018). Cost Comparison of Single-Use Versus Reusable Bronchoscopes Used for Percutaneous Dilatational Tracheostomy. PharmacoEconomics - Open. 3(2). 189–195. 13 indexed citations
15.
Udsen, Flemming Witt & Ole Hejlesen. (2018). Predicting cost-effectiveness of telehealthcare to patients with COPD: A feasibility study based on data from the TeleCare North cluster-randomized trial. VBN Forskningsportal (Aalborg Universitet). 16–22. 1 indexed citations
18.
Udsen, Flemming Witt, et al.. (2017). Subgroup analysis of telehealthcare for patients with chronic obstructive pulmonary disease: the cluster-randomized Danish Telecare North Trial. ClinicoEconomics and Outcomes Research. Volume 9. 391–401. 15 indexed citations
20.
Bossen, Claus, Lotte Groth Jensen, & Flemming Witt Udsen. (2013). Evaluation of a comprehensive EHR based on the DeLone and McLean model for IS success: Approach, results, and success factors. International Journal of Medical Informatics. 82(10). 940–953. 130 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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