Ute von Jan

999 total citations
48 papers, 618 citations indexed

About

Ute von Jan is a scholar working on General Health Professions, Applied Psychology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ute von Jan has authored 48 papers receiving a total of 618 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in General Health Professions, 15 papers in Applied Psychology and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ute von Jan's work include Mobile Health and mHealth Applications (29 papers), Digital Mental Health Interventions (13 papers) and Health Literacy and Information Accessibility (7 papers). Ute von Jan is often cited by papers focused on Mobile Health and mHealth Applications (29 papers), Digital Mental Health Interventions (13 papers) and Health Literacy and Information Accessibility (7 papers). Ute von Jan collaborates with scholars based in Germany and United States. Ute von Jan's co-authors include Urs‐Vito Albrecht, Marianne Behrends, Kristian Folta-Schoofs, Ulrike Raap, H Matthies, Martin Lacher, Michael Klintschar, Max Ettinger, Oliver J. Muensterer and Joachim F. Kuebler and has published in prestigious journals such as Journal of Medical Internet Research, BMC Musculoskeletal Disorders and JMIR mhealth and uhealth.

In The Last Decade

Ute von Jan

42 papers receiving 598 citations

Peers

Ute von Jan

GHP

CVPR

PHEOH

SURGE

Errol Ozdalga United States

Richard Harte Ireland

Norina Gasteiger United Kingdom

Charoula Konstantia Nikolaou United Kingdom

Andrew Bastawrous United Kingdom

Mary Dankbaar Netherlands

A. Gauthier United Kingdom

Elvis Camacho United States

Grace Shin United States

Jennifer M. Radin United States

Errol Ozdalga United States

Ute von Jan

349 ×1.2

GHP

79 ×0.6

35 ×0.3

CVPR

126 ×1.3

PHEOH

38 ×0.4

SURGE

Citations per year, relative to Ute von Jan Ute von Jan (= 1×) peers Errol Ozdalga

Countries citing papers authored by Ute von Jan

Since Specialization

Citations

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

Fields of papers citing papers by Ute von Jan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ute von Jan. 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 Ute von Jan. The network helps show where Ute von Jan may publish in the future.

Co-authorship network of co-authors of Ute von Jan

This figure shows the co-authorship network connecting the top 25 collaborators of Ute von Jan. A scholar is included among the top collaborators of Ute von Jan 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 Ute von Jan. Ute von Jan 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

Jan, Ute von, et al.. (2024). Enhancing the Value of the BfArM’s DiGA Directory: Strategies for Improved Usability and Stakeholder Satisfaction. Studies in health technology and informatics. 316. 320–324. 1 indexed citations

Albrecht, Urs‐Vito, et al.. (2023). Evidence of Digital Health Applications from a State-Regulated Repository for Reimbursable Health Applications in Germany. Studies in health technology and informatics. 302. 423–427. 2 indexed citations

Pustozerov, Evgenii, et al.. (2023). Medical Apps for Android and iOS: Differences and Similarities. Studies in health technology and informatics. 302. 370–371. 1 indexed citations

Dittrich, F, et al.. (2023). Digital health applications from a government-regulated directory of reimbursable health apps in Germany—a systematic review for evidence and bias. mHealth. 9. 35–35. 6 indexed citations

Pustozerov, Evgenii, Ute von Jan, & Urs‐Vito Albrecht. (2023). COVID-19 Mobile Apps Trends Derived from Long-Term Google Play Analysis. Studies in health technology and informatics. 305. 141–142. 1 indexed citations

Jan, Ute von, et al.. (2022). Exploring the weight bias of professionals working in the field of obesity with a mobile IAT: a pilot study. Therapeutic Advances in Endocrinology and Metabolism. 13. 2435468161–2435468161. 2 indexed citations

Jan, Ute von, et al.. (2022). Prioritization of Quality Principles for Health Apps Using the Kano Model: Survey Study. JMIR mhealth and uhealth. 10(1). e26563–e26563. 9 indexed citations

Jan, Ute von, et al.. (2022). Implementation of Mobile Psychological Testing on Smart Devices: Evaluation of a ResearchKit-Based Design Approach for the Implicit Association Test. Frontiers in Digital Health. 4. 785591–785591. 3 indexed citations

Junge, Sibylle, Christian Dopfer, Annette Sauer‐Heilborn, et al.. (2019). Assessment of a Mobile App by Adolescents and Young Adults With Cystic Fibrosis: Pilot Evaluation. JMIR mhealth and uhealth. 7(11). e12442–e12442. 19 indexed citations

10.

Albrecht, Urs‐Vito, Theodor Framke, & Ute von Jan. (2019). Quality Awareness and Its Influence on the Evaluation of App Meta-Information by Physicians: Validation Study. JMIR mhealth and uhealth. 7(11). e16442–e16442. 10 indexed citations

11.

Albrecht, Urs‐Vito, et al.. (2019). Quality Principles of App Description Texts and Their Significance in Deciding to Use Health Apps as Assessed by Medical Students: Survey Study. JMIR mhealth and uhealth. 7(2). e13375–e13375. 16 indexed citations

12.

Albrecht, Urs‐Vito, et al.. (2018). Relevance of Trust Marks and CE Labels in German-Language Store Descriptions of Health Apps: Analysis. JMIR mhealth and uhealth. 6(4). e10394–e10394. 27 indexed citations

13.

Albrecht, Urs‐Vito, Gerd Hasenfuß, & Ute von Jan. (2018). Description of Cardiological Apps From the German App Store: Semiautomated Retrospective App Store Analysis. JMIR mhealth and uhealth. 6(11). e11753–e11753. 14 indexed citations

14.

Jan, Ute von, et al.. (2017). Mobile Augmented Reality as a Feature for Self-Oriented, Blended Learning in Medicine: Randomized Controlled Trial. JMIR mhealth and uhealth. 5(9). e139–e139. 50 indexed citations

15.

Albrecht, Urs‐Vito, Ute von Jan, Joachim F. Kuebler, et al.. (2014). Google Glass for Documentation of Medical Findings: Evaluation in Forensic Medicine. Journal of Medical Internet Research. 16(2). e53–e53. 73 indexed citations

16.

Albrecht, Urs‐Vito, et al.. (2013). Standardized, App-Based Disinfection of iPads in a Clinical and Nonclinical Setting: Comparative Analysis. Journal of Medical Internet Research. 15(8). e176–e176. 31 indexed citations

17.

Albrecht, Urs‐Vito, Marianne Behrends, H Matthies, & Ute von Jan. (2013). Usage of Multilingual Mobile Translation Applications in Clinical Settings. JMIR mhealth and uhealth. 1(1). e4–e4. 39 indexed citations

18.

Jan, Ute von, et al.. (2012). Sehen, Fühlen, Erfahren - Rechtsmedizin mit mARble® erleben. PUB – Publications at Bielefeld University (Bielefeld University). 241–246. 1 indexed citations

19.

David, Sascha, Ute von Jan, Philipp Kümpers, Hermann Haller, & Joon-Keun Park. (2012). Quantification of experimental acute kidney injury by computer-assisted imaging of lectin phytohemagglutinin E. Journal of Nephrology. 26(2). 385–388. 2 indexed citations

20.

Jan, Ute von, et al.. (2002). INTERACTIVE PC-BASED VOLUME RENDERING OF CT DATASETS. Biomedizinische Technik/Biomedical Engineering. 47(s1b). 615–618.

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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