Dagmar Krefting

2.0k total citations
105 papers, 1.0k citations indexed

About

Dagmar Krefting is a scholar working on Information Systems and Management, Computer Networks and Communications and Cognitive Neuroscience. According to data from OpenAlex, Dagmar Krefting has authored 105 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Information Systems and Management, 24 papers in Computer Networks and Communications and 18 papers in Cognitive Neuroscience. Recurrent topics in Dagmar Krefting's work include Scientific Computing and Data Management (27 papers), Distributed and Parallel Computing Systems (16 papers) and Functional Brain Connectivity Studies (9 papers). Dagmar Krefting is often cited by papers focused on Scientific Computing and Data Management (27 papers), Distributed and Parallel Computing Systems (16 papers) and Functional Brain Connectivity Studies (9 papers). Dagmar Krefting collaborates with scholars based in Germany, Netherlands and United Kingdom. Dagmar Krefting's co-authors include Werner Lauterborn, Robert Mettin, Ingolf Sack, Jürgen Braun, Kaspar‐Josche Streitberger, Friedemann Paul, Jens Wuerfel, Thomas Tolxdorff, Thomas Penzel and Andreas Hoheisel and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Dagmar Krefting

92 papers receiving 1.0k citations

Peers

Dagmar Krefting

RNMI

CNC

ISM

Jonathan Whiteley United Kingdom

Yuki Muraoka Japan

Thomas Tolxdorff Germany

Norberto Malpica Spain

Usha Sinha United States

Chris P. Bradley New Zealand

Carole Lartizien France

Mark Burgess United States

Seiji Takagi Japan

Patrick Maier Germany

Jonathan Whiteley United Kingdom

Dagmar Krefting

269 ×0.7

61 ×0.2

RNMI

19 ×0.1

39 ×0.2

CNC

32 ×0.3

ISM

Citations per year, relative to Dagmar Krefting Dagmar Krefting (= 1×) peers Jonathan Whiteley

Countries citing papers authored by Dagmar Krefting

Since Specialization

Citations

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

Fields of papers citing papers by Dagmar Krefting

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dagmar Krefting

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

Bavendiek, Udo, M. Anton Ertl, Christian Hametner, et al.. (2025). Improving the interface for information transfer in acute stroke care: a mixed-methods process evaluation of the emergency use case within the CAEHR project. BMJ Open. 15(11). e105332–e105332.

Schmitt, Jochen, Peter Ihle, Olaf Schoffer, et al.. (2024). Datennutzung für eine bessere Gesundheitsversorgung–Plädoyer für eine kooperative Forschungsdatenplattform der gesetzlichen und privaten Krankenversicherung und dem Netzwerk Universitätsmedizin (NUM). Das Gesundheitswesen. 87(S 02). S279–S288.

Krefting, Dagmar, et al.. (2024). TDSpy: An open-source implementation of time delay stability analysis. SoftwareX. 27. 101890–101890.

Krefting, Dagmar, Udo Bavendiek, Joachim E. Fischer, et al.. (2024). Die digitalen Fortschrittshubs Gesundheit – Gemeinsame Datennutzung über die Universitätsmedizin hinaus. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz. 67(6). 701–709. 3 indexed citations

Semler, Sebastian C., Martin Boeker, Roland Eils, et al.. (2024). Die Medizininformatik-Initiative im Überblick – Aufbau einer Gesundheitsforschungsdateninfrastruktur in Deutschland. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz. 67(6). 616–628. 3 indexed citations

Frahm, Niklas, David Ellenberger, Alexander Stahmann, et al.. (2024). Treatment switches of disease-modifying therapies in people with multiple sclerosis: long-term experience from the German MS Registry. Therapeutic Advances in Neurological Disorders. 17. 4233520828–4233520828. 3 indexed citations

Carretero, Jesús & Dagmar Krefting. (2023). Cluster and cloud computing for life sciences. Future Generation Computer Systems. 152. 254–256. 2 indexed citations

Martin, Tamara J., et al.. (2023). Local Data Quality Assessments on EHR-Based Real-World Data for Rare Diseases. Studies in health technology and informatics. 302. 292–296. 1 indexed citations

Dathe, Henning, et al.. (2023). Quantifying Alterations over Time in ST-segment/T-wave Amplitudes During Elective Percutaneous Coronary Intervention. Computing in cardiology. 1 indexed citations

10.

Bartschke, Alexander, Christoph Dieterich, Tim Johann, et al.. (2023). Insights into the FAIRness of the German Network University Medicine: A Survey. Studies in health technology and informatics. 302. 741–742. 1 indexed citations

11.

Krefting, Dagmar, et al.. (2023). Towards a Consistent Representation of Contradictions Within Health Data for Efficient Implementation of Data Quality Assessments. Studies in health technology and informatics. 302. 302–306.

12.

Dathe, Henning, Dagmar Krefting, & Nicolai Spicher. (2023). Completing the Cabrera Circle: deriving adaptable leads from ECG limb leads by combining constraints with a correction factor. Physiological Measurement. 44(10). 105005–105005. 1 indexed citations

13.

Hauswaldt, Johannes, et al.. (2023). How to Make Outpatient Healthcare Data in Germany Available for Research in the Dynamic Course of Digital Transformation. Studies in health technology and informatics. 307. 12–21. 4 indexed citations

14.

Krefting, Dagmar, Michael Arzt, Joachim T. Maurer, et al.. (2023). Sleep apnea healthcare management in dynamically changing times. Somnologie - Schlafforschung und Schlafmedizin. 27(4). 248–254. 1 indexed citations

15.

Krefting, Dagmar, et al.. (2023). Information Technology Systems for Infection Control in German University Hospitals—Results of a Structured Survey a Year into the Severe Acute Respiratory Syndrome Coronavirus 2 Pandemic. Methods of Information in Medicine. 62(S 01). e57–e62. 2 indexed citations

16.

Frahm, Niklas, David Ellenberger, Peter Flachenecker, et al.. (2022). Therapy Switches in Fingolimod-Treated Patients with Multiple Sclerosis: Long-Term Experience from the German MS Registry. Neurology and Therapy. 11(1). 319–336. 3 indexed citations

17.

Oliveira, Marcela Tuler de, et al.. (2021). Cryptography on Untrustworthy Cloud Storage for Healthcare Applications: A Performance Analysis. Pure Amsterdam UMC. 1–8. 2 indexed citations

18.

Sack, Ingolf, Kaspar‐Josche Streitberger, Dagmar Krefting, Friedemann Paul, & Jürgen Braun. (2011). The Influence of Physiological Aging and Atrophy on Brain Viscoelastic Properties in Humans. PLoS ONE. 6(9). e23451–e23451. 151 indexed citations

19.

Schnapauff, Dirk, et al.. (2010). Automatic Liver Segmentation in Contrast-enhanced MRI.. 405–409. 3 indexed citations

20.

Mettin, Robert, Werner Lauterborn, & Dagmar Krefting. (2006). MODELING ACOUSTIC CAVITATION WITH BUBBLE REDISTRIBUTION. 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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