Sebastian Mate

782 total citations
26 papers, 374 citations indexed

About

Sebastian Mate is a scholar working on Molecular Biology, Health Information Management and Artificial Intelligence. According to data from OpenAlex, Sebastian Mate has authored 26 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 10 papers in Health Information Management and 10 papers in Artificial Intelligence. Recurrent topics in Sebastian Mate's work include Biomedical Text Mining and Ontologies (15 papers), Electronic Health Records Systems (9 papers) and Data Quality and Management (8 papers). Sebastian Mate is often cited by papers focused on Biomedical Text Mining and Ontologies (15 papers), Electronic Health Records Systems (9 papers) and Data Quality and Management (8 papers). Sebastian Mate collaborates with scholars based in Germany, Switzerland and Finland. Sebastian Mate's co-authors include Hans‐Ulrich Prokosch, Thomas Ganslandt, Dennis Toddenroth, Thomas Bürkle, Felix Köpcke, Ulrich Sax, Lorenz A. Kapsner, Julian Gruendner, Christian Gülden and Marvin Kampf and has published in prestigious journals such as PLoS ONE, International Journal of Cancer and Journal of Biomedical Informatics.

In The Last Decade

Sebastian Mate

26 papers receiving 361 citations

Peers

Sebastian Mate

HIM

MSOR

PHEOH

Felix Köpcke Germany

José Alberto Maldonado Spain

David Moner Spain

Diego Boscá Spain

Dennis Toddenroth Germany

Catalina Martínez-Costa Spain

Martin Lablans Germany

Denise Warzel United States

Duane Bender Canada

Marcos Menárguez-Tortosa Spain

Felix Köpcke Germany

Sebastian Mate

171 ×1.1

174 ×1.2

HIM

130 ×1.0

39 ×0.4

MSOR

136 ×1.7

PHEOH

Citations per year, relative to Sebastian Mate Sebastian Mate (= 1×) peers Felix Köpcke

Countries citing papers authored by Sebastian Mate

Since Specialization

Citations

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

Fields of papers citing papers by Sebastian Mate

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sebastian Mate

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

Kapsner, Lorenz A., Agnes Hotz‐Wagenblatt, И. Н. Лебедев, et al.. (2021). BiasCorrector: Fast and accurate correction of all types of experimental biases in quantitative DNA methylation data derived by different technologies. International Journal of Cancer. 149(5). 1150–1165. 1 indexed citations

Gruendner, Julian, Christian Gülden, Marvin Kampf, et al.. (2021). A Framework for Criteria-Based Selection and Processing of Fast Healthcare Interoperability Resources (FHIR) Data for Statistical Analysis: Design and Implementation Study. JMIR Medical Informatics. 9(4). e25645–e25645. 19 indexed citations

Kapsner, Lorenz A., et al.. (2021). Patient Cohort Identification on Time Series Data Using the OMOP Common Data Model. Applied Clinical Informatics. 12(1). 57–64. 10 indexed citations

Kapsner, Lorenz A., et al.. (2021). Linking a Consortium-Wide Data Quality Assessment Tool with the MIRACUM Metadata Repository. Applied Clinical Informatics. 12(4). 826–835. 17 indexed citations

Toddenroth, Dennis, et al.. (2020). Mapping the Entire Record—An Alternative Approach to Data Access from Medical Logic Modules. Applied Clinical Informatics. 11(2). 342–349. 2 indexed citations

Gruendner, Julian, Christian Gülden, Lorenz A. Kapsner, et al.. (2019). KETOS: Clinical decision support and machine learning as a service – A training and deployment platform based on Docker, OMOP-CDM, and FHIR Web Services. PLoS ONE. 14(10). e0223010–e0223010. 39 indexed citations

Mate, Sebastian, Thomas Bürkle, Lorenz A. Kapsner, et al.. (2019). A method for the graphical modeling of relative temporal constraints. Journal of Biomedical Informatics. 100. 103314–103314. 10 indexed citations

Kapsner, Lorenz A., Marvin Kampf, Susanne A. Seuchter, et al.. (2019). Moving Towards an EHR Data Quality Framework: The MIRACUM Approach. Studies in health technology and informatics. 267. 247–253. 24 indexed citations

Mate, Sebastian, Marvin Kampf, Kaisa Silander, et al.. (2019). Pan-European Data Harmonization for Biobanks in ADOPT BBMRI-ERIC. Applied Clinical Informatics. 10(4). 679–692. 11 indexed citations

10.

Gülden, Christian, et al.. (2018). Investigating the Capabilities of FHIR Search for Clinical Trial Phenotyping. Studies in health technology and informatics. 253. 3–7. 11 indexed citations

11.

Mate, Sebastian, Raphael W. Majeed, Holger Storf, et al.. (2017). Proof-of-Concept Integration of Heterogeneous Biobank IT Infrastructures into a Hybrid Biobanking Network. Studies in health technology and informatics. 243. 100–104. 10 indexed citations

12.

Mate, Sebastian, et al.. (2017). On-The-Fly Query Translation Between i2b2 and Samply in the German Biobank Node (GBN) Prototypes. Studies in health technology and informatics. 243. 42–46. 3 indexed citations

13.

Mate, Sebastian, et al.. (2017). From a Content Delivery Portal to a Knowledge Management System for Standardized Cancer Documentation. Studies in health technology and informatics. 243. 180–184. 1 indexed citations

14.

Lablans, Martin, et al.. (2016). Strategien zur Vernetzung von Biobanken. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz. 59(3). 373–378. 9 indexed citations

15.

Löbe, Matthias, Sebastian Mate, Sebastian Stäubert, et al.. (2015). Integrated Data Repository Toolkit (IDRT). Methods of Information in Medicine. 55(2). 125–135. 26 indexed citations

16.

Mate, Sebastian, Felix Köpcke, Dennis Toddenroth, et al.. (2015). Ontology-Based Data Integration between Clinical and Research Systems. PLoS ONE. 10(1). e0116656–e0116656. 60 indexed citations

17.

Ganslandt, Thomas, Jan Christoph, Matthias Löbe, et al.. (2015). The Integrated Data Repository Toolkit (IDRT): accelerating translational research infrastructures. Europe PMC (PubMed Central). 5(Suppl 1). S6–S6. 10 indexed citations

18.

Ganslandt, Thomas, Ulrich Sax, Matthias Löbe, et al.. (2012). Integrated Data Repository Toolkit: Werkzeuge zur Nachnutzung medizinischer Daten für die Forschung.. GI-Jahrestagung. 1252–1259. 2 indexed citations

19.

Mate, Sebastian, et al.. (2011). Unlocking Data for Clinical Research – The German i2b2 Experience. Applied Clinical Informatics. 2(1). 116–117. 41 indexed citations

20.

Mate, Sebastian, Thomas Bürkle, Felix Köpcke, et al.. (2011). Populating the i2b2 Database with Heterogeneous Emr Data: a Semantic Network Approach. Studies in health technology and informatics. 169. 502–6. 11 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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