Mathias Kaspar

753 total citations
52 papers, 499 citations indexed

About

Mathias Kaspar is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Artificial Intelligence. According to data from OpenAlex, Mathias Kaspar has authored 52 papers receiving a total of 499 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cardiology and Cardiovascular Medicine, 13 papers in Pulmonary and Respiratory Medicine and 13 papers in Artificial Intelligence. Recurrent topics in Mathias Kaspar's work include Biomedical Text Mining and Ontologies (6 papers), Peripheral Artery Disease Management (6 papers) and Data Quality and Management (6 papers). Mathias Kaspar is often cited by papers focused on Biomedical Text Mining and Ontologies (6 papers), Peripheral Artery Disease Management (6 papers) and Data Quality and Management (6 papers). Mathias Kaspar collaborates with scholars based in Germany, United States and Switzerland. Mathias Kaspar's co-authors include Daniel Staub, Arend F. L. Schinkel, Stefan Störk, Georg Fette, Frank Puppe, Georg Dietrich, Lea K. Seidlmayer, M. Anton Ertl, Jonathan C. Silverstein and Sasan Partovi and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Cardiovascular Research.

In The Last Decade

Mathias Kaspar

51 papers receiving 492 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mathias Kaspar Germany 12 148 135 120 109 69 52 499
Elsie Ross United States 14 151 1.0× 148 1.1× 227 1.9× 92 0.8× 65 0.9× 41 657
Vineet K. Raghu United States 18 311 2.1× 248 1.8× 79 0.7× 171 1.6× 271 3.9× 43 1.1k
Ohad Oren United States 11 168 1.1× 68 0.5× 78 0.7× 103 0.9× 147 2.1× 31 638
Harshit Garg India 14 34 0.2× 109 0.8× 177 1.5× 120 1.1× 57 0.8× 52 689
Fanis Kalatzis Greece 12 187 1.3× 126 0.9× 269 2.2× 43 0.4× 144 2.1× 26 489
Anna Teresińska Poland 10 235 1.6× 70 0.5× 183 1.5× 97 0.9× 118 1.7× 32 431
Ai‐Hsien Li Taiwan 12 265 1.8× 69 0.5× 116 1.0× 56 0.5× 62 0.9× 48 526
Laura E. Mantella Canada 10 162 1.1× 168 1.2× 64 0.5× 59 0.5× 108 1.6× 30 415
Marco Alì Italy 15 134 0.9× 91 0.7× 83 0.7× 32 0.3× 260 3.8× 54 623
Robyn L. Ball United States 17 109 0.7× 139 1.0× 68 0.6× 146 1.3× 293 4.2× 41 867

Countries citing papers authored by Mathias Kaspar

Since Specialization
Citations

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

Fields of papers citing papers by Mathias Kaspar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mathias Kaspar

This figure shows the co-authorship network connecting the top 25 collaborators of Mathias Kaspar. A scholar is included among the top collaborators of Mathias Kaspar 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 Mathias Kaspar. Mathias Kaspar 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
1.
Sheikhalishahi, Seyedmostafa, Mathias Kaspar, Julia Sander, et al.. (2024). Predicting Successful Weaning from Mechanical Ventilation by Reduction in Positive End-expiratory Pressure Level Using Machine Learning. SHILAP Revista de lepidopterología. 3(3). e0000478–e0000478. 1 indexed citations
2.
Geisler, Benjamin P., et al.. (2024). Predicting Hypoxia Using Machine Learning: Systematic Review. JMIR Medical Informatics. 12. e50642–e50642. 3 indexed citations
3.
Sheikhalishahi, Seyedmostafa, et al.. (2024). Predicting blood transfusion demand in intensive care patients after surgery by comparative analysis of temporally extended data selection. BMC Medical Informatics and Decision Making. 24(1). 397–397. 2 indexed citations
4.
Kaspar, Mathias, Caroline Morbach, Georg Dietrich, et al.. (2022). Querying a Clinical Data Warehouse for Combinations of Clinical and Imaging Data. Journal of Digital Imaging. 36(2). 715–724. 1 indexed citations
5.
Kaspar, Mathias, Georg Fette, Monika Hanke, et al.. (2022). Automated provision of clinical routine data for a complex clinical follow-up study: A data warehouse solution. Health Informatics Journal. 28(1). 1187543457–1187543457. 3 indexed citations
6.
Kaspar, Mathias, M. Anton Ertl, Georg Fette, et al.. (2020). Unlocking the PACS DICOM Domain for its Use in Clinical Research Data Warehouses. Journal of Digital Imaging. 33(4). 1016–1025. 4 indexed citations
7.
Fette, Georg, et al.. (2019). Implementation of a HL7-CQL Engine Using the Graph Database Neo4J. Studies in health technology and informatics. 267. 46–51. 2 indexed citations
8.
Seidlmayer, Lea K., Paula-Anahi Arias-Loza, Mathias Kaspar, et al.. (2019). Mitofusin 2 Is Essential for IP3-Mediated SR/Mitochondria Metabolic Feedback in Ventricular Myocytes. Frontiers in Physiology. 10. 733–733. 34 indexed citations
9.
Kittel‐Schneider, Sarah, Mathias Kaspar, Dominik Berliner, et al.. (2018). CRP genetic variants are associated with mortality and depressive symptoms in chronic heart failure patients. Brain Behavior and Immunity. 71. 133–141. 10 indexed citations
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11.
Kaspar, Mathias, Georg Fette, Gülmisal Güder, et al.. (2018). Underestimated prevalence of heart failure in hospital inpatients: a comparison of ICD codes and discharge letter information. Clinical Research in Cardiology. 107(9). 778–787. 31 indexed citations
12.
Morbach, Caroline, Almuth Marx, Mathias Kaspar, et al.. (2017). Prognostic Potential of Midregional Pro-Adrenomedullin Following Decompensation for Systolic Heart Failure: Comparison with Cardiac Natriuretic Peptides. European Journal of Heart Failure. 19(9). 1166–1175. 26 indexed citations
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Ertl, M. Anton, Georg Fette, Georg Dietrich, et al.. (2016). Data Linkage from Clinical to Study Databases via an R Data Warehouse User Interface. Methods of Information in Medicine. 55(4). 381–386. 9 indexed citations
16.
Schinkel, Arend F. L., Mathias Kaspar, & Daniel Staub. (2015). Contrast-enhanced ultrasound: clinical applications in patients with atherosclerosis. International journal of cardiac imaging. 32(1). 35–48. 66 indexed citations
17.
Kaspar, Mathias, Sasan Partovi, Markus Aschwanden, et al.. (2015). Assessment of microcirculation by contrast-enhanced ultrasound: a new approach in vascular medicine. Swiss Medical Weekly. 144(5152). w14047–w14047. 29 indexed citations
18.
Sixt, Sebastian, Hans Krankenberg, Mathias Kaspar, et al.. (2013). Endovascular Treatment for Extensive Aortoiliac Artery Reconstruction: A Single-Center Experience Based on 1712 Interventions. Journal of Endovascular Therapy. 20(1). 64–73. 33 indexed citations
19.
Greutert, Helen, Mathias Kaspar, Zhihong Yang, et al.. (2006). Different Vascular Smooth Muscle Cell Apoptosis in the Human Internal Mammary Artery and the Saphenous Vein. Journal of Vascular Research. 43(4). 338–346. 19 indexed citations
20.
Kaspar, Mathias, et al.. (1997). Architectural exploration and optimization for counter based hardware address generation. 293–298. 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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