D. Liepsch

2.4k citations
77 papers · 1.9k · h-index 24

Impact in

Papers in

D. Liepsch

75 papers receiving 1.8k citations

Peers

D. Liepsch
Comparison fields: 5 of 94
  • Neurology 548
  • Fluid Flow and Transfer Processes 180
  • Cardiology and Cardiovascular Medicine 552
  • Pulmonary and Respiratory Medicine 561
  • Computational Mechanics 355
Replace Karl Perktold with:
Karl Perktold Austria
Robert F. Mabon United States
Michalis Xenos Greece
Ender A. Finol United States
Leonid Goubergrits Germany
Diego Gallo Italy
B. K. Bharadvaj United States
Nigel B. Wood United Kingdom
Shmuel Einav Israel
Philippe Reymond Switzerland
D. Liepsch relative to Karl Perktold Austria Karl Perktold's profile →
Citations per field
00.5×1.5×1.9×
Karl Perktold · 1×
Citations per year

Countries citing papers authored by D. Liepsch

Since Specialization
Citations

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

Fields of papers citing papers by D. Liepsch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside D. Liepsch, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with D. Liepsch Line = papers co-authored together D. Liepsch links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1986191
2 2000138
3 1986121
4 2002114
5 1984111
6 199691
7 198283
8 198772
9 198769
10 198855
11 198745
12 198644
13 198343
14 199142
15 199236
16 198936
17 201634
18 199933
19 198832
20
Flow dynamics for radiologists. II. Practical considerations in the live human.
199432

About D. Liepsch

D. Liepsch is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Neurology, Pulmonary and Respiratory Medicine and Biomedical Engineering, having authored 77 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cardiovascular Health and Disease Prevention (29 papers), Coronary Interventions and Diagnostics (23 papers), Intracranial Aneurysms: Treatment and Complications (18 papers), Cerebrovascular and Carotid Artery Diseases (12 papers), Fluid Dynamics and Turbulent Flows (8 papers), Vascular Malformations Diagnosis and Treatment (7 papers), Central Venous Catheters and Hemodialysis (5 papers) and Cardiac and Coronary Surgery Techniques (5 papers). The work is most often cited by research in Neurology (548 citations), Fluid Flow and Transfer Processes (180 citations), Cardiology and Cardiovascular Medicine (552 citations), Pulmonary and Respiratory Medicine (561 citations) and Computational Mechanics (355 citations). D. Liepsch has collaborated with scholars based in Germany, United States and Russia. Frequent co-authors include S. Moravec, Hans Jakob Steiger, Robert M. Nerem, M. J. Levesque, H.-J. Reulen, Karl Perktold, N. S. Vlachos, CW Kerber, Peter Boesiger and Gerhard Rappitsch. Their work appears in journals such as Journal of Biomechanics, Journal of Biomechanical Engineering, Acta Neurochirurgica, Journal of Endovascular Therapy and American Journal of Neuroradiology.

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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