Patrick Haas

575 citations
28 papers · 340 · h-index 8

Impact in

Papers in

    • Moyamoya disease diagnosis and treatment 11
    • Intracranial Aneurysms: Treatment and Complications 10

Patrick Haas

23 papers receiving 327 citations

Peers

Patrick Haas
Comparison fields: 5 of 55
  • Pulmonary and Respiratory Medicine 241
  • Internal Medicine 26
  • Cardiology and Cardiovascular Medicine 119
  • Emergency Medical Services 33
  • Rheumatology 44
Replace Alvaro Zaccaria with:
Alvaro Zaccaria Italy
Ebru Düşünceli Atman Türkiye
Stylianos Koutsias Greece
Jean‐François De Wispelaere Belgium
Berat Acu Türkiye
Ammad A. Baig United States
Matthew F. Lawson United States
İlkay Akmangit Türkiye
Gabriele Ciuti Italy
Özhan Göldeli Türkiye
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Citations per field
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Citations per year

Countries citing papers authored by Patrick Haas

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Haas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Patrick Haas, 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 Patrick Haas Line = papers co-authored together Patrick Haas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999125
2 1999112
3 201920
4 199613
5 199012
6 20219
7 20198
8 20188
9 20216
10 20004
11 20243
12 20243
13
COMPUTATION OF HYDRODYNAMIC LOADS ON A BOTTOM-MOUNTED SURFACE PIERCING CYLINDER
19952
14 20082
15 20212
16 20242
17 20212
18 20242
19 20211
20 20241

About Patrick Haas

Patrick Haas is a scholar working on Rheumatology, Neurology, Pulmonary and Respiratory Medicine, Psychiatry and Mental health and Radiology, Nuclear Medicine and Imaging, having authored 28 papers that have together received 340 indexed citations. Recurring topics across this work include Moyamoya disease diagnosis and treatment (11 papers), Intracranial Aneurysms: Treatment and Complications (10 papers), Neurological Complications and Syndromes (6 papers), Cerebrovascular and Carotid Artery Diseases (4 papers), Advanced MRI Techniques and Applications (3 papers), Vascular Procedures and Complications (3 papers), Aortic Disease and Treatment Approaches (3 papers) and Diversity and Career in Medicine (2 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (241 citations), Internal Medicine (26 citations), Cardiology and Cardiovascular Medicine (119 citations), Emergency Medical Services (33 citations) and Rheumatology (44 citations). Patrick Haas has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Zvonimir Krajcer, Edward B. Diethrich, P. J. Zandbergen, Constantin Roder, Marcos Tatagiba, Ulrike Ernemann, Pudur Jagadeeswaran, Nadia Khan, Monika Milian and Philipp T. Meyer. Their work appears in journals such as Neurosurgical Review, Neurosurgery, Journal of Endovascular Therapy, BMC Medical Education and 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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