Stefan Schwab

4.0k citations
96 papers · 2.2k indexed · 1 hit paper · h-index 25

Stefan Schwab

91 papers receiving 2.2k citations

Hit Papers

Recommendations for the Management of Cerebral and Cerebe...3222014202620182022100200300

Peers

Stefan Schwab
Comparison fields: 5 of 139
  • Neurology 873
  • Critical Care and Intensive Care Medicine 154
  • Epidemiology 780
  • Microbiology 100
  • Neurology 128
Replace Laurie Gutmann with:
Laurie Gutmann United States
Vishal Bansal United States
David Robertson United States
R. Kay Hong Kong
Todd W. Costantini United States
Manish Modi India
Mikael Bodelsson Sweden
Shunji Kasaoka Japan
Hüseyin Per Türkiye
Shawn G. Rhind Canada
Stefan Schwab relative to Laurie Gutmann United States Laurie Gutmann's profile →
Citations per field
00.5×1.5×1.9×
Laurie Gutmann · 1×
Citations per year

Countries citing papers authored by Stefan Schwab

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Schwab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20213
3 20205
4 20193
5 20176
6 201385
7 20126
8 201036
9 201015
10 200912
11 200874
12 200729
13 20077
14 200641
15 200412
16 200158
17 199917
18 19990
19 19974
20 199625

About Stefan Schwab

Stefan Schwab is a scholar working on Neurology, Horticulture and Critical Care and Intensive Care Medicine, having authored 96 papers that have together received 2.2k indexed citations. Recurring topics across this work include Traumatic Brain Injury and Neurovascular Disturbances (18 papers), Plant-Microbe Interactions and Immunity (15 papers), Acute Ischemic Stroke Management (12 papers), Intracerebral and Subarachnoid Hemorrhage Research (7 papers), Biofuel production and bioconversion (7 papers), Cerebrovascular and Carotid Artery Diseases (6 papers), Intracranial Aneurysms: Treatment and Complications (6 papers) and Plant tissue culture and regeneration (6 papers). The work is most often cited by research in Neurology (873 citations), Critical Care and Intensive Care Medicine (154 citations) and Epidemiology (780 citations). Stefan Schwab has collaborated with scholars based in Germany, Brazil and United States. Frequent co-authors include Stefan Schwarz, Arnd Doerfler, Werner Hacke, José Ivo Baldani, Dimitrios Georgiadis, Bob S. Carter, David M. Greer, Peter D. Schellinger, W. Taylor Kimberly and Kevin N. Sheth. Their work appears in journals such as SHILAP Revista de lepidopterología, NeuroImage and Neurology.

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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