Alexander Hapfelmeier

8.9k citations
255 papers · 5.4k indexed · h-index 40

Alexander Hapfelmeier

243 papers receiving 5.3k citations

Peers

Alexander Hapfelmeier
Comparison fields: 5 of 190
  • Critical Care and Intensive Care Medicine 215
  • Surgery 1.8k
  • Cardiology and Cardiovascular Medicine 891
  • Neurology 380
  • Pulmonary and Respiratory Medicine 759
Replace Dong Ki Kim with:
Dong Ki Kim South Korea
Valentin Rousson Switzerland
Andrea Berghold Austria
Chao Zhang China
Xian‐Tao Zeng China
Iztok Hozo United States
Francesco Sardanelli Italy
James S. Hodges United States
Tim Ramsay Canada
Massimo Midiri Italy
Alexander Hapfelmeier relative to Dong Ki Kim South Korea Dong Ki Kim's profile →
Citations per field
00.5×1.6×
Dong Ki Kim · 1×
Citations per year

Countries citing papers authored by Alexander Hapfelmeier

Since Specialization
Citations

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

Fields of papers citing papers by Alexander Hapfelmeier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20240
4 20241
5 20240
6 20230
7 20223
8 20225
9 20224
10 202110
11 20214
12 20217
13 20194
14 20191
15 20196
16 20196
17 201812
18 20185
19 20173
20 20146

About Alexander Hapfelmeier

Alexander Hapfelmeier is a scholar working on Family Practice, Cardiology and Cardiovascular Medicine, Surgery, Critical Care and Intensive Care Medicine and Statistics and Probability, having authored 255 papers that have together received 5.4k indexed citations. Recurring topics across this work include Hemodynamic Monitoring and Therapy (25 papers), Non-Invasive Vital Sign Monitoring (18 papers), Gastric Cancer Management and Outcomes (14 papers), Cardiac, Anesthesia and Surgical Outcomes (12 papers), Blood Pressure and Hypertension Studies (11 papers), Statistical Methods and Inference (10 papers), Asthma and respiratory diseases (9 papers) and Multiple Sclerosis Research Studies (9 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (215 citations), Surgery (1.8k citations), Cardiology and Cardiovascular Medicine (891 citations), Neurology (380 citations) and Pulmonary and Respiratory Medicine (759 citations). Alexander Hapfelmeier has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Kurt Ulm, Bernd Saugel, Torsten Hothorn, Wolfgang Huber, Roland M. Schmid, Gisela Keller, Rupert Langer, Agnes S. Meidert, Gerhard Schneider and Carolin Strobl. Their work appears in journals such as PLoS ONE, Journal of Clinical Monitoring and Computing, British Journal of Anaesthesia, Scientific Reports and Computational Statistics & Data Analysis.

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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