Alexander Hapfelmeier

9.1k citations
258 papers · 5.7k · h-index 41

Impact in

  • Surgery top 2%
    • Hemodynamic Monitoring and Therapy
    • Orthopedic Infections and Treatments
    • Orthopaedic implants and arthroplasty
    • Cardiac Valve Diseases and Treatments
    • Cardiac, Anesthesia and Surgical Outcomes

Papers in

Alexander Hapfelmeier

248 papers receiving 5.6k citations

Peers

Alexander Hapfelmeier
Comparison fields: 5 of 188
  • Surgery 1.4k
  • Cardiology and Cardiovascular Medicine 655
  • Critical Care and Intensive Care Medicine 135
  • Neurology 295
  • Pulmonary and Respiratory Medicine 537
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Citations per field
00.5×4.1×
Wenqian Wang · 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-authors

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

Showing the 20 most-cited of 258 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012203
2 2015161
3 2012156
4 2016144
5 2013132
6 2011115
7 2020100
8 201396
9 201895
10 201692
11 201980
12 201878
13 201177
14 201069
15 201067
16 201966
17 201166
18 201265
19 201065
20 201464

About Alexander Hapfelmeier

Alexander Hapfelmeier is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine, Oncology and Pathology and Forensic Medicine, having authored 258 papers that have together received 5.7k indexed citations. Recurring topics across this work include Hemodynamic Monitoring and Therapy (17 papers), Gastric Cancer Management and Outcomes (11 papers), Statistical Methods and Inference (10 papers), Multiple Sclerosis Research Studies (9 papers), Non-Invasive Vital Sign Monitoring (8 papers), Statistical Methods and Bayesian Inference (8 papers), Blood Pressure and Hypertension Studies (6 papers) and Bayesian Methods and Mixture Models (6 papers). The work is most often cited by research in Surgery (1.4k citations), Cardiology and Cardiovascular Medicine (655 citations), Critical Care and Intensive Care Medicine (135 citations), Neurology (295 citations) and Pulmonary and Respiratory Medicine (537 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, Roland M. Schmid, Wolfgang Huber, Gisela Keller, Agnes S. Meidert, Rupert Langer, Gerhard Schneider and Carolin Strobl. Their work appears in journals such as PLoS ONE, Journal of Clinical Monitoring and Computing, Scientific Reports, British Journal of Anaesthesia 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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