K. Beissner

503 citations
28 papers · 385 · h-index 10

Impact in

Papers in

K. Beissner

27 papers receiving 360 citations

Peers

K. Beissner
Comparison fields: 5 of 68
  • Statistics, Probability and Uncertainty 46
  • Mechanics of Materials 151
  • Radiology, Nuclear Medicine and Imaging 138
  • Critical Care and Intensive Care Medicine 30
  • Biomedical Engineering 244
Replace Paul M. Gammell with:
Paul M. Gammell United States
Sylvain Chatillon France
Joseph S. Heyman United States
Wansheng Nie China
N. Reinecke Germany
L. Zitelli United States
Tohru Mitani Japan
C. Zippe Germany
Seung-Hun Sung South Korea
Han-Taw Chen Taiwan
K. Beissner relative to Paul M. Gammell United States Paul M. Gammell's profile →
Citations per field
00.5×3.8×
Paul M. Gammell · 1×
Citations per year

Countries citing papers authored by K. Beissner

Since Specialization
Citations

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

Fields of papers citing papers by K. Beissner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside K. Beissner, 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 K. Beissner Line = papers co-authored together K. Beissner 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 198976
2 198238
3 200137
4 199929
5 199826
6 198423
7 200223
8 198419
9 199914
10 200213
11 19989
12 19869
13 20038
14 20127
15 20107
16 19957
17 20137
18 20066
19 20086
20 20106

About K. Beissner

K. Beissner is a scholar working on Biomedical Engineering, Mechanics of Materials, Radiology, Nuclear Medicine and Imaging, Statistics, Probability and Uncertainty and Critical Care and Intensive Care Medicine, having authored 28 papers that have together received 385 indexed citations. Recurring topics across this work include Ultrasonics and Acoustic Wave Propagation (11 papers), Ultrasound and Hyperthermia Applications (8 papers), Ultrasound Imaging and Elastography (7 papers), Flow Measurement and Analysis (6 papers), Acoustic Wave Phenomena Research (5 papers), Scientific Measurement and Uncertainty Evaluation (4 papers), Ultrasound in Clinical Applications (3 papers) and Hemodynamic Monitoring and Therapy (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (46 citations), Mechanics of Materials (151 citations), Radiology, Nuclear Medicine and Imaging (138 citations), Critical Care and Intensive Care Medicine (30 citations) and Biomedical Engineering (244 citations). K. Beissner has collaborated with scholars based in Germany, United Kingdom and Netherlands. Frequent co-authors include R.T. Hekkenberg, Bajram Zeqiri, Mark Hodnett, R.A. Bezemer, Sergey N. Makarov, Jacques Souquet, Kullervo Hynynen, G. M. Prout, Barry Ward and Stephen Collins. Their work appears in journals such as The Journal of the Acoustical Society of America, Metrologia, Ultrasound in Medicine & Biology, Applied Acoustics and European Journal of Ultrasound.

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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