Kai Scherer

69 papers receiving 1.1k citations

Peers

Kai Scherer
Comparison fields: 5 of 119
  • Radiation 436
  • Numerical Analysis 157
  • Structural Biology 34
  • Applied Mathematics 195
  • Statistics and Probability 98
Replace Frank Wübbeling with:
Frank Wübbeling Germany
Peter Binev United States
Stephen R. Becker United States
Touraj Nikazad Iran
Yuan Xu China
Vladimir V. Vasin Russia
Gershon Wolansky Israel
Kiyoshi Takeuchi Japan
Hongchun Wu China
Jani Tervo Finland
Kai Scherer relative to Frank Wübbeling Germany Frank Wübbeling's profile →
Citations per field
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Frank Wübbeling · 1×
Citations per year

Countries citing papers authored by Kai Scherer

Since Specialization
Citations

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

Fields of papers citing papers by Kai Scherer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013134
2 1977103
3 201784
4 201873
5 201768
6 198066
7 201659
8 197950
9 201446
10 201544
11 201541
12 196940
13 197237
14 201435
15 201535
16 201633
17 201322
18 196922
19 201619
20 198019

About Kai Scherer

Kai Scherer is a scholar working on Radiation, Numerical Analysis, Biomedical Engineering, Computational Mechanics and Statistics and Probability, having authored 80 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced X-ray Imaging Techniques (27 papers), Advanced X-ray and CT Imaging (16 papers), X-ray Spectroscopy and Fluorescence Analysis (10 papers), Advanced Numerical Analysis Techniques (10 papers), Approximation Theory and Sequence Spaces (6 papers), Digital Radiography and Breast Imaging (5 papers), Nuclear Physics and Applications (5 papers) and Algal biology and biofuel production (5 papers). The work is most often cited by research in Radiation (436 citations), Numerical Analysis (157 citations), Structural Biology (34 citations), Applied Mathematics (195 citations) and Statistics and Probability (98 citations). Kai Scherer has collaborated with scholars based in Germany, Slovakia and United Kingdom. Frequent co-authors include Paul Leo Butzer, Franz Pfeiffer, Ronald DeVore, Julia Herzen, Wolfgang Dahmen, Karin Hellerhoff, Susanne Grandl, Konstantin Willer, Richard Henry Friend and Ullrich Steiner. Their work appears in journals such as RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren, Journal of Approximation Theory, Scientific Reports, PLoS ONE and Lecture notes in mathematics.

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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