Rainer Stotzka

847 total citations
52 papers, 480 citations indexed

About

Rainer Stotzka is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Rainer Stotzka has authored 52 papers receiving a total of 480 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Radiology, Nuclear Medicine and Imaging, 16 papers in Computer Networks and Communications and 14 papers in Artificial Intelligence. Recurrent topics in Rainer Stotzka's work include Scientific Computing and Data Management (13 papers), Distributed and Parallel Computing Systems (11 papers) and Medical Imaging Techniques and Applications (10 papers). Rainer Stotzka is often cited by papers focused on Scientific Computing and Data Management (13 papers), Distributed and Parallel Computing Systems (11 papers) and Medical Imaging Techniques and Applications (10 papers). Rainer Stotzka collaborates with scholars based in Germany, United States and Slovakia. Rainer Stotzka's co-authors include H. Gemmeke, Nicole V. Ruiter, Tim Müller, W. A. Kaiser, Jürgen R. Reichenbach, Reinhard Männer, Peter H. Bartels, Deborah Thompson, Uwe Strähle and Ralf Mikut and has published in prestigious journals such as SHILAP Revista de lepidopterología, Acta Materialia and Scientific Reports.

In The Last Decade

Rainer Stotzka

45 papers receiving 455 citations

Peers

Rainer Stotzka
Comparison fields: 5 of 91
  • Radiology, Nuclear Medicine and Imaging 202
  • Biomedical Engineering 158
  • Artificial Intelligence 96
  • Computer Vision and Pattern Recognition 87
  • Molecular Biology 57
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N.A. Mouravliansky Greece
Dzhoshkun I. Shakir United Kingdom
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Sameena Pathan India
Robert Van Uitert United States
Tran Minh Quan South Korea
Steffen Oeltze Germany
Ravi Managuli United States
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Citations per field, relative to Rainer Stotzka
Rainer Stotzka · 1×
Citations per year, relative to Rainer Stotzka
Rainer Stotzka · 1×

Countries citing papers authored by Rainer Stotzka

Since Specialization
Citations

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

Fields of papers citing papers by Rainer Stotzka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rainer Stotzka

This figure shows the co-authorship network connecting the top 25 collaborators of Rainer Stotzka. A scholar is included among the top collaborators of Rainer Stotzka based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rainer Stotzka. Rainer Stotzka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 0
3 0
4 5
5 2
6 31
7 5
8 13
9 64
10 6
11 11
12 0
13 1
14 4
15
Ultrasound computer tomography for breast cancer diagnosis
4
16 2
17 20
18 4
19 4
20
A hybrid neural and statistical classifier system for histopathologic grading of prostatic lesions.
39

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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