Daniel Maleike

10 total papers · 608 total citations
6 papers, 462 citations indexed

About

Daniel Maleike is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Daniel Maleike has authored 6 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 3 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Biomedical Engineering. Recurrent topics in Daniel Maleike's work include Medical Image Segmentation Techniques (4 papers), Medical Imaging Techniques and Applications (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Daniel Maleike is often cited by papers focused on Medical Image Segmentation Techniques (4 papers), Medical Imaging Techniques and Applications (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Daniel Maleike collaborates with scholars based in Germany. Daniel Maleike's co-authors include Ivo Wolf, Marco Nolden, Alfred M. Franz, Hans-Peter Meinzer, Lena Maier‐Hein, Michael Müller, Klaus Maier‐Hein, Hans Peter Meinzer, Sascha Zelzer and Matthias Baumhauer and has published in prestigious journals such as Physics in Medicine and Biology, Computer Methods and Programs in Biomedicine and International Journal of Computer Assisted Radiology and Surgery.

In The Last Decade

Daniel Maleike

6 papers receiving 457 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Daniel Maleike 249 120 105 83 79 6 462
Sascha Zelzer 264 1.1× 132 1.1× 99 0.9× 74 0.9× 55 0.7× 12 477
Martin Segeroth 309 1.2× 168 1.4× 77 0.7× 53 0.6× 68 0.9× 10 472
Thomas Böttger 214 0.9× 125 1.0× 61 0.6× 68 0.8× 128 1.6× 5 427
Xiangfei Chai 261 1.0× 117 1.0× 162 1.5× 90 1.1× 75 0.9× 19 528
Tobias Kunert 236 0.9× 134 1.1× 68 0.6× 70 0.8× 157 2.0× 13 483
Diana Wald 199 0.8× 118 1.0× 64 0.6× 101 1.2× 62 0.8× 9 522
Mateusz C. Florkow 239 1.0× 129 1.1× 45 0.4× 105 1.3× 54 0.7× 12 421
Mark Hastenteufel 231 0.9× 159 1.3× 66 0.6× 103 1.2× 166 2.1× 19 504
Ole Vegard Solberg 157 0.6× 167 1.4× 52 0.5× 141 1.7× 144 1.8× 16 416
Michael Schwier 221 0.9× 131 1.1× 60 0.6× 87 1.0× 130 1.6× 22 546

Countries citing papers authored by Daniel Maleike

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Maleike

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Maleike

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Maleike. A scholar is included among the top collaborators of Daniel Maleike 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 Daniel Maleike. Daniel Maleike is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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