Constantin Seibold

72 total papers · 676 total citations
22 papers, 241 citations indexed

About

Constantin Seibold is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Constantin Seibold has authored 22 papers receiving a total of 241 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Computer Vision and Pattern Recognition and 9 papers in Artificial Intelligence. Recurrent topics in Constantin Seibold's work include Radiomics and Machine Learning in Medical Imaging (8 papers), AI in cancer detection (5 papers) and Advanced Neural Network Applications (5 papers). Constantin Seibold is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (8 papers), AI in cancer detection (5 papers) and Advanced Neural Network Applications (5 papers). Constantin Seibold collaborates with scholars based in Germany, United States and Canada. Constantin Seibold's co-authors include Rainer Stiefelhagen, Jens Kleesiek, Alexander Freytag, Simon Reiß, Erik Rodner, Jens T. Siveke, Jan Egger, Julius Keyl, Selma Ugurel and Barbara T. Grünwald and has published in prestigious journals such as Radiology, Medical Image Analysis and European Radiology.

In The Last Decade

Constantin Seibold

16 papers receiving 238 citations

Hit Papers

CellViT: Vision Transform... 2024 2026 2024 25 50 75

Author Peers

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

Author Last Decade Papers Cites
Constantin Seibold 125 120 83 39 28 22 241
Abin Jose 107 0.9× 79 0.7× 88 1.1× 33 0.8× 15 0.5× 22 260
Ghulam Gilanie 117 0.9× 69 0.6× 105 1.3× 50 1.3× 21 0.8× 33 286
Chaoyu Chen 144 1.2× 116 1.0× 97 1.2× 36 0.9× 6 0.2× 18 328
Hongchun Lu 163 1.3× 119 1.0× 96 1.2× 37 0.9× 16 0.6× 13 298
Lourdes Durán-López 63 0.5× 157 1.3× 142 1.7× 37 0.9× 16 0.6× 23 280
Mostafa El Habib Daho 64 0.5× 118 1.0× 103 1.2× 26 0.7× 19 0.7× 33 272
Zhezhou Yu 154 1.2× 94 0.8× 60 0.7× 22 0.6× 12 0.4× 22 276
Jachih Fu 154 1.2× 103 0.9× 96 1.2× 40 1.0× 10 0.4× 24 321
Fanjie Kong 71 0.6× 157 1.3× 165 2.0× 25 0.6× 20 0.7× 14 294
Ho Hin Lee 82 0.7× 64 0.5× 104 1.3× 40 1.0× 8 0.3× 30 195

Countries citing papers authored by Constantin Seibold

Since Specialization
Citations

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

Fields of papers citing papers by Constantin Seibold

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Constantin Seibold

This figure shows the co-authorship network connecting the top 25 collaborators of Constantin Seibold. A scholar is included among the top collaborators of Constantin Seibold 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 Constantin Seibold. Constantin Seibold 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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