Dagmar Kainmueller

92 total papers · 3.0k total citations
27 papers, 333 citations indexed

About

Dagmar Kainmueller is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Dagmar Kainmueller has authored 27 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 7 papers in Biomedical Engineering. Recurrent topics in Dagmar Kainmueller's work include Medical Imaging and Analysis (7 papers), Cell Image Analysis Techniques (5 papers) and AI in cancer detection (5 papers). Dagmar Kainmueller is often cited by papers focused on Medical Imaging and Analysis (7 papers), Cell Image Analysis Techniques (5 papers) and AI in cancer detection (5 papers). Dagmar Kainmueller collaborates with scholars based in Germany, United States and France. Dagmar Kainmueller's co-authors include Stefan Zachow, Hans Lamecker, Hans‐Christian Hege, Heiko Seim, Markus O. Heller, Max Zinser, Florian Jug, Carsten Rother, Eugene W. Myers and Gene Myers and has published in prestigious journals such as Nature Biotechnology, Development and Scientific Reports.

In The Last Decade

Dagmar Kainmueller

26 papers receiving 323 citations

Author Peers

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

Author						Papers	Cites
Dagmar Kainmueller	129	96	83	63	50	27	333
Jared Vicory	56 0.4×	91 0.9×	26 0.3×	30 0.5×	95 1.9×	31	311
S. Prohaska	67 0.5×	59 0.6×	23 0.3×	32 0.5×	40 0.8×	14	326
René Donner	122 0.9×	89 0.9×	112 1.3×	43 0.7×	53 1.1×	23	297
Tristan Whitmarsh	121 0.9×	57 0.6×	18 0.2×	144 2.3×	86 1.7×	25	380
Mìchael L. Rhodes	80 0.6×	140 1.5×	73 0.9×	37 0.6×	50 1.0×	27	344
Christophe Odet	129 1.0×	102 1.1×	26 0.3×	62 1.0×	139 2.8×	17	397
M. G. Roberts	224 1.7×	95 1.0×	153 1.8×	76 1.2×	47 0.9×	21	400
Frédéric Richard	31 0.2×	145 1.5×	26 0.3×	13 0.2×	70 1.4×	29	323
Ahmed El-Bialy	118 0.9×	53 0.6×	130 1.6×	17 0.3×	32 0.6×	38	396
Seth Billings	79 0.6×	121 1.3×	8 0.1×	53 0.8×	55 1.1×	19	364

Countries citing papers authored by Dagmar Kainmueller

Since Specialization

Citations

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

Fields of papers citing papers by Dagmar Kainmueller

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dagmar Kainmueller

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