Norman Uhlmann

91 total papers · 1.1k total citations
61 papers, 798 citations indexed

About

Norman Uhlmann is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Electrical and Electronic Engineering. According to data from OpenAlex, Norman Uhlmann has authored 61 papers receiving a total of 798 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Biomedical Engineering, 24 papers in Radiology, Nuclear Medicine and Imaging and 22 papers in Electrical and Electronic Engineering. Recurrent topics in Norman Uhlmann's work include Advanced X-ray and CT Imaging (25 papers), Medical Imaging Techniques and Applications (24 papers) and Silicon Carbide Semiconductor Technologies (16 papers). Norman Uhlmann is often cited by papers focused on Advanced X-ray and CT Imaging (25 papers), Medical Imaging Techniques and Applications (24 papers) and Silicon Carbide Semiconductor Technologies (16 papers). Norman Uhlmann collaborates with scholars based in Germany, France and United States. Norman Uhlmann's co-authors include Randolf Hanke, Theobald Fuchs, Stefan Gerth, Anja Eggert, Dagmar van Dusschoten, Ralf Metzner, Daniel Pflugfelder, Ulrich Schurr, Siegfried Jahnke and Peter J. Wellmann and has published in prestigious journals such as Physical Review Letters, Advanced Materials and Frontiers in Plant Science.

In The Last Decade

Norman Uhlmann

56 papers receiving 775 citations

Author Peers

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

Author						Papers	Cites
Norman Uhlmann	214	207	180	144	133	61	798
Bo Lin	147 0.7×	155 0.7×	99 0.6×	19 0.1×	24 0.2×	78	851
H. Chaves	127 0.6×	43 0.2×	128 0.7×	23 0.2×	18 0.1×	40	796
Yang Wang	276 1.3×	34 0.2×	260 1.4×	32 0.2×	28 0.2×	96	837
E. Dan Hirleman	267 1.2×	40 0.2×	124 0.7×	10 0.1×	21 0.2×	62	909
Hiroshi Honda	109 0.5×	62 0.3×	44 0.2×	57 0.4×	51 0.4×	93	930
M. Bettelli	278 1.3×	149 0.7×	396 2.2×	245 1.7×	52 0.4×	58	752
G. D. Danilatos	125 0.6×	23 0.1×	234 1.3×	100 0.7×	9 0.1×	54	982
Katarzyna Matusik	91 0.4×	28 0.1×	106 0.6×	46 0.3×	16 0.1×	47	711
Biao Deng	208 1.0×	8 0.0×	383 2.1×	222 1.5×	110 0.8×	102	1.0k
Benoît Recur	182 0.9×	16 0.1×	549 3.0×	63 0.4×	95 0.7×	36	782

Countries citing papers authored by Norman Uhlmann

Since Specialization

Citations

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

Fields of papers citing papers by Norman Uhlmann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Norman Uhlmann

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