Stefan Gottschalk

29 total papers · 1.0k total citations
22 papers, 771 citations indexed

About

Stefan Gottschalk is a scholar working on Neurology, Pulmonary and Respiratory Medicine and Computer Vision and Pattern Recognition. According to data from OpenAlex, Stefan Gottschalk has authored 22 papers receiving a total of 771 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Neurology, 4 papers in Pulmonary and Respiratory Medicine and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Stefan Gottschalk's work include Robotic Path Planning Algorithms (3 papers), Glioma Diagnosis and Treatment (3 papers) and Cerebrovascular and Carotid Artery Diseases (3 papers). Stefan Gottschalk is often cited by papers focused on Robotic Path Planning Algorithms (3 papers), Glioma Diagnosis and Treatment (3 papers) and Cerebrovascular and Carotid Artery Diseases (3 papers). Stefan Gottschalk collaborates with scholars based in Germany, United States and Italy. Stefan Gottschalk's co-authors include Dinesh Manocha, Ming C. Lin, Chenfeng Li, Thomas C. Hudson, Jonathan Cohen, Alf Giese, John F. Hughes, Christoph Koch, Robert P. Bennett and Ronald Azuma and has published in prestigious journals such as Movement Disorders, Journal of the Neurological Sciences and American Journal of Neuroradiology.

In The Last Decade

Stefan Gottschalk

22 papers receiving 700 citations

Author Peers

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

Author						Papers	Cites
Stefan Gottschalk	274	152	120	117	106	22	771
Jérémie Allard	286 1.0×	11 0.1×	51 0.4×	55 0.5×	90 0.8×	31	789
Atsushi Nishikawa	205 0.7×	92 0.6×	54 0.5×	89 0.8×	52 0.5×	103	686
Felix Ritter	318 1.2×	27 0.2×	34 0.3×	60 0.5×	16 0.2×	30	623
Cinzia Freschi	231 0.8×	33 0.2×	37 0.3×	51 0.4×	45 0.4×	18	642
Sung-Jung Cho	175 0.6×	94 0.6×	19 0.2×	262 2.2×	28 0.3×	35	686
Stephen D. Laycock	179 0.7×	12 0.1×	21 0.2×	107 0.9×	142 1.3×	58	892
Subhashis Banerjee	409 1.5×	37 0.2×	139 1.2×	122 1.0×	18 0.2×	54	659
Suguna Pappu	470 1.7×	53 0.3×	318 2.6×	9 0.1×	14 0.1×	31	848
Haytham Elhawary	207 0.8×	31 0.2×	132 1.1×	8 0.1×	59 0.6×	23	709
Anna Hilsmann	282 1.0×	12 0.1×	55 0.5×	30 0.3×	9 0.1×	93	622

Countries citing papers authored by Stefan Gottschalk

Since Specialization

Citations

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

Fields of papers citing papers by Stefan Gottschalk

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefan Gottschalk

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