W Zaunbauer

108 total papers · 578 total citations
44 papers, 400 citations indexed

About

W Zaunbauer is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, W Zaunbauer has authored 44 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Surgery, 14 papers in Pulmonary and Respiratory Medicine and 9 papers in Oncology. Recurrent topics in W Zaunbauer's work include Radiomics and Machine Learning in Medical Imaging (4 papers), Pancreatic and Hepatic Oncology Research (3 papers) and Head and Neck Surgical Oncology (3 papers). W Zaunbauer is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (4 papers), Pancreatic and Hepatic Oncology Research (3 papers) and Head and Neck Surgical Oncology (3 papers). W Zaunbauer collaborates with scholars based in Switzerland. W Zaunbauer's co-authors include H Bürgi, Thérèse Lemarchand-Béraud, C Wimpfheimer, Albert Burger, H Rösler, W. A. Fuchs, Irène Gottlob, M. Haertel, Christophe Valmaggia and B. Weder and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, American Journal of Ophthalmology and Human Brain Mapping.

In The Last Decade

W Zaunbauer

38 papers receiving 363 citations

Author Peers

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

Author						Papers	Cites
W Zaunbauer	128	114	85	79	45	44	400
Abedallatif AlSharif	71 0.6×	145 1.3×	75 0.9×	81 1.0×	25 0.6×	27	399
Tadashi Higuchi	106 0.8×	145 1.3×	108 1.3×	31 0.4×	23 0.5×	35	384
Peeyush Bhargava	57 0.4×	139 1.2×	113 1.3×	67 0.8×	34 0.8×	51	431
Keiko Kinuya	94 0.7×	168 1.5×	67 0.8×	43 0.5×	62 1.4×	32	386
Shunsuke Kobayashi	49 0.4×	115 1.0×	111 1.3×	111 1.4×	48 1.1×	63	358
Hedieh Moradi Tabriz	67 0.5×	97 0.9×	46 0.5×	44 0.6×	20 0.4×	42	341
Narendra Nair	80 0.6×	110 1.0×	157 1.8×	53 0.7×	33 0.7×	33	363
Alessandra Brofferio	90 0.7×	173 1.5×	60 0.7×	34 0.4×	25 0.6×	28	391
Eugenio De Carlo	178 1.4×	127 1.1×	39 0.5×	60 0.8×	52 1.2×	41	444
T Horne	59 0.5×	137 1.2×	53 0.6×	31 0.4×	68 1.5×	29	403

Countries citing papers authored by W Zaunbauer

Since Specialization

Citations

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

Fields of papers citing papers by W Zaunbauer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of W Zaunbauer

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