Volker Meyer

33 papers receiving 2.5k citations

Volker Meyer's Hit Papers

Man against machine: diagnostic performance of a deep learning convolutional neural network for dermoscopic melanoma recognition in comparison to 58 dermatologists 2018 · 1.1k citations
1.1k0+2+5Years since publication2505007501000

Peers

Volker Meyer
Comparison fields: 5 of 165
  • Health Informatics 158
  • Global and Planetary Change 1.1k
  • Water Science and Technology 350
  • Oncology 604
  • Artificial Intelligence 520
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Claus Rinner Canada
Kristiaan Nackaerts Belgium
Richard D. Hammer United States
Jihoon Park South Korea
Wenhui Wang China
Joachim Krois Germany
Mark A. Parsons United Kingdom
Emil Pitkin United States
Li‐Min Lin Taiwan
Chi‐Chung Chen Taiwan
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Countries citing papers authored by Volker Meyer

Since Specialization
Citations

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

Fields of papers citing papers by Volker Meyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Volker Meyer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Volker Meyer Line = papers co-authored together Volker Meyer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Man against machine: diagnostic performance of a deep learning convolutional neural network for dermoscopic melanoma recognition in comparison to 58 dermatologists
Hit paper breakdown →
20181126
2 2007348
3 2008325
4 2010186
5 2014105
6 200896
7 201186
8 201271
9 200843
10 201836
11 201426
12 201121
13 201117
14
Successful treatment of palmoplantar hyperkeratotic psoriasis with a combination of etanercept and alitretinoin.
201112
15
Evaluating flood damages: guidance and recommendations on principles and methods executive summary
200910
16 201710
17 20148
18 20255
19 20125
20 20185

About Volker Meyer

Volker Meyer is a scholar working on Global and Planetary Change, Dermatology, Civil and Structural Engineering, Rheumatology and Urology, having authored 37 papers that have together received 2.6k indexed citations. Recurring topics across this work include Flood Risk Assessment and Management (8 papers), Disaster Management and Resilience (4 papers), Water resources management and optimization (3 papers), Infrastructure Resilience and Vulnerability Analysis (3 papers), Autoimmune Bullous Skin Diseases (2 papers), Dermatology and Skin Diseases (2 papers), Dermatological diseases and infestations (2 papers) and Hair Growth and Disorders (2 papers). The work is most often cited by research in Health Informatics (158 citations), Global and Planetary Change (1.1k citations), Water Science and Technology (350 citations), Oncology (604 citations) and Artificial Intelligence (520 citations). Volker Meyer has collaborated with scholars based in Germany, Netherlands and United States. Frequent co-authors include Dagmar Haase, Sebastian Scheuer, Frank Messner, Christian Kuhlicke, Sally J. Priest, Tobias Goerge, Reimund Schwarze, Paolo Ciavola, Laurens M. Bouwer and Philip Bubeck. Their work appears in journals such as JDDG Journal der Deutschen Dermatologischen Gesellschaft, Natural Hazards, Integrated Environmental Assessment and Management, Cancer Research and Natural hazards and earth system sciences.

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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