Ferdinand Toberer

4.8k citations
120 papers · 2.3k · 1 hit paper · h-index 14

Impact in

    • Artificial Intelligence in Healthcare and Education
  • Oncology top 2%
    • Cutaneous Melanoma Detection and Management

Papers in

    • Cutaneous lymphoproliferative disorders research 16
    • Cancer and Skin Lesions 9
    • Cutaneous Melanoma Detection and Management 27

Ferdinand Toberer

91 papers receiving 2.2k citations

Ferdinand Toberer'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

Ferdinand Toberer
Comparison fields: 5 of 142
  • Health Informatics 251
  • Oncology 1.3k
  • Dermatology 228
  • Biophysics 146
  • Artificial Intelligence 839
Replace Therezia Bokor‐Billmann with:
Therezia Bokor‐Billmann Germany
Christine Fink Germany
Kristina Buder‐Bakhaya Germany
Julia Katharina Winkler Germany
John Paoli Sweden
Aadi Kalloo United States
Raimonds Karls Italy
Wiebke Sondermann Germany
Riccardo Pampena Italy
Stefan Fröhling Germany
Ferdinand Toberer relative to Therezia Bokor‐Billmann Germany Therezia Bokor‐Billmann's profile →
Citations per field
00.5×2×3×4.3×
Therezia Bokor‐Billmann · 1×
Citations per year

Countries citing papers authored by Ferdinand Toberer

Since Specialization
Citations

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

Fields of papers citing papers by Ferdinand Toberer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ferdinand Toberer, 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 Ferdinand Toberer Line = papers co-authored together Ferdinand Toberer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 120 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 2019258
3 2020179
4 202089
5 201955
6 202353
7 202039
8 201137
9 202036
10 201328
11 202126
12 201819
13 202119
14 201615
15 201314
16 201113
17 202013
18 202113
19 201811
20 202010

About Ferdinand Toberer

Ferdinand Toberer is a scholar working on Dermatology, Oncology, Rheumatology, Pathology and Forensic Medicine and Epidemiology, having authored 120 papers that have together received 2.3k indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (27 papers), Cutaneous lymphoproliferative disorders research (16 papers), Dermatological and Skeletal Disorders (12 papers), Histiocytic Disorders and Treatments (11 papers), Cancer and Skin Lesions (9 papers), Eosinophilic Disorders and Syndromes (9 papers), Tumors and Oncological Cases (9 papers) and Autoimmune and Inflammatory Disorders (9 papers). The work is most often cited by research in Health Informatics (251 citations), Oncology (1.3k citations), Dermatology (228 citations), Biophysics (146 citations) and Artificial Intelligence (839 citations). Ferdinand Toberer has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Holger Andreas Haenssle, Alexander Enk, Julia Katharina Winkler, Christine Fink, Andreas Blum, Alexander Heinrich Enk, Wilhelm Stolz, Teresa Deinlein, Rainer Hofmann‐Wellenhof and Luc Thomas. Their work appears in journals such as JDDG Journal der Deutschen Dermatologischen Gesellschaft, Acta Dermato Venereologica, European Journal of Cancer, Journal of Cutaneous Pathology and Journal of the American Academy of Dermatology.

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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