Julia Hartmann

48 papers receiving 1.8k citations

Julia Hartmann'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

Julia Hartmann
Comparison fields: 5 of 89
  • Health Informatics 180
  • Oncology 625
  • Mathematical Physics 73
  • Geometry and Topology 51
  • Microbiology 31
Replace Teresa Palmira Russo with:
Teresa Palmira Russo Italy
Leo Čabrijan Croatia
Jan Lapins Sweden
Patrick Gholam Germany
Therezia Bokor‐Billmann Germany
Giulio Antonelli Italy
Riccardo Pampena Italy
Dominik Sebastian Mestel Germany
Roland Schneiderbauer Germany
Monika Arenbergerová Czechia
Julia Hartmann relative to Teresa Palmira Russo Italy Teresa Palmira Russo's profile →
Citations per field
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Citations per year

Countries citing papers authored by Julia Hartmann

Since Specialization
Citations

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

Fields of papers citing papers by Julia Hartmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 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 →
20181146
2 2020183
3 200286
4 201760
5 200950
6 201739
7 202039
8 201133
9 201025
10 200922
11 201522
12 201921
13 201416
14 201913
15 201512
16 200511
17 201011
18 20079
19 20159
20 20128

About Julia Hartmann

Julia Hartmann is a scholar working on Mathematical Physics, Epidemiology, Geometry and Topology, Oncology and Microbiology, having authored 50 papers that have together received 1.9k indexed citations. Recurring topics across this work include Advanced Algebra and Geometry (7 papers), Nonmelanoma Skin Cancer Studies (5 papers), Cutaneous Melanoma Detection and Management (3 papers), Speech Recognition and Synthesis (2 papers), Influenza Virus Research Studies (2 papers), Algebraic Geometry and Number Theory (2 papers), Antimicrobial Peptides and Activities (1 paper) and Chronic Lymphocytic Leukemia Research (1 paper). The work is most often cited by research in Health Informatics (180 citations), Oncology (625 citations), Mathematical Physics (73 citations), Geometry and Topology (51 citations) and Microbiology (31 citations). Julia Hartmann has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include David Harbater, Daniel Krashen, Mohammedyaseen Syedbasha, Adrian Egli, Alexander Heinrich Enk, Volker Schöffl, Thomas Küpper, Karolina M. Zielińska-Dąbkowska, Isabelle Schöffl and Michael Stöckle. Their work appears in journals such as Transactions of the American Mathematical Society, Acta Dermato Venereologica, Israel Journal of Mathematics, Annals of Oncology and Journal of Visualized Experiments.

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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