Achim Hekler
- Oncology top 5%
- Artificial Intelligence top 2%
- Radiology, Nuclear Medicine and Imaging top 5%
- Epidemiology top 10%
- Health Informatics top 0.5%
- Co-authors
- Titus J. BrinkerChristof von KalleJochen UtikalDirk SchadendorfAlexander EnkJoachim KlodeCarola BerkingStefan Fröhling
- Topics
- AI in cancer detection (16 papers)Cutaneous Melanoma Detection and Management (12 papers)Advanced Control Systems Optimization (7 papers)
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Achim Hekler
26 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Oncology 869
- Artificial Intelligence 818
- Radiology, Nuclear Medicine and Imaging 326
- Epidemiology 298
- Health Informatics 152
Countries citing papers authored by Achim Hekler
This map shows the geographic impact of Achim Hekler'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 Achim Hekler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Achim Hekler more than expected).
Fields of papers citing papers by Achim Hekler
This network shows the impact of papers produced by Achim Hekler. 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 Achim Hekler. The network helps show where Achim Hekler may publish in the future.
Co-authorship network of co-authors of Achim Hekler
This figure shows the co-authorship network connecting the top 25 collaborators of Achim Hekler. A scholar is included among the top collaborators of Achim Hekler 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 Achim Hekler. Achim Hekler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 31 | |
| 3 | 1 | |
| 4 | 11 | |
| 5 | 40 | |
| 6 | 116 | |
| 7 | 54 | |
| 8 | 47 | |
| 9 | 106 | |
| 10 | 138 | |
| 11 | 215 | |
| 12 | 25 | |
| 13 | 184 | |
| 14 | 80 | |
| 15 | Skin Cancer Classification Using Convolutional Neural Networks: Systematic Reviewbreakdown → | 296 |
| 16 | 41 | |
| 17 | Control over unreliable networks based on control input densities | 2 |
| 18 | State estimation in Networked Control Systems | 10 |
| 19 | 4 | |
| 20 | 3 |
About Achim Hekler
Achim Hekler is a scholar working on Health Informatics, Biophysics and Artificial Intelligence, having authored 27 papers that have together received 1.5k indexed citations. Recurring topics across this work include AI in cancer detection (16 papers), Cutaneous Melanoma Detection and Management (12 papers) and Advanced Control Systems Optimization (7 papers). The work is most often cited by research in Health Informatics (152 citations), Oncology (869 citations) and Artificial Intelligence (818 citations). Achim Hekler has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Titus J. Brinker, Christof von Kalle, Jochen Utikal, Dirk Schadendorf, Alexander Enk, Joachim Klode, Carola Berking, Stefan Fröhling, Eva Krieghoff‐Henning and Tim Holland‐Letz. Their work appears in journals such as PLoS ONE, European Journal of Cancer and Journal of Medical Internet Research.
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.