Achim Hekler

4.9k total citations · 1 hit paper
27 papers, 1.5k citations indexed

About

Achim Hekler is a scholar working on Artificial Intelligence, Oncology and Control and Systems Engineering. According to data from OpenAlex, Achim Hekler has authored 27 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 13 papers in Oncology and 9 papers in Control and Systems Engineering. Recurrent topics in Achim Hekler's work include AI in cancer detection (16 papers), Cutaneous Melanoma Detection and Management (12 papers) and Advanced Control Systems Optimization (7 papers). Achim Hekler is often cited by papers focused on AI in cancer detection (16 papers), Cutaneous Melanoma Detection and Management (12 papers) and Advanced Control Systems Optimization (7 papers). Achim Hekler collaborates with scholars based in Germany, Switzerland and United States. Achim Hekler's 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 and has published in prestigious journals such as PLoS ONE, European Journal of Cancer and Journal of Medical Internet Research.

In The Last Decade

Achim Hekler

26 papers receiving 1.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Skin Cancer Classification Using Convolutional Neural Networks: Systematic Review

2018 296 citations Titus J. Brinker, Achim Hekler et al. Journal of Medical Internet Research profile →

Peers

Achim Hekler

ONCOL

RNMI

EPIDE

Noel Codella United States

Alexander Enk Germany

Saeed Hassanpour United States

Stefan Fröhling Germany

Muhammad Khalid Khan Niazi United States

Myoung Shin Kim South Korea

Catarina Barata Portugal

Woohyung Lim South Korea

Manu Goyal United Kingdom

Brian Helba United States

Noel Codella United States

Achim Hekler

846 ×1.0

ONCOL

883 ×1.1

705 ×2.2

RNMI

338 ×1.1

EPIDE

208 ×1.4

Citations per year, relative to Achim Hekler Achim Hekler (= 1×) peers Noel Codella

Countries citing papers authored by Achim Hekler

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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20 of 20 papers shown

Hekler, Achim, Titus J. Brinker, & Florian Buettner. (2023). Test Time Augmentation Meets Post-hoc Calibration: Uncertainty Quantification under Real-World Conditions. Proceedings of the AAAI Conference on Artificial Intelligence. 37(12). 14856–14864. 2 indexed citations

Kurz, Alexander, Eva Krieghoff‐Henning, Achim Hekler, et al.. (2022). Uncertainty Estimation in Medical Image Classification: Systematic Review. JMIR Medical Informatics. 10(8). e36427–e36427. 31 indexed citations

Schneider, Lucas, Eva Krieghoff‐Henning, Sara Kuntz, et al.. (2022). Response to letter entitled: Re: Integration of deep learning-based image analysis and genomic data in cancer pathology: A systematic review. European Journal of Cancer. 172. 403–404. 1 indexed citations

Maron, Roman C., Achim Hekler, Eva Krieghoff‐Henning, et al.. (2021). Reducing the Impact of Confounding Factors on Skin Cancer Classification via Image Segmentation: Technical Model Study. Journal of Medical Internet Research. 23(3). e21695–e21695. 11 indexed citations

Schmitt, Max, Roman C. Maron, Achim Hekler, et al.. (2021). Hidden Variables in Deep Learning Digital Pathology and Their Potential to Cause Batch Effects: Prediction Model Study. Journal of Medical Internet Research. 23(2). e23436–e23436. 40 indexed citations

Kuntz, Sara, Eva Krieghoff‐Henning, Jakob Nikolas Kather, et al.. (2021). Gastrointestinal cancer classification and prognostication from histology using deep learning: Systematic review. European Journal of Cancer. 155. 200–215. 116 indexed citations

Schneider, Lucas, Sara Kuntz, Eva Krieghoff‐Henning, et al.. (2021). Integration of deep learning-based image analysis and genomic data in cancer pathology: A systematic review. European Journal of Cancer. 160. 80–91. 54 indexed citations

Maron, Roman C., Jochen Utikal, Achim Hekler, et al.. (2020). Artificial Intelligence and Its Effect on Dermatologists’ Accuracy in Dermoscopic Melanoma Image Classification: Web-Based Survey Study. Journal of Medical Internet Research. 22(9). e18091–e18091. 47 indexed citations

Jutzi, Tanja, Eva Krieghoff‐Henning, Tim Holland‐Letz, et al.. (2020). Artificial Intelligence in Skin Cancer Diagnostics: The Patients' Perspective. Frontiers in Medicine. 7. 233–233. 106 indexed citations

10.

Hekler, Achim, Jochen Utikal, Alexander Enk, et al.. (2019). Pathologist-level classification of histopathological melanoma images with deep neural networks. European Journal of Cancer. 115. 79–83. 138 indexed citations

11.

Brinker, Titus J., Achim Hekler, Alexander Enk, et al.. (2019). Deep neural networks are superior to dermatologists in melanoma image classification. European Journal of Cancer. 119. 11–17. 215 indexed citations

12.

Brinker, Titus J., Achim Hekler, Alexander Enk, & Christof von Kalle. (2019). Enhanced classifier training to improve precision of a convolutional neural network to identify images of skin lesions. PLoS ONE. 14(6). e0218713–e0218713. 25 indexed citations

13.

Hekler, Achim, Jochen Utikal, Alexander Enk, et al.. (2019). Deep learning outperformed 11 pathologists in the classification of histopathological melanoma images. European Journal of Cancer. 118. 91–96. 184 indexed citations

14.

Brinker, Titus J., Achim Hekler, Axel Hauschild, et al.. (2019). Comparing artificial intelligence algorithms to 157 German dermatologists: the melanoma classification benchmark. European Journal of Cancer. 111. 30–37. 80 indexed citations

15.

Brinker, Titus J., Achim Hekler, Jochen Utikal, et al.. (2018). Skin Cancer Classification Using Convolutional Neural Networks: Systematic Review. Journal of Medical Internet Research. 20(10). e11936–e11936. 296 indexed citations breakdown →

16.

Brinker, Titus J., Achim Hekler, Christof von Kalle, et al.. (2018). Teledermatology: Comparison of Store-and-Forward Versus Live Interactive Video Conferencing. Journal of Medical Internet Research. 20(10). e11871–e11871. 41 indexed citations

17.

Hekler, Achim, Jörg Fischer, & Uwe D. Hanebeck. (2012). Control over unreliable networks based on control input densities. International Conference on Information Fusion. 1277–1283. 2 indexed citations

18.

Fischer, Jörg, Achim Hekler, & Uwe D. Hanebeck. (2012). State estimation in Networked Control Systems. International Conference on Information Fusion. 1947–1954. 10 indexed citations

19.

Hekler, Achim, et al.. (2012). Stochastic nonlinear model predictive control based on progressive density simplification. 35. 2619–2624. 4 indexed citations

20.

Hekler, Achim, Martin Kiefel, & Uwe D. Hanebeck. (2010). Nonlinear Bayesian estimation with compactly supported wavelets. Repository KITopen (Karlsruhe Institute of Technology). 1. 5701–5706. 3 indexed citations

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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