Daniel Abler

671 total citations
31 papers, 489 citations indexed

About

Daniel Abler is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Oncology. According to data from OpenAlex, Daniel Abler has authored 31 papers receiving a total of 489 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Radiation and 6 papers in Oncology. Recurrent topics in Daniel Abler's work include Radiomics and Machine Learning in Medical Imaging (7 papers), Radiation Detection and Scintillator Technologies (6 papers) and Medical Imaging Techniques and Applications (5 papers). Daniel Abler is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (7 papers), Radiation Detection and Scintillator Technologies (6 papers) and Medical Imaging Techniques and Applications (5 papers). Daniel Abler collaborates with scholars based in Switzerland, United States and France. Daniel Abler's co-authors include E. Auffray, P. Lecoq, Christophe Dujardin, K. L. Ovanesyan, A. G. Petrosyan, Russell C. Rockne, Didier Perrodin, C. Mancini, Gilles Ledoux and David Amans and has published in prestigious journals such as Journal of Applied Physics, Scientific Reports and Optics Express.

In The Last Decade

Daniel Abler

29 papers receiving 481 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel Abler Switzerland 10 193 138 122 100 95 31 489
Qibin Fu China 12 90 0.5× 53 0.4× 20 0.2× 120 1.2× 68 0.7× 34 454
Jesper Folsted Kallehauge Denmark 18 226 1.2× 42 0.3× 108 0.9× 60 0.6× 529 5.6× 56 955
Yuanming Feng China 18 222 1.2× 38 0.3× 116 1.0× 43 0.4× 273 2.9× 93 864
K Hendrickson United States 10 131 0.7× 29 0.2× 52 0.4× 65 0.7× 397 4.2× 39 712
Mekhail Anwar United States 13 106 0.5× 138 1.0× 57 0.5× 38 0.4× 94 1.0× 65 719
Changran Geng China 14 462 2.4× 51 0.4× 12 0.1× 58 0.6× 307 3.2× 77 750
Juliane Daartz United States 15 641 3.3× 44 0.3× 22 0.2× 109 1.1× 372 3.9× 35 1.3k
C. Damiani Italy 10 95 0.5× 57 0.4× 26 0.2× 51 0.5× 128 1.3× 44 415
Strahinja Stojadinović United States 21 498 2.6× 73 0.5× 72 0.6× 43 0.4× 624 6.6× 67 1.4k
Jean‐François Adam France 19 513 2.7× 110 0.8× 36 0.3× 35 0.3× 459 4.8× 37 1.0k

Countries citing papers authored by Daniel Abler

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Abler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Abler

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Abler. A scholar is included among the top collaborators of Daniel Abler 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 Daniel Abler. Daniel Abler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Abler, Daniel, Thomas Vetterli, Olivier Rouaud, et al.. (2025). A Radiomics-Based Analysis of Functional Dopaminergic Scintigraphic Imaging for the Diagnosis of Dementia with Lewy Bodies. Neurodegenerative Diseases. 1–10.
2.
Schmidt, Sabine, Daniel Abler, Thomas Vetterli, et al.. (2025). MRI and CT radiomics for the diagnosis of acute pancreatitis. European Journal of Radiology Open. 14. 100636–100636. 1 indexed citations
3.
Schiappacasse, Luis, Daniel Abler, Marek Wodziński, et al.. (2024). Automatic detection and multi-component segmentation of brain metastases in longitudinal MRI. Scientific Reports. 14(1). 31603–31603. 1 indexed citations
4.
Kolokotroni, Eleni, Daniel Abler, Eleftheria Tzamali, et al.. (2024). A Multidisciplinary Hyper-Modeling Scheme in Personalized In Silico Oncology: Coupling Cell Kinetics with Metabolism, Signaling Networks, and Biomechanics as Plug-In Component Models of a Cancer Digital Twin. Journal of Personalized Medicine. 14(5). 475–475. 14 indexed citations
5.
Abler, Daniel, Vincent Andrearczyk, Julien Fageot, et al.. (2024). Comparing various AI approaches to traditional quantitative assessment of the myocardial perfusion in [82Rb] PET for MACE prediction. Scientific Reports. 14(1). 9644–9644. 2 indexed citations
6.
Courlet, Perrine, Daniel Abler, Monia Guidi, et al.. (2023). Modeling tumor size dynamics based on real‐world electronic health records and image data in advanced melanoma patients receiving immunotherapy. CPT Pharmacometrics & Systems Pharmacology. 12(8). 1170–1181. 7 indexed citations
7.
Abler, Daniel, Roger Schaer, Valentin Oreiller, et al.. (2023). QuantImage v2: a comprehensive and integrated physician-centered cloud platform for radiomics and machine learning research. European Radiology Experimental. 7(1). 16–16. 7 indexed citations
8.
Abler, Daniel, Perrine Courlet, Roberto Gatta, et al.. (2023). Semiautomated Pipeline to Quantify Tumor Evolution From Real-World Positron Emission Tomography/Computed Tomography Imaging. JCO Clinical Cancer Informatics. 7(7). e2200126–e2200126. 2 indexed citations
9.
Andrearczyk, Vincent, Valentin Oreiller, Daniel Abler, et al.. (2022). Cleaning radiotherapy contours for radiomics studies, is it worth it? A head and neck cancer study. Clinical and Translational Radiation Oncology. 33. 153–158. 5 indexed citations
10.
11.
Ueki, Yasushi, Daniel Abler, Nicolas Diehm, et al.. (2021). Towards a better understanding of the posttreatment hemodynamic behaviors in femoropopliteal arteries through personalized computational models based on OCT images. Scientific Reports. 11(1). 16633–16633. 8 indexed citations
12.
Sahoo, Prativa, Xin Yang, Daniel Abler, et al.. (2020). Mathematical deconvolution of CAR T-cell proliferation and exhaustion from real-time killing assay data. Journal of The Royal Society Interface. 17(162). 20190734–20190734. 68 indexed citations
13.
Jarrett, Angela M., David A. Hormuth, Vikram Adhikarla, et al.. (2020). Towards integration of 64Cu-DOTA-trastuzumab PET-CT and MRI with mathematical modeling to predict response to neoadjuvant therapy in HER2 + breast cancer. Scientific Reports. 10(1). 20518–20518. 27 indexed citations
14.
Kingsmore, Kathryn M., Andrea Vaccari, Daniel Abler, et al.. (2018). MRI analysis to map interstitial flow in the brain tumor microenvironment. APL Bioengineering. 2(3). 54 indexed citations
15.
Abler, Daniel, et al.. (2018). A statistical shape model to predict the premorbid glenoid cavity. Journal of Shoulder and Elbow Surgery. 27(10). 1800–1808. 25 indexed citations
16.
Abler, Daniel, et al.. (2013). Feasibility study for a biomedical experimental facility based on LEIR at CERN. Journal of Radiation Research. 54(suppl 1). i162–i167. 5 indexed citations
17.
Abler, Daniel, Vassilis Kanellopoulos, E. Ros, et al.. (2013). Hadron therapy information sharing prototype. Journal of Radiation Research. 54(suppl 1). i56–i60. 1 indexed citations
18.
Abler, Daniel, Vassilis Kanellopoulos, Jim Davies, et al.. (2013). Data-driven Markov models and their application in the evaluation of adverse events in radiotherapy. Journal of Radiation Research. 54(suppl 1). i49–i55. 5 indexed citations
19.
Abler, Daniel. (2012). 190 EXTENDING LEIR TO PROVIDE ION BEAMS FOR BIO-MEDICAL EXPERIMENTS. Radiotherapy and Oncology. 102. S91–S92. 1 indexed citations
20.
Mazzaro, Irineu, et al.. (2008). Long and compact x-ray pathway for experiments requiring high coherent x-ray beams. Optics Express. 16(13). 9284–9284. 9 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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