Daniel Abler
Impact in
- Radiation top 5%
- Radiation Detection and Scintillator Technologies
- Modeling and Simulation top 5%
- Mathematical Biology Tumor Growth
Papers in
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- Mathematical Biology Tumor Growth 7
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- Radiomics and Machine Learning in Medical Imaging 7
- Medical Imaging Techniques and Applications 2
- Co-authors
- E. Auffray (5 shared papers)Paul R. Lecoq (5 shared papers)Russell C. Rockne (7 shared papers)Christophe Dujardin (3 shared papers)Ashot G. Petrosyan (3 shared papers)Karine L. Ovanesyan (2 shared papers)Philippe Büchler (8 shared papers)Didier Perrodin (2 shared papers)
- Journals
- Scientific Reports (4 papers)Journal of Radiation Research (3 papers)Neurodegenerative Diseases (1 paper)Journal of Crystal Growth (1 paper)Pharmaceutics (1 paper)
- Partner nations
- SwitzerlandUnited StatesFrance
In The Last Decade
Daniel Abler
33 papers receiving 553 citations
Peers
Comparison fields: 5 of 66
- Radiation 185
- Modeling and Simulation 85
- Health Informatics 17
- Nuclear Energy and Engineering 1
- Oncology 62
Countries citing papers authored by Daniel Abler
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
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-authors
The 25 scholars most cited alongside Daniel Abler, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 119 | |
| 2 | 2020 | 79 | |
| 3 | 2010 | 73 | |
| 4 | 2018 | 59 | |
| 5 | 2018 | 29 | |
| 6 | 2020 | 28 | |
| 7 | 2021 | 17 | |
| 8 | 2024 | 17 | |
| 9 | 2010 | 15 | |
| 10 | 2019 | 15 | |
| 11 | 2019 | 11 | |
| 12 | 2023 | 10 | |
| 13 | 2008 | 9 | |
| 14 | 2011 | 8 | |
| 15 | 2013 | 8 | |
| 16 | 2021 | 8 | |
| 17 | 2023 | 8 | |
| 18 | 2022 | 7 | |
| 19 | 2009 | 6 | |
| 20 | 2013 | 5 |
About Daniel Abler
Daniel Abler is a scholar working on Modeling and Simulation, Radiology, Nuclear Medicine and Imaging, Radiation, Nuclear and High Energy Physics and Genetics, having authored 35 papers that have together received 561 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (7 papers), Mathematical Biology Tumor Growth (7 papers), Radiation Detection and Scintillator Technologies (4 papers), Particle Detector Development and Performance (3 papers), Particle accelerators and beam dynamics (3 papers), Radiation Therapy and Dosimetry (3 papers), Glioma Diagnosis and Treatment (2 papers) and Medical Imaging Techniques and Applications (2 papers). The work is most often cited by research in Radiation (185 citations), Modeling and Simulation (85 citations), Health Informatics (17 citations), Nuclear Energy and Engineering (1 citation) and Oncology (62 citations). Daniel Abler has collaborated with scholars based in Switzerland, United States and France. Frequent co-authors include E. Auffray, Paul R. Lecoq, Russell C. Rockne, Christophe Dujardin, Ashot G. Petrosyan, Karine L. Ovanesyan, Philippe Büchler, Didier Perrodin, David Amans and Gilles Ledoux. Their work appears in journals such as Scientific Reports, Journal of Radiation Research, Neurodegenerative Diseases, Journal of Crystal Growth and Pharmaceutics.
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.