Daniel Abler

671 citations
31 papers · 489 indexed · h-index 10

Impact in

  • Radiation top 5%
    • Radiation Detection and Scintillator Technologies
    • Nuclear Physics and Applications
    • Mathematical Biology Tumor Growth

Papers in

Daniel Abler

29 papers receiving 481 citations

Peers

Daniel Abler
Comparison fields: 5 of 82
  • Radiation 193
  • Modeling and Simulation 35
  • Radiology, Nuclear Medicine and Imaging 95
  • Atomic and Molecular Physics, and Optics 122
  • Oncology 100
Replace Qibin Fu with:
Qibin Fu China
K Hendrickson United States
Yuanming Feng China
K. V. Pavlov Russia
Changran Geng China
C. Damiani Italy
Sofia Barbieri Italy
Hiroyuki Date Japan
Gen Yang China
Juliane Daartz United States
Daniel Abler relative to Qibin Fu China Qibin Fu's profile →
Citations per field
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Citations per year

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-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.

Border = papers with Daniel Abler Line = papers co-authored together Daniel Abler links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010112
2 201069
3 202068
4 201854
5 202027
6 201825
7 202414
8 202114
9 201913
10 201012
11 20089
12 20218
13 20118
14 20237
15 20237
16 20225
17 20135
18 20135
19 20185
20 20095

About Daniel Abler

Daniel Abler is a scholar working on Radiation, Health Informatics, Aging, Radiology, Nuclear Medicine and Imaging and Information Systems and Management, having authored 31 papers that have together received 489 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (7 papers), Radiation Detection and Scintillator Technologies (6 papers), Medical Imaging Techniques and Applications (5 papers), Nuclear Physics and Applications (3 papers), MRI in cancer diagnosis (3 papers), Particle Detector Development and Performance (3 papers), Advanced MRI Techniques and Applications (2 papers) and Advanced Semiconductor Detectors and Materials (2 papers). The work is most often cited by research in Radiation (193 citations), Modeling and Simulation (35 citations), Radiology, Nuclear Medicine and Imaging (95 citations), Atomic and Molecular Physics, and Optics (122 citations) and Oncology (100 citations). Daniel Abler has collaborated with scholars based in Switzerland, United States and France. Frequent co-authors include E. Auffray, P. Lecoq, Christophe Dujardin, K. L. Ovanesyan, A. G. Petrosyan, Russell C. Rockne, Didier Perrodin, David Amans, Gilles Ledoux and C. Mancini. Their work appears in journals such as Scientific Reports, Journal of Radiation Research, Optics Express, Journal of Personalized Medicine and Radiotherapy and Oncology.

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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