Daniel Seidl
Impact in
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- Cancer Cells and Metastasis
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- Cancer, Hypoxia, and Metabolism
Papers in
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- Elasticity and Material Modeling 8
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- Probabilistic and Robust Engineering Design 7
- Co-authors
- Hendrik Lehnert (3 shared papers)Ralf Hass (3 shared papers)Hendrik Ungefroren (3 shared papers)Susanne Sebens (1 shared paper)Phillip L. Reu (4 shared papers)Assad A. Oberai (4 shared papers)Frank Gieseler (2 shared papers)Katharina Mandel (2 shared papers)
- Journals
- Computer Methods in Applied Mechanics and Engineering (4 papers)Experimental Mechanics (3 papers)PLoS ONE (2 papers)Strain (2 papers)International Journal for Uncertainty Quantification (1 paper)
- Partner nations
- United StatesGermanyIsrael
In The Last Decade
Daniel Seidl
32 papers receiving 510 citations
Peers
Comparison fields: 5 of 98
- Oncology 141
- Cancer Research 67
- Cell Biology 72
- Immunology and Allergy 19
- Statistics, Probability and Uncertainty 19
Countries citing papers authored by Daniel Seidl
This map shows the geographic impact of Daniel Seidl'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 Seidl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Seidl more than expected).
Fields of papers citing papers by Daniel Seidl
This network shows the impact of papers produced by Daniel Seidl. 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 Seidl. The network helps show where Daniel Seidl may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Seidl, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 261 | |
| 2 | 2013 | 36 | |
| 3 | 2019 | 33 | |
| 4 | 2013 | 32 | |
| 5 | 2022 | 20 | |
| 6 | 1999 | 19 | |
| 7 | 2021 | 16 | |
| 8 | 2019 | 16 | |
| 9 | 2020 | 16 | |
| 10 | 2024 | 14 | |
| 11 | 2020 | 6 | |
| 12 | 2019 | 6 | |
| 13 | 2013 | 5 | |
| 14 | 2023 | 5 | |
| 15 | 2023 | 4 | |
| 16 | 2014 | 4 | |
| 17 | 2018 | 4 | |
| 18 | 2024 | 3 | |
| 19 | 2025 | 3 | |
| 20 | 2022 | 3 |
About Daniel Seidl
Daniel Seidl is a scholar working on Biomedical Engineering, Statistics, Probability and Uncertainty, Mechanics of Materials, Mechanical Engineering and Computational Theory and Mathematics, having authored 34 papers that have together received 524 indexed citations. Recurring topics across this work include Elasticity and Material Modeling (8 papers), Probabilistic and Robust Engineering Design (7 papers), Numerical methods in engineering (4 papers), Optical measurement and interference techniques (4 papers), Advanced Multi-Objective Optimization Algorithms (4 papers), Cancer Cells and Metastasis (3 papers), Ultrasound Imaging and Elastography (3 papers) and Metal Forming Simulation Techniques (3 papers). The work is most often cited by research in Oncology (141 citations), Cancer Research (67 citations), Cell Biology (72 citations), Immunology and Allergy (19 citations) and Statistics, Probability and Uncertainty (19 citations). Daniel Seidl has collaborated with scholars based in United States, Germany and Israel. Frequent co-authors include Hendrik Lehnert, Ralf Hass, Hendrik Ungefroren, Susanne Sebens, Phillip L. Reu, Assad A. Oberai, Frank Gieseler, Katharina Mandel, Paul E. Barbone and Elizabeth M. C. Jones. Their work appears in journals such as Computer Methods in Applied Mechanics and Engineering, Experimental Mechanics, PLoS ONE, Strain and International Journal for Uncertainty Quantification.
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.