Daniel Seidl
Impact in
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- Cancer Cells and Metastasis
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- Cellular Mechanics and Interactions
Papers in
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- Elasticity and Material Modeling 8
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- Numerical methods in engineering 4
- Co-authors
- Ralf Hass (3 shared papers)Hendrik Ungefroren (3 shared papers)Hendrik Lehnert (3 shared papers)Susanne Sebens (1 shared paper)Assad A. Oberai (4 shared papers)Phillip L. Reu (4 shared papers)Frank Gieseler (2 shared papers)Dirk Rades (2 shared papers)
- Journals
- Computer Methods in Applied Mechanics and Engineering (4 papers)Experimental Mechanics (3 papers)PLoS ONE (2 papers)Computational Materials Science (1 paper)Journal of the Mechanics and Physics of Solids (1 paper)
- Partner nations
- United StatesGermanyIsrael
In The Last Decade
Daniel Seidl
27 papers receiving 464 citations
Peers
Comparison fields: 5 of 98
- Oncology 153
- Cell Biology 76
- Cancer Research 65
- Immunology and Allergy 21
- Genetics 28
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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 245 | |
| 2 | 2013 | 36 | |
| 3 | 2013 | 31 | |
| 4 | 2019 | 30 | |
| 5 | 1999 | 19 | |
| 6 | 2022 | 17 | |
| 7 | 2019 | 16 | |
| 8 | 2021 | 14 | |
| 9 | 2020 | 14 | |
| 10 | 2024 | 12 | |
| 11 | 2020 | 6 | |
| 12 | 2019 | 6 | |
| 13 | 2013 | 5 | |
| 14 | 2014 | 4 | |
| 15 | 2023 | 3 | |
| 16 | 2024 | 3 | |
| 17 | 2023 | 3 | |
| 18 | 2022 | 3 | |
| 19 | 2020 | 3 | |
| 20 | 2023 | 2 |
About Daniel Seidl
Daniel Seidl is a scholar working on Biomedical Engineering, Mechanics of Materials, Statistics, Probability and Uncertainty, Computational Theory and Mathematics and Mechanical Engineering, having authored 32 papers that have together received 480 indexed citations. Recurring topics across this work include Elasticity and Material Modeling (8 papers), Probabilistic and Robust Engineering Design (6 papers), Numerical methods in engineering (4 papers), Optical measurement and interference techniques (4 papers), Advanced Multi-Objective Optimization Algorithms (4 papers), Metal Forming Simulation Techniques (3 papers), Cancer Cells and Metastasis (3 papers) and Ultrasound Imaging and Elastography (3 papers). The work is most often cited by research in Oncology (153 citations), Cell Biology (76 citations), Cancer Research (65 citations), Immunology and Allergy (21 citations) and Genetics (28 citations). Daniel Seidl has collaborated with scholars based in United States, Germany and Israel. Frequent co-authors include Ralf Hass, Hendrik Ungefroren, Hendrik Lehnert, Susanne Sebens, Assad A. Oberai, Phillip L. Reu, Frank Gieseler, Dirk Rades, Katharina Mandel and Paul E. Barbone. Their work appears in journals such as Computer Methods in Applied Mechanics and Engineering, Experimental Mechanics, PLoS ONE, Computational Materials Science and Journal of the Mechanics and Physics of Solids.
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.