Daniel Seidl

About

Daniel Seidl is a scholar working on Biomedical Engineering, Statistics, Probability and Uncertainty and Computational Theory and Mathematics. According to data from OpenAlex, Daniel Seidl has authored 29 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Biomedical Engineering, 6 papers in Statistics, Probability and Uncertainty and 5 papers in Computational Theory and Mathematics. Recurrent topics in Daniel Seidl’s work include Elasticity and Material Modeling (7 papers), Probabilistic and Robust Engineering Design (6 papers) and Advanced Multi-Objective Optimization Algorithms (4 papers). Daniel Seidl is often cited by papers focused on Elasticity and Material Modeling (7 papers), Probabilistic and Robust Engineering Design (6 papers) and Advanced Multi-Objective Optimization Algorithms (4 papers). Daniel Seidl collaborates with scholars based in United States and Germany. Daniel Seidl's co-authors include Hendrik Lehnert, Ralf Hass, Hendrik Ungefroren, Susanne Sebens, Phillip L. Reu, Assad A. Oberai, Frank Gieseler, Katharina Mandel, Dirk Rades and Paul E. Barbone and has published in prestigious journals such as PLoS ONE, The Journal of the Acoustical Society of America and Computer Methods in Applied Mechanics and Engineering.

In The Last Decade

Co-authorship network of co-authors of Daniel Seidl i

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Fields of papers citing papers by Daniel Seidl

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Daniel Seidl

Since Specialization

Citations

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).

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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