Daniel F. Schmidt
Impact in
- Polymers and Plastics top 1%
- Polymer Nanocomposites and Properties
- Polymer composites and self-healing
Papers in
-
- Polymer Nanocomposites and Properties 21
- Polymer composites and self-healing 20
- Conducting polymers and applications 7
- Biomaterials 24
- biodegradable polymer synthesis and properties 11
- Silk-based biomaterials and applications 6
- Co-authors
- Deepak ShahEmmanuel P. GiannelisSusan BolandDavid L. KaplanLindsay S. WrayC. A. BattDavid D. JiangErica Gunn
- Journals
- Macromolecules (5 papers)Polymers (5 papers)Biomaterials (5 papers)ACS Applied Polymer Materials (4 papers)Chemistry of Materials (3 papers)
- Partner nations
- United StatesLuxembourgGermany
In The Last Decade
Daniel F. Schmidt
79 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 162
- Neuropsychology and Physiological Psychology 171
- Polymers and Plastics 1.1k
- Biomaterials 954
- Biomedical Engineering 1.1k
- Process Chemistry and Technology 68
Countries citing papers authored by Daniel F. Schmidt
This map shows the geographic impact of Daniel F. Schmidt'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 F. Schmidt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel F. Schmidt more than expected).
Fields of papers citing papers by Daniel F. Schmidt
This network shows the impact of papers produced by Daniel F. Schmidt. 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 F. Schmidt. The network helps show where Daniel F. Schmidt may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel F. Schmidt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 5 | |
| 6 | 2024 | 6 | |
| 7 | 2023 | 15 | |
| 8 | 2022 | 46 | |
| 9 | 2021 | 1 | |
| 10 | 2021 | 32 | |
| 11 | 2020 | 11 | |
| 12 | 2019 | 17 | |
| 13 | 2017 | 8 | |
| 14 | 2014 | 59 | |
| 15 | 2014 | 58 | |
| 16 | 2013 | 58 | |
| 17 | 2012 | 7 | |
| 18 | 2012 | 108 | |
| 19 | 2008 | 43 | |
| 20 | 2007 | 9 |
About Daniel F. Schmidt
Daniel F. Schmidt is a scholar working on Polymers and Plastics, Biomaterials, Catalysis, Process Chemistry and Technology and Neuropsychology and Physiological Psychology, having authored 80 papers that have together received 3.1k indexed citations. Recurring topics across this work include Polymer Nanocomposites and Properties (21 papers), Polymer composites and self-healing (20 papers), biodegradable polymer synthesis and properties (11 papers), Epoxy Resin Curing Processes (8 papers), Bone Tissue Engineering Materials (7 papers), Conducting polymers and applications (7 papers), Silk-based biomaterials and applications (6 papers) and Silicone and Siloxane Chemistry (6 papers). The work is most often cited by research in Neuropsychology and Physiological Psychology (171 citations), Polymers and Plastics (1.1k citations), Biomaterials (954 citations), Biomedical Engineering (1.1k citations) and Process Chemistry and Technology (68 citations). Daniel F. Schmidt has collaborated with scholars based in United States, Luxembourg and Germany. Frequent co-authors include Deepak Shah, Emmanuel P. Giannelis, Susan Boland, David L. Kaplan, Lindsay S. Wray, C. A. Batt, David D. Jiang, Erica Gunn, E.P. Giannelis and Pralay Maiti. Their work appears in journals such as Macromolecules, Polymers, Biomaterials, ACS Applied Polymer Materials and Chemistry of Materials.
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.