Daniel Schwartz
Impact in
- Pharmaceutical Science top 5%
- Advanced Drug Delivery Systems
- Biomaterials top 10%
- Nanoparticle-Based Drug Delivery
Papers in
-
- Protein purification and stability 3
-
- Face and Expression Recognition 1
- Co-authors
- Klaus Langer (2 shared papers)Werner Mäntele (1 shared paper)Winfried Haase (1 shared paper)Vitali Vogel (1 shared paper)J. S. Denker (2 shared papers)Sara A. Solla (1 shared paper)Wolfgang Frieß (2 shared papers)Martin Michaelis (1 shared paper)
- Journals
- European Journal of Pharmaceutics and Biopharmaceutics (2 papers)AIChE Journal (1 paper)Journal of Pharmaceutical Sciences (1 paper)Neural Computation (1 paper)Biomaterials (1 paper)
- Partner nations
- United StatesGermanyBelgium
In The Last Decade
Daniel Schwartz
14 papers receiving 383 citations
Peers
Comparison fields: 5 of 103
- Pharmaceutical Science 78
- Biomaterials 131
- Drug Discovery 1
- Artificial Intelligence 81
- Molecular Medicine 11
Countries citing papers authored by Daniel Schwartz
This map shows the geographic impact of Daniel Schwartz'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 Schwartz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Schwartz more than expected).
Fields of papers citing papers by Daniel Schwartz
This network shows the impact of papers produced by Daniel Schwartz. 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 Schwartz. The network helps show where Daniel Schwartz may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Schwartz, 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 | 2009 | 120 | |
| 2 | 2009 | 113 | |
| 3 | 1990 | 52 | |
| 4 | 1986 | 32 | |
| 5 | 2008 | 26 | |
| 6 | 2006 | 14 | |
| 7 | 2022 | 8 | |
| 8 | 2020 | 8 | |
| 9 | 2022 | 7 | |
| 10 | 2020 | 4 | |
| 11 | 2020 | 2 | |
| 12 | 2021 | 1 | |
| 13 | 2022 | 1 | |
| 14 | 2021 | 1 | |
| 15 | 2025 | 0 |
About Daniel Schwartz
Daniel Schwartz is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering, having authored 15 papers that have together received 389 indexed citations. Recurring topics across this work include Protein purification and stability (3 papers), Drug Solubulity and Delivery Systems (2 papers), Advanced Sensor and Energy Harvesting Materials (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Neural Networks and Applications (2 papers), Flood Risk Assessment and Management (1 paper), Face and Expression Recognition (1 paper) and Anomaly Detection Techniques and Applications (1 paper). The work is most often cited by research in Pharmaceutical Science (78 citations), Biomaterials (131 citations), Drug Discovery (1 citation), Artificial Intelligence (81 citations) and Molecular Medicine (11 citations). Daniel Schwartz has collaborated with scholars based in United States, Germany and Belgium. Frequent co-authors include Klaus Langer, Werner Mäntele, Winfried Haase, Vitali Vogel, J. S. Denker, Sara A. Solla, Wolfgang Frieß, Martin Michaelis, Hagen von Briesen and Florian Rothweiler. Their work appears in journals such as European Journal of Pharmaceutics and Biopharmaceutics, AIChE Journal, Journal of Pharmaceutical Sciences, Neural Computation and Biomaterials.
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.