Michael Pieler
Impact in
- Health Informatics top 10%
- Artificial Intelligence top 10%
- Topic Modeling
- Natural Language Processing Techniques
Papers in
-
- Protein purification and stability 5
- Viral Infectious Diseases and Gene Expression in Insects 2
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- Influenza Virus Research Studies 3
- Co-authors
- Udo Reichl (8 shared papers)Michael W. Wolff (7 shared papers)Pavel Marichal‐Gallardo (2 shared papers)Laria Reynolds (1 shared paper)Kyle McDonell (1 shared paper)Sidney Black (1 shared paper)Stella Biderman (1 shared paper)Ben Wang (1 shared paper)
- Journals
- Engineering in Life Sciences (2 papers)Analytical Chemistry (1 paper)Human Gene Therapy (1 paper)Journal of Chromatography A (1 paper)Chemie Ingenieur Technik (1 paper)
- Partner nations
- GermanyUnited States
In The Last Decade
Michael Pieler
10 papers receiving 340 citations
Michael Pieler's Hit Papers
Peers
Comparison fields: 5 of 71
- Health Informatics 15
- Artificial Intelligence 177
- Software 18
- Infectious Diseases 48
- Information Systems 42
Countries citing papers authored by Michael Pieler
This map shows the geographic impact of Michael Pieler'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 Michael Pieler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Pieler more than expected).
Fields of papers citing papers by Michael Pieler
This network shows the impact of papers produced by Michael Pieler. 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 Michael Pieler. The network helps show where Michael Pieler may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Pieler, 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 | GPT-NeoX-20B: An Open-Source Autoregressive Language Model Hit paper breakdown → | 2022 | 240 |
| 2 | 2016 | 52 | |
| 3 | 2021 | 34 | |
| 4 | 2016 | 12 | |
| 5 | 2017 | 5 | |
| 6 | 2015 | 5 | |
| 7 | 2014 | 4 | |
| 8 | 2016 | 2 | |
| 9 | 2023 | 1 | |
| 10 | Intensification of MVA and influenza virus production through high-cell-density cultivation approaches | 2016 | 1 |
About Michael Pieler
Michael Pieler is a scholar working on Molecular Biology, Epidemiology, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Genetics, having authored 10 papers that have together received 356 indexed citations. Recurring topics across this work include Protein purification and stability (5 papers), Influenza Virus Research Studies (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Virus-based gene therapy research (2 papers), Topic Modeling (2 papers), Multimodal Machine Learning Applications (1 paper) and Viral gastroenteritis research and epidemiology (1 paper). The work is most often cited by research in Health Informatics (15 citations), Artificial Intelligence (177 citations), Software (18 citations), Infectious Diseases (48 citations) and Information Systems (42 citations). Michael Pieler has collaborated with scholars based in Germany and United States. Frequent co-authors include Udo Reichl, Michael W. Wolff, Pavel Marichal‐Gallardo, Laria Reynolds, Kyle McDonell, Sidney Black, Stella Biderman, Ben Wang, Horace He and Quentin Anthony. Their work appears in journals such as Engineering in Life Sciences, Analytical Chemistry, Human Gene Therapy, Journal of Chromatography A and Chemie Ingenieur Technik.
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.