E. Seifert
Impact in
- Software top 10%
- Spreadsheets and End-User Computing
- Nuclear and High Energy Physics top 10%
- High-Energy Particle Collisions Research
- Quantum Chromodynamics and Particle Interactions
- Particle physics theoretical and experimental studies
Papers in
-
- Quantum Chromodynamics and Particle Interactions 5
- Particle physics theoretical and experimental studies 5
- High-Energy Particle Collisions Research 5
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- Scientific Computing and Data Management 1
- Co-authors
- W. Cassing (4 shared papers)Robin Abraham (1 shared paper)A. Palmese (3 shared papers)Elena Bratkovskaya (3 shared papers)T. Steinert (3 shared papers)Pierre Moreau (3 shared papers)
- Journals
- Physical review. C (3 papers)Journal of Chemical Information and Modeling (1 paper)Nuclear Physics A (1 paper)Journal of Physics Conference Series (1 paper)
- Partner nations
- GermanyUnited States
In The Last Decade
E. Seifert
7 papers receiving 488 citations
E. Seifert's Hit Papers
Peers
Comparison fields: 5 of 130
- Software 37
- Nuclear and High Energy Physics 84
- Computational Theory and Mathematics 62
- Molecular Biology 161
- Organic Chemistry 62
Countries citing papers authored by E. Seifert
This map shows the geographic impact of E. Seifert'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 E. Seifert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Seifert more than expected).
Fields of papers citing papers by E. Seifert
This network shows the impact of papers produced by E. Seifert. 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 E. Seifert. The network helps show where E. Seifert may publish in the future.
Co-authors
The 6 scholars most cited alongside E. Seifert, 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 | OriginPro 9.1: Scientific Data Analysis and Graphing Software—Software Review Hit paper breakdown → | 2014 | 374 |
| 2 | 2016 | 46 | |
| 3 | 2005 | 38 | |
| 4 | 2018 | 18 | |
| 5 | 2018 | 10 | |
| 6 | 2017 | 8 | |
| 7 | 2017 | 3 |
About E. Seifert
E. Seifert is a scholar working on Nuclear and High Energy Physics, Information Systems and Management, Computer Science Applications, Software and Statistics and Probability, having authored 7 papers that have together received 497 indexed citations. Recurring topics across this work include Quantum Chromodynamics and Particle Interactions (5 papers), Particle physics theoretical and experimental studies (5 papers), High-Energy Particle Collisions Research (5 papers), Statistics Education and Methodologies (1 paper), Teaching and Learning Programming (1 paper), Scientific Computing and Data Management (1 paper) and Spreadsheets and End-User Computing (1 paper). The work is most often cited by research in Software (37 citations), Nuclear and High Energy Physics (84 citations), Computational Theory and Mathematics (62 citations), Molecular Biology (161 citations) and Organic Chemistry (62 citations). E. Seifert has collaborated with scholars based in Germany and United States. Frequent co-authors include W. Cassing, Robin Abraham, A. Palmese, Elena Bratkovskaya, T. Steinert and Pierre Moreau. Their work appears in journals such as Physical review. C, Journal of Chemical Information and Modeling, Nuclear Physics A and Journal of Physics Conference Series.
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.