Eva Siegmann
- Computational Mechanics top 2%
- Granular flow and fluidized beds 10
- Cyclone Separators and Fluid Dynamics 3
- Fluid Dynamics and Heat Transfer 2
- Pharmaceutical Science top 10%
- Ocean Engineering top 5%
- Mechanical Engineering top 10%
- Mineral Processing and Grinding 6
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- Parallel Computing and Optimization Techniques 8
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- Distributed and Parallel Computing Systems 7
- Advanced Data Storage Technologies 6
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- Planetary Science and Exploration 2
- Co-authors
- Johannes KhinastCharles RadekeDalibor JajčevićPeter TosonPankaj DoshiN. GovenderDaniel O. BlackwoodUwe Schmidt
- Journals
- International Journal of Pharmaceutics (3 papers)Advanced Powder Technology (2 papers)Powder Technology (2 papers)
- Partner nations
- United StatesAustriaGermany
In The Last Decade
Eva Siegmann
19 papers receiving 545 citations
Peers
Comparison fields: 5 of 63
- Computational Mechanics 411
- Pharmaceutical Science 52
- Ocean Engineering 90
- Mechanical Engineering 208
- Hardware and Architecture 25
Countries citing papers authored by Eva Siegmann
This map shows the geographic impact of Eva Siegmann'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 Eva Siegmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Siegmann more than expected).
Fields of papers citing papers by Eva Siegmann
This network shows the impact of papers produced by Eva Siegmann. 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 Eva Siegmann. The network helps show where Eva Siegmann may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Eva Siegmann, 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 | 2024 | 12 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 7 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 3 | |
| 7 | 2022 | 2 | |
| 8 | 2022 | 4 | |
| 9 | 2021 | 1 | |
| 10 | 2021 | 29 | |
| 11 | 2021 | 21 | |
| 12 | 2021 | 11 | |
| 13 | 2019 | 34 | |
| 14 | 2019 | 56 | |
| 15 | 2018 | 71 | |
| 16 | 2017 | 21 | |
| 17 | 2017 | 32 | |
| 18 | 2016 | 16 | |
| 19 | 2016 | 38 | |
| 20 | 2013 | 200 |
About Eva Siegmann
Eva Siegmann is a scholar working on Hardware and Architecture, Computational Mechanics, Computer Networks and Communications, Mechanical Engineering and Fluid Flow and Transfer Processes, having authored 20 papers that have together received 561 indexed citations. Recurring topics across this work include Granular flow and fluidized beds (10 papers), Parallel Computing and Optimization Techniques (8 papers), Distributed and Parallel Computing Systems (7 papers), Mineral Processing and Grinding (6 papers), Advanced Data Storage Technologies (6 papers), Cyclone Separators and Fluid Dynamics (3 papers), Planetary Science and Exploration (2 papers) and Fluid Dynamics and Heat Transfer (2 papers). The work is most often cited by research in Computational Mechanics (411 citations), Pharmaceutical Science (52 citations), Ocean Engineering (90 citations), Mechanical Engineering (208 citations) and Hardware and Architecture (25 citations). Eva Siegmann has collaborated with scholars based in United States, Austria and Germany. Frequent co-authors include Johannes Khinast, Charles Radeke, Dalibor Jajčević, Peter Toson, Pankaj Doshi, N. Govender, Daniel O. Blackwood, Uwe Schmidt, Robert J. Harrison and Benjamin J. Glasser. Their work appears in journals such as International Journal of Pharmaceutics, Advanced Powder Technology, Powder Technology, Chemical Engineering Science 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.