S. Neubert
Impact in
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- Scientific Computing and Data Management
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- Big Data and Business Intelligence
- Business Process Modeling and Analysis
Papers in
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- Scientific Computing and Data Management 3
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- Advanced Data Storage Technologies 1
- Distributed and Parallel Computing Systems 1
- Co-authors
- Kerstin Thurow (2 shared papers)Norbert Stoll (2 shared papers)Thomas Roddelkopf (1 shared paper)C. Burr (2 shared papers)Heidi Fleischer (1 shared paper)M. Cattaneo (1 shared paper)C. Aidala (1 shared paper)Bernd Stannowski (1 shared paper)
- Journals
- SLAS TECHNOLOGY (2 papers)JuSER (Forschungszentrum Jülich) (1 paper)CERN Document Server (European Organization for Nuclear Research) (2 papers)AIP conference proceedings (1 paper)
- Partner nations
- GermanySwitzerlandNetherlands
In The Last Decade
S. Neubert
5 papers receiving 22 citations
Peers
Comparison fields: 5 of 23
- Information Systems and Management 6
- Management Information Systems 5
- Industrial and Manufacturing Engineering 2
- Control and Systems Engineering 4
- Nuclear and High Energy Physics 2
Countries citing papers authored by S. Neubert
This map shows the geographic impact of S. Neubert'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 S. Neubert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Neubert more than expected).
Fields of papers citing papers by S. Neubert
This network shows the impact of papers produced by S. Neubert. 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 S. Neubert. The network helps show where S. Neubert may publish in the future.
Co-authors
The 20 scholars most cited alongside S. Neubert, 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 | 2016 | 11 | |
| 2 | 2020 | 6 | |
| 3 | 2022 | 3 | |
| 4 | Enhancement of a-Si/µc-Si solar cell performance made in an industrial PECVD reactor: The role of chamber history and in situ diagnostics | 2011 | 1 |
| 5 | 2023 | 1 | |
| 6 | 2010 | 0 |
About S. Neubert
S. Neubert is a scholar working on Information Systems and Management, Computer Networks and Communications, Artificial Intelligence, Nuclear and High Energy Physics and General Health Professions, having authored 6 papers that have together received 22 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (3 papers), Particle physics theoretical and experimental studies (2 papers), Hermeneutics and Narrative Identity (1 paper), Research Data Management Practices (1 paper), AI-based Problem Solving and Planning (1 paper), Advanced Data Storage Technologies (1 paper), Aging, Elder Care, and Social Issues (1 paper) and Distributed and Parallel Computing Systems (1 paper). The work is most often cited by research in Information Systems and Management (6 citations), Management Information Systems (5 citations), Industrial and Manufacturing Engineering (2 citations), Control and Systems Engineering (4 citations) and Nuclear and High Energy Physics (2 citations). S. Neubert has collaborated with scholars based in Germany, Switzerland and Netherlands. Frequent co-authors include Kerstin Thurow, Norbert Stoll, Thomas Roddelkopf, C. Burr, Heidi Fleischer, M. Cattaneo, C. Aidala, Bernd Stannowski, M. Rohde and B. Rau. Their work appears in journals such as SLAS TECHNOLOGY, JuSER (Forschungszentrum Jülich), CERN Document Server (European Organization for Nuclear Research) and AIP conference proceedings.
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.