M. S. Neubauer
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- Particle Detector Development and Performance 8
- Particle physics theoretical and experimental studies 7
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- Scientific Computing and Data Management 7
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- Distributed and Parallel Computing Systems 11
- Advanced Data Storage Technologies 9
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- Research Data Management Practices 3
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- Machine Learning in Healthcare 2
- Explainable Artificial Intelligence (XAI) 2
- Journals
- SHILAP Revista de lepidopterología (3 papers)Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment (1 paper)IEEE Transactions on Nuclear Science (1 paper)
- Partner nations
- United StatesTaiwanSwitzerland
In The Last Decade
M. S. Neubauer
18 papers receiving 81 citations
Peers
Comparison fields: 5 of 26
- Nuclear and High Energy Physics 35
- Information Systems and Management 12
- Hardware and Architecture 10
- Computer Networks and Communications 29
- Information Systems 15
Countries citing papers authored by M. S. Neubauer
This map shows the geographic impact of M. S. Neubauer'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 M. S. Neubauer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. S. Neubauer more than expected).
Fields of papers citing papers by M. S. Neubauer
This network shows the impact of papers produced by M. S. Neubauer. 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 M. S. Neubauer. The network helps show where M. S. Neubauer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside M. S. Neubauer, 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 | 2025 | 2 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 10 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 0 | |
| 8 | 2023 | 1 | |
| 9 | 2022 | 22 | |
| 10 | 2022 | 1 | |
| 11 | 2022 | 2 | |
| 12 | 2021 | 2 | |
| 13 | 2020 | 6 | |
| 14 | 2019 | 7 | |
| 15 | 2018 | 10 | |
| 16 | 2011 | 5 | |
| 17 | 2009 | 1 | |
| 18 | 2005 | 1 | |
| 19 | 2004 | 1 | |
| 20 | 2003 | 2 |
About M. S. Neubauer
M. S. Neubauer is a scholar working on Information Systems and Management, Nuclear and High Energy Physics and Computer Networks and Communications, having authored 22 papers that have together received 82 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (11 papers), Advanced Data Storage Technologies (9 papers), Particle Detector Development and Performance (8 papers), Particle physics theoretical and experimental studies (7 papers), Scientific Computing and Data Management (7 papers), Research Data Management Practices (3 papers), Machine Learning in Healthcare (2 papers) and Explainable Artificial Intelligence (XAI) (2 papers). The work is most often cited by research in Nuclear and High Energy Physics (35 citations), Information Systems and Management (12 citations) and Hardware and Architecture (10 citations). M. S. Neubauer has collaborated with scholars based in United States, Taiwan and Switzerland. Frequent co-authors include A. Roy, E. A. Huerta, Roland Haas, Scott Hauck, Bo‐Cheng Lai, J. Duarte, Shi‐Yu Huang, Daniel S. Katz, S.‐C. Hsu and M. L. Proffitt. Their work appears in journals such as SHILAP Revista de lepidopterología, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment and IEEE Transactions on Nuclear Science.
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.