M. S. Neubauer

81.6k total citations
22 papers, 82 citations indexed

About

M. S. Neubauer is a scholar working on Computer Networks and Communications, Nuclear and High Energy Physics and Information Systems and Management. According to data from OpenAlex, M. S. Neubauer has authored 22 papers receiving a total of 82 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Networks and Communications, 10 papers in Nuclear and High Energy Physics and 8 papers in Information Systems and Management. Recurrent topics in M. S. Neubauer's work include Distributed and Parallel Computing Systems (11 papers), Advanced Data Storage Technologies (9 papers) and Particle Detector Development and Performance (8 papers). M. S. Neubauer is often cited by papers focused on Distributed and Parallel Computing Systems (11 papers), Advanced Data Storage Technologies (9 papers) and Particle Detector Development and Performance (8 papers). M. S. Neubauer collaborates with scholars based in United States, Taiwan and Switzerland. M. S. Neubauer's 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 and has published in prestigious 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.

In The Last Decade

M. S. Neubauer

18 papers receiving 81 citations

Peers

M. S. Neubauer

NHEP

CNC

ISM

J. Pivarski United States

M. Paterno United States

T. Hauth Germany

F. Carena Switzerland

N. A. Naumann Switzerland

S. Roiser Switzerland

Maria Girone Switzerland

Benjamin Schwaller United States

G. Dezoort United States

Bok-Gyu Joo United Kingdom

J. Pivarski United States

M. S. Neubauer

56 ×1.6

NHEP

30 ×1.0

CNC

19 ×1.0

10 ×0.7

19 ×1.6

ISM

Citations per year, relative to M. S. Neubauer M. S. Neubauer (= 1×) peers J. Pivarski

Countries citing papers authored by M. S. Neubauer

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of M. S. Neubauer

This figure shows the co-authorship network connecting the top 25 collaborators of M. S. Neubauer. A scholar is included among the top collaborators of M. S. Neubauer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M. S. Neubauer. M. S. Neubauer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Roy, A., et al.. (2025). Evidential deep learning for uncertainty quantification and out-of-distribution detection in jet identification using deep neural networks. Machine Learning Science and Technology. 2 indexed citations

Feickert, M., Daniel S. Katz, M. S. Neubauer, E. Sexton-Kennedy, & G. A. Stewart. (2024). Software Citation in HEP: Current State and Recommendations for the Future. SHILAP Revista de lepidopterología. 295. 8017–8017.

Neubauer, M. S., et al.. (2023). A detailed study of interpretability of deep neural network based top taggers. Machine Learning Science and Technology. 4(3). 35003–35003. 10 indexed citations

Duarte, J., A. Roy, E. A. Huerta, et al.. (2023). FAIR AI models in high energy physics. Machine Learning Science and Technology. 4(4). 45062–45062. 3 indexed citations

Huang, Shi‐Yu, Bo‐Cheng Lai, J. Duarte, et al.. (2023). Low Latency Edge Classification GNN for Particle Trajectory Tracking on FPGAs. 294–298. 1 indexed citations

Neubauer, M. S., A. Roy, & Zijun Wang. (2023). Codebase release 2.0 for UFOManager. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 indexed citations

Bhimji, Wahid, Eli Dart, J. Duarte, et al.. (2023). Snowmass 2021 Computational Frontier CompF4 Topical Group Report Storage and Processing Resource Access. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 7(1).

Neubauer, M. S., A. Roy, & Zijun Wang. (2023). Making digital objects FAIR in high energy physics: An implementation for Universal FeynRules Output (UFO) models. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 indexed citations

Huang, Shi‐Yu, J. Duarte, Markus Julian Atkinson, et al.. (2022). Graph Neural Networks for Charged Particle Tracking on FPGAs. Frontiers in Big Data. 5. 828666–828666. 22 indexed citations

10.

Neubauer, M. S., et al.. (2022). Deep Learning for the Matrix Element Method. Proceedings of 41st International Conference on High Energy physics — PoS(ICHEP2022). 246–246. 1 indexed citations

11.

Roy, A. & M. S. Neubauer. (2022). Interpretability of an Interaction Network for identifying $H \rightarrow b\bar{b}$ jets. Proceedings of 41st International Conference on High Energy physics — PoS(ICHEP2022). 223–223. 2 indexed citations

12.

Choi, K., A. Eckart, M. S. Neubauer, et al.. (2021). Towards Real-World Applications of ServiceX, an Analysis Data Transformation System. SHILAP Revista de lepidopterología. 251. 2053–2053. 2 indexed citations

13.

Gardner, R. W., L. Gray, M. S. Neubauer, et al.. (2020). ServiceX A Distributed, Caching, Columnar Data Delivery Service. SHILAP Revista de lepidopterología. 245. 4043–4043. 6 indexed citations

14.

Huerta, E. A., Roland Haas, Shantenu Jha, M. S. Neubauer, & Daniel S. Katz. (2019). Supporting High-Performance and High-Throughput Computing for Experimental Science. arXiv (Cornell University). 3(1). 7 indexed citations

15.

Belkin, Maxim, et al.. (2018). Container solutions for HPC Systems. arXiv (Cornell University). 1–8. 10 indexed citations

16.

Neubauer, M. S.. (2011). Diboson Production at Colliders. Annual Review of Nuclear and Particle Science. 61(1). 223–250. 5 indexed citations

17.

Neubauer, M. S.. (2009). A fast hardware tracker for the ATLAS trigger system. 3. 1876–1879. 1 indexed citations

18.

Lipeles, E., A. Sill, S. Stonjek, et al.. (2005). Globally Distributed User Analysis Computing at CDF. CERN Document Server (European Organization for Nuclear Research). 1 indexed citations

19.

Kim, Taehyun, et al.. (2004). The CDF central analysis farm. IEEE Transactions on Nuclear Science. 51(3). 892–896. 1 indexed citations

20.

Neubauer, M. S.. (2003). Computing for Run II at CDF. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 502(2-3). 386–390. 2 indexed citations

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.

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