M. Paterno

8.0k total citations
27 papers, 119 citations indexed

About

M. Paterno 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. Paterno has authored 27 papers receiving a total of 119 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Networks and Communications, 12 papers in Nuclear and High Energy Physics and 8 papers in Information Systems and Management. Recurrent topics in M. Paterno's work include Advanced Data Storage Technologies (17 papers), Distributed and Parallel Computing Systems (11 papers) and Particle Detector Development and Performance (10 papers). M. Paterno is often cited by papers focused on Advanced Data Storage Technologies (17 papers), Distributed and Parallel Computing Systems (11 papers) and Particle Detector Development and Performance (10 papers). M. Paterno collaborates with scholars based in United States, Switzerland and New Zealand. M. Paterno's co-authors include Jim Kowalkowski, Saba Sehrish, L. Garren, M. Fischler, C. Green, R. Rechenmacher, K. Biery, Salman Habib, J. Apostolakis and James Amundson and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and IEEE Transactions on Nuclear Science.

In The Last Decade

M. Paterno

22 papers receiving 117 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
M. Paterno United States 7 69 48 34 19 17 27 119
R. Walker United States 7 122 1.8× 39 0.8× 67 2.0× 16 0.8× 19 1.1× 22 151
I. Legrand United States 7 99 1.4× 19 0.4× 28 0.8× 19 1.0× 37 2.2× 18 129
A C Smith Switzerland 6 131 1.9× 45 0.9× 71 2.1× 17 0.9× 27 1.6× 11 163
S. Metson United Kingdom 7 133 1.9× 42 0.9× 60 1.8× 13 0.7× 29 1.7× 18 151
I. Vukotić United States 6 109 1.6× 30 0.6× 33 1.0× 13 0.7× 14 0.8× 26 127
Frank Wuerthwein United States 7 112 1.6× 26 0.5× 51 1.5× 20 1.1× 40 2.4× 24 142
M. S. Neubauer United States 6 29 0.4× 35 0.7× 12 0.4× 10 0.5× 15 0.9× 22 82
P. van Gemmeren United States 8 128 1.9× 79 1.6× 53 1.6× 16 0.8× 11 0.6× 33 148
A. Vaniachine United States 6 86 1.2× 31 0.6× 35 1.0× 21 1.1× 13 0.8× 16 100
J. Elmsheuser Switzerland 7 111 1.6× 39 0.8× 64 1.9× 12 0.6× 17 1.0× 32 131

Countries citing papers authored by M. Paterno

Since Specialization
Citations

This map shows the geographic impact of M. Paterno'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. Paterno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Paterno more than expected).

Fields of papers citing papers by M. Paterno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Paterno. 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. Paterno. The network helps show where M. Paterno may publish in the future.

Co-authorship network of co-authors of M. Paterno

This figure shows the co-authorship network connecting the top 25 collaborators of M. Paterno. A scholar is included among the top collaborators of M. Paterno 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. Paterno. M. Paterno is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Lee, Sunwoo, Kaiyuan Hou, Saba Sehrish, et al.. (2021). A case study on parallel HDF5 dataset concatenation for high energy physics data analysis. Parallel Computing. 110. 102877–102877. 6 indexed citations
2.
Groh, M., N. J. Buchanan, D. Doyle, et al.. (2021). PandAna: A Python Analysis Framework for Scalable High Performance Computing in High Energy Physics. SHILAP Revista de lepidopterología. 251. 3033–3033.
3.
Paterno, M., et al.. (2021). PAGANI. ODU Digital Commons (Old Dominion University). 1–13. 2 indexed citations
4.
Green, Chris, James Amundson, L. Garren, P. Gartung, & M. Paterno. (2019). Spack-Based Packaging and Development for HEP. SHILAP Revista de lepidopterología. 214. 5013–5013. 3 indexed citations
5.
Paterno, M., Jim Kowalkowski, & Saba Sehrish. (2019). Parallel Event Selection on HPC Systems. SHILAP Revista de lepidopterología. 214. 4059–4059. 1 indexed citations
6.
Dorier, Matthieu, Galen Shipman, Jérôme Soumagne, et al.. (2018). Methodology for the Rapid Development of Scalable HPC Data Services. 76–87. 10 indexed citations
7.
Sehrish, Saba, Jim Kowalkowski, M. Paterno, & C. Green. (2017). Python and HPC for High Energy Physics Data Analyses. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1–8. 5 indexed citations
8.
Sehrish, Saba, Jim Kowalkowski, & M. Paterno. (2017). Spark and HPC for High Energy Physics Data Analyses. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1048–1057. 9 indexed citations
9.
Madduri, Ravi, Álex Rodríguez, Thomas Uram, et al.. (2015). PDACS: A Portal for Data Analysis Services for Cosmological Simulations. Computing in Science & Engineering. 17(5). 18–26. 2 indexed citations
10.
Dotti, A., V. D. Elvira, G. Folger, et al.. (2015). Geant4 Computing Performance Benchmarking and Monitoring. Journal of Physics Conference Series. 664(6). 62021–62021. 2 indexed citations
11.
Zuntz, J., M. Paterno, Elise Jennings, et al.. (2014). CosmoSIS: Cosmological parameter estimation. Astrophysics Source Code Library.
12.
Canal, Philippe, et al.. (2014). High energy electromagnetic particle transportation on the GPU. Journal of Physics Conference Series. 513(5). 52013–52013. 4 indexed citations
13.
Chard, Ryan, Saba Sehrish, Álex Rodríguez, et al.. (2014). PDACS - A Portal for Data Analysis Services for Cosmological Simulations. 27. 30–33. 7 indexed citations
14.
He, Jun, Jim Kowalkowski, M. Paterno, et al.. (2013). Layout-aware scientific computing: A case study using the MILC code. Journal of Computational Science. 4(6). 496–506. 1 indexed citations
15.
Biery, K., C. Green, Jim Kowalkowski, M. Paterno, & R. Rechenmacher. (2013). artdaq: An Event-Building, Filtering, and Processing Framework. IEEE Transactions on Nuclear Science. 60(5). 3764–3771. 6 indexed citations
16.
Kowalkowski, Jim, et al.. (2012). The art framework. Journal of Physics Conference Series. 396(2). 22020–22020. 24 indexed citations
17.
Lukhanin, G., K. Biery, M. J. Frank, et al.. (2012). Application of Control System Studio for the NOνA Detector Control System.. Journal of Physics Conference Series. 396(6). 62012–62012.
18.
Fischler, M., et al.. (2012). NOvA Event Building, Buffering and Data-Driven Triggering From Within the DAQ System. Journal of Physics Conference Series. 396(1). 12020–12020. 1 indexed citations
19.
He, Jun, Jim Kowalkowski, M. Paterno, et al.. (2011). Layout-aware scientific computing. 21–24. 7 indexed citations
20.
Jones, Christopher, Jim Kowalkowski, M. Paterno, et al.. (2010). File level provenance tracking in CMS. Journal of Physics Conference Series. 219(3). 32011–32011. 5 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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