Malachi Schram
Impact in
- Nuclear and High Energy Physics top 10%
- Nuclear physics research studies
- Particle physics theoretical and experimental studies
- Particle Detector Development and Performance
- Radiation top 10%
- Nuclear Physics and Applications
Papers in
-
- Particle Detector Development and Performance 9
- Particle physics theoretical and experimental studies 7
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- Distributed and Parallel Computing Systems 9
- Advanced Data Storage Technologies 6
- Co-authors
- W. Nazarewicz (2 shared papers)Markus Diefenthaler (2 shared papers)Dean Lee (2 shared papers)Xin-Nian Wang (2 shared papers)M. S. Smith (2 shared papers)T. Horn (2 shared papers)Michelle Kuchera (2 shared papers)Kostas Orginos (2 shared papers)
- Journals
- Machine Learning Science and Technology (5 papers)Physical Review Accelerators and Beams (2 papers)Additive manufacturing (1 paper)Journal of Hydrology (1 paper)IEEE Software (1 paper)
- Partner nations
- United StatesJapanPoland
In The Last Decade
Malachi Schram
36 papers receiving 379 citations
Malachi Schram's Hit Papers
Peers
Comparison fields: 5 of 81
- Nuclear and High Energy Physics 162
- Radiation 79
- Information Systems and Management 33
- Aerospace Engineering 73
- Structural Biology 4
Countries citing papers authored by Malachi Schram
This map shows the geographic impact of Malachi Schram'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 Malachi Schram with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Malachi Schram more than expected).
Fields of papers citing papers by Malachi Schram
This network shows the impact of papers produced by Malachi Schram. 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 Malachi Schram. The network helps show where Malachi Schram may publish in the future.
Co-authors
The 25 scholars most cited alongside Malachi Schram, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Colloquium: Machine learning in nuclear physics Hit paper breakdown → | 2022 | 140 |
| 2 | 2022 | 32 | |
| 3 | 2020 | 28 | |
| 4 | 2021 | 27 | |
| 5 | 2022 | 19 | |
| 6 | 2020 | 17 | |
| 7 | 2015 | 14 | |
| 8 | 2020 | 10 | |
| 9 | 2020 | 8 | |
| 10 | 2022 | 8 | |
| 11 | 2023 | 7 | |
| 12 | 2025 | 7 | |
| 13 | 2024 | 7 | |
| 14 | 2015 | 6 | |
| 15 | 2021 | 6 | |
| 16 | 2023 | 6 | |
| 17 | 2016 | 6 | |
| 18 | 2023 | 5 | |
| 19 | 2022 | 5 | |
| 20 | Smoking in the workplace: a review of human and operating costs. | 1982 | 4 |
About Malachi Schram
Malachi Schram is a scholar working on Nuclear and High Energy Physics, Computer Networks and Communications, Artificial Intelligence, Information Systems and Information Systems and Management, having authored 42 papers that have together received 390 indexed citations. Recurring topics across this work include Particle Detector Development and Performance (9 papers), Distributed and Parallel Computing Systems (9 papers), Particle physics theoretical and experimental studies (7 papers), Advanced Data Storage Technologies (6 papers), Scientific Computing and Data Management (6 papers), Cloud Computing and Resource Management (4 papers), Nuclear Physics and Applications (3 papers) and Anomaly Detection Techniques and Applications (3 papers). The work is most often cited by research in Nuclear and High Energy Physics (162 citations), Radiation (79 citations), Information Systems and Management (33 citations), Aerospace Engineering (73 citations) and Structural Biology (4 citations). Malachi Schram has collaborated with scholars based in United States, Japan and Poland. Frequent co-authors include W. Nazarewicz, Markus Diefenthaler, Dean Lee, Xin-Nian Wang, M. S. Smith, T. Horn, Michelle Kuchera, Kostas Orginos, A. Boehnlein and Long-Gang Pang. Their work appears in journals such as Machine Learning Science and Technology, Physical Review Accelerators and Beams, Additive manufacturing, Journal of Hydrology and IEEE Software.
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.