H. Pi
Impact in
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- Advanced Data Storage Technologies
- Distributed and Parallel Computing Systems
- Caching and Content Delivery
- IoT and Edge/Fog Computing
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- Parallel Computing and Optimization Techniques
Papers in
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- Distributed and Parallel Computing Systems 6
- Advanced Data Storage Technologies 4
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- Scientific Computing and Data Management 2
- Co-authors
- I. Sfiligoi (6 shared papers)J. Rohlf (1 shared paper)Frank Wuerthwein (3 shared papers)B. Holzman (2 shared papers)Abhishek Rana (1 shared paper)K. Bloom (1 shared paper)Brian Bockelman (3 shared papers)S. Padhi (1 shared paper)
- Journals
- The European Physical Journal C (1 paper)Neurocomputing (1 paper)Journal of Physics Conference Series (4 papers)CaltechAUTHORS (California Institute of Technology) (1 paper)Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (2 papers)
- Partner nations
- United StatesChinaSwitzerland
In The Last Decade
H. Pi
8 papers receiving 35 citations
Peers
Comparison fields: 5 of 20
- Computer Networks and Communications 28
- Hardware and Architecture 8
- Information Systems and Management 7
- Information Systems 17
- Nuclear and High Energy Physics 5
Countries citing papers authored by H. Pi
This map shows the geographic impact of H. Pi'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 H. Pi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. Pi more than expected).
Fields of papers citing papers by H. Pi
This network shows the impact of papers produced by H. Pi. 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 H. Pi. The network helps show where H. Pi may publish in the future.
Co-authors
The 25 scholars most cited alongside H. Pi, 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 | 2009 | 17 | |
| 2 | 2010 | 9 | |
| 3 | 2006 | 4 | |
| 4 | 2011 | 3 | |
| 5 | 2013 | 3 | |
| 6 | 2011 | 2 | |
| 7 | 2014 | 2 | |
| 8 | 2011 | 1 | |
| 9 | 2025 | 0 | |
| 10 | 2009 | 0 |
About H. Pi
H. Pi is a scholar working on Computer Networks and Communications, Information Systems and Management, Atomic and Molecular Physics, and Optics, Hardware and Architecture and Nuclear and High Energy Physics, having authored 10 papers that have together received 41 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (6 papers), Advanced Data Storage Technologies (4 papers), Parallel Computing and Optimization Techniques (2 papers), Scientific Computing and Data Management (2 papers), Particle Detector Development and Performance (2 papers), AI-based Problem Solving and Planning (1 paper), Cloud Computing and Resource Management (1 paper) and Adaptive optics and wavefront sensing (1 paper). The work is most often cited by research in Computer Networks and Communications (28 citations), Hardware and Architecture (8 citations), Information Systems and Management (7 citations), Information Systems (17 citations) and Nuclear and High Energy Physics (5 citations). H. Pi has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include I. Sfiligoi, J. Rohlf, Frank Wuerthwein, B. Holzman, Abhishek Rana, K. Bloom, Brian Bockelman, S. Padhi, D. Spiga and O. Gutsche. Their work appears in journals such as The European Physical Journal C, Neurocomputing, Journal of Physics Conference Series, CaltechAUTHORS (California Institute of Technology) and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.
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.