Matthew Halpern
Impact in
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
- Software top 10%
- Software Testing and Debugging Techniques
Papers in
-
- Green IT and Sustainability 5
-
- Caching and Content Delivery 4
- Advanced Data Storage Technologies 2
- IoT and Edge/Fog Computing 1
- Co-authors
- Vijay Janapa Reddi (9 shared papers)Yuhao Zhu (4 shared papers)Amy Cheng Vollmer (1 shared paper)E. Carr Everbach (1 shared paper)Ramesh Peri (1 shared paper)Ting-Wu Chin (2 shared papers)Louis C. Megosh (1 shared paper)Michael S. Floyd (1 shared paper)
- Journals
- IEEE Micro (3 papers)Applied and Environmental Microbiology (1 paper)Molecular Carcinogenesis (1 paper)Proceedings of the AAAI Conference on Human Computation and Crowdsourcing (1 paper)
- Partner nations
- United StatesTaiwanMexico
In The Last Decade
Matthew Halpern
13 papers receiving 465 citations
Peers
Comparison fields: 5 of 88
- Hardware and Architecture 112
- Software 36
- Computer Networks and Communications 213
- Signal Processing 49
- Computer Vision and Pattern Recognition 79
Countries citing papers authored by Matthew Halpern
This map shows the geographic impact of Matthew Halpern'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 Matthew Halpern with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Halpern more than expected).
Fields of papers citing papers by Matthew Halpern
This network shows the impact of papers produced by Matthew Halpern. 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 Matthew Halpern. The network helps show where Matthew Halpern may publish in the future.
Co-authors
The 18 scholars most cited alongside Matthew Halpern, 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 | 2016 | 104 | |
| 2 | 2015 | 85 | |
| 3 | 1998 | 62 | |
| 4 | 2015 | 55 | |
| 5 | 2017 | 37 | |
| 6 | 2015 | 37 | |
| 7 | 2015 | 29 | |
| 8 | 1998 | 24 | |
| 9 | 2015 | 21 | |
| 10 | 2016 | 11 | |
| 11 | 2018 | 9 | |
| 12 | Storage on Your SmartPhone Uses More Energy Than You Think | 2017 | 5 |
| 13 | 2003 | 4 |
About Matthew Halpern
Matthew Halpern is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Hardware and Architecture, Information Systems and Artificial Intelligence, having authored 13 papers that have together received 483 indexed citations. Recurring topics across this work include Green IT and Sustainability (5 papers), Caching and Content Delivery (4 papers), Parallel Computing and Optimization Techniques (3 papers), Cloud Computing and Resource Management (2 papers), Advanced Data Storage Technologies (2 papers), Polyamine Metabolism and Applications (1 paper), Microbial Inactivation Methods (1 paper) and IoT and Edge/Fog Computing (1 paper). The work is most often cited by research in Hardware and Architecture (112 citations), Software (36 citations), Computer Networks and Communications (213 citations), Signal Processing (49 citations) and Computer Vision and Pattern Recognition (79 citations). Matthew Halpern has collaborated with scholars based in United States, Taiwan and Mexico. Frequent co-authors include Vijay Janapa Reddi, Yuhao Zhu, Amy Cheng Vollmer, E. Carr Everbach, Ramesh Peri, Ting-Wu Chin, Louis C. Megosh, Michael S. Floyd, Jingwen Leng and Charles Lefurgy. Their work appears in journals such as IEEE Micro, Applied and Environmental Microbiology, Molecular Carcinogenesis and Proceedings of the AAAI Conference on Human Computation and Crowdsourcing.
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.