Matthew Poremba
- Computer Networks and Communications top 5%
- Hardware and Architecture top 2%
- Electrical and Electronic Engineering
- Information Systems
- Computer Vision and Pattern Recognition
- Co-authors
- Yuan XieTao ZhangOnur KayıranJieming YinGabriel H. LohNatalie Enright JergerZhifeng LinBradford M. Beckmann
- Topics
- Parallel Computing and Optimization Techniques (10 papers)Interconnection Networks and Systems (7 papers)Advanced Memory and Neural Computing (6 papers)
- Cited by
- Hardware and ArchitectureComputer Networks and CommunicationsElectrical and Electronic Engineering
- Journals
- American Journal of Health-System PharmacyIEEE Computer Architecture LettersAir Medical Journal
- Partner nations
- United StatesCanadaChina
In The Last Decade
Matthew Poremba
12 papers receiving 393 citations
Peers
Comparison fields: 5 of 34
- Computer Networks and Communications 292
- Hardware and Architecture 279
- Electrical and Electronic Engineering 211
- Information Systems 37
- Computer Vision and Pattern Recognition 34
Countries citing papers authored by Matthew Poremba
This map shows the geographic impact of Matthew Poremba'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 Poremba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Poremba more than expected).
Fields of papers citing papers by Matthew Poremba
This network shows the impact of papers produced by Matthew Poremba. 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 Poremba. The network helps show where Matthew Poremba may publish in the future.
Co-authorship network of co-authors of Matthew Poremba
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Poremba. A scholar is included among the top collaborators of Matthew Poremba 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 Matthew Poremba. Matthew Poremba is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 47 | |
| 4 | 70 | |
| 5 | 13 | |
| 6 | 7 | |
| 7 | 50 | |
| 8 | 4 | |
| 9 | 12 | |
| 10 | 2 | |
| 11 | Architecting byte-addressable non-volatile memories for main memory | 0 |
| 12 | 168 | |
| 13 | 18 | |
| 14 | 9 |
About Matthew Poremba
Matthew Poremba is a scholar working on Hardware and Architecture, Computer Networks and Communications and Geriatrics and Gerontology, having authored 14 papers that have together received 403 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (10 papers), Interconnection Networks and Systems (7 papers) and Advanced Memory and Neural Computing (6 papers). The work is most often cited by research in Hardware and Architecture (279 citations), Computer Networks and Communications (292 citations) and Electrical and Electronic Engineering (211 citations). Matthew Poremba has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Yuan Xie, Tao Zhang, Onur Kayıran, Jieming Yin, Gabriel H. Loh, Natalie Enright Jerger, Zhifeng Lin, Bradford M. Beckmann, Jing Xie and Michael Schulte. Their work appears in journals such as American Journal of Health-System Pharmacy, IEEE Computer Architecture Letters and Air Medical Journal.
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.