Daniel A. Prener
Impact in
- Hardware and Architecture top 2%
- Parallel Computing and Optimization Techniques
- Embedded Systems Design Techniques
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- Advanced Data Storage Technologies
- Interconnection Networks and Systems
- Distributed and Parallel Computing Systems
Papers in
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- Parallel Computing and Optimization Techniques 6
- Embedded Systems Design Techniques 4
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- Advanced Data Storage Technologies 2
- Interconnection Networks and Systems 2
- Distributed systems and fault tolerance 1
- Co-authors
- Ravi Nair (3 shared papers)Zehra Sura (3 shared papers)Vijayalakshmi Srinivasan (2 shared papers)Michael Gschwind (2 shared papers)Byoungro So (2 shared papers)Kathryn O’Brien (2 shared papers)Peng Zhao (2 shared papers)Tao Zhang (1 shared paper)
- Partner nations
- United StatesCanada
In The Last Decade
Daniel A. Prener
9 papers receiving 332 citations
Peers
Comparison fields: 5 of 34
- Hardware and Architecture 263
- Computer Networks and Communications 225
- Electrical and Electronic Engineering 109
- Signal Processing 15
- Computational Theory and Mathematics 21
Countries citing papers authored by Daniel A. Prener
This map shows the geographic impact of Daniel A. Prener'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 Daniel A. Prener with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel A. Prener more than expected).
Fields of papers citing papers by Daniel A. Prener
This network shows the impact of papers produced by Daniel A. Prener. 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 Daniel A. Prener. The network helps show where Daniel A. Prener may publish in the future.
Co-authors
The 22 scholars most cited alongside Daniel A. Prener, 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 | 2005 | 114 | |
| 2 | 2006 | 91 | |
| 3 | 2016 | 67 | |
| 4 | 2012 | 55 | |
| 5 | 1981 | 22 | |
| 6 | 2008 | 3 | |
| 7 | 1979 | 2 | |
| 8 | 1964 | 2 | |
| 9 | 1979 | 1 |
About Daniel A. Prener
Daniel A. Prener is a scholar working on Hardware and Architecture, Computer Networks and Communications, Electrical and Electronic Engineering, Computer Science Applications and Infectious Diseases, having authored 9 papers that have together received 357 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (6 papers), Embedded Systems Design Techniques (4 papers), Advanced Data Storage Technologies (2 papers), Interconnection Networks and Systems (2 papers), Ferroelectric and Negative Capacitance Devices (1 paper), VLSI and FPGA Design Techniques (1 paper), Teaching and Learning Programming (1 paper) and Distributed systems and fault tolerance (1 paper). The work is most often cited by research in Hardware and Architecture (263 citations), Computer Networks and Communications (225 citations), Electrical and Electronic Engineering (109 citations), Signal Processing (15 citations) and Computational Theory and Mathematics (21 citations). Daniel A. Prener has collaborated with scholars based in United States and Canada. Frequent co-authors include Ravi Nair, Zehra Sura, Vijayalakshmi Srinivasan, Michael Gschwind, Byoungro So, Kathryn O’Brien, Peng Zhao, Tao Zhang, Kevin O’Brien and Tong Chen. Their work appears in journals such as IBM Systems Journal and Microprocessors and Microsystems.
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.