Daniel Becker
- Hardware and Architecture top 2%
- Parallel Computing and Optimization Techniques 3
- Embedded Systems Design Techniques 2
- Network Packet Processing and Optimization 1
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- Interconnection Networks and Systems 8
- Network Traffic and Congestion Control 2
- Software-Defined Networks and 5G 1
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- Supercapacitor Materials and Fabrication 3
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- Advanced Memory and Neural Computing 2
- Information Systems top 10%
- Co-authors
- William J. DallyGeorge MichelogiannakisNan JiangJohn KimJames BalfourBrian TowlesGerhard Wunder
- Cited by
- Hardware and ArchitectureComputer Networks and CommunicationsElectronic, Optical and Magnetic Materials
- Journals
- IEEE Computer Architecture Letters (1 paper)IEEE Transactions on Computers (1 paper)DiVA at Umeå University (Umeå University) (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Daniel Becker
8 papers receiving 731 citations
Hit Papers
Peers
Comparison fields: 5 of 34
- Hardware and Architecture 446
- Computer Networks and Communications 639
- Electronic, Optical and Magnetic Materials 122
- Electrical and Electronic Engineering 367
- Information Systems 53
Countries citing papers authored by Daniel Becker
This map shows the geographic impact of Daniel Becker'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 Becker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Becker more than expected).
Fields of papers citing papers by Daniel Becker
This network shows the impact of papers produced by Daniel Becker. 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 Becker. The network helps show where Daniel Becker may publish in the future.
Co-authorship network
The 7 scholars most cited alongside Daniel Becker, 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 | 2023 | 0 | |
| 2 | A detailed and flexible cycle-accurate Network-on-Chip simulatorbreakdown → | 2013 | 549 |
| 3 | 2013 | 21 | |
| 4 | 2012 | 22 | |
| 5 | 2012 | 53 | |
| 6 | 2011 | 30 | |
| 7 | 2011 | 6 | |
| 8 | 2010 | 12 | |
| 9 | 2009 | 54 |
About Daniel Becker
Daniel Becker is a scholar working on Hardware and Architecture, Computer Networks and Communications, Electronic, Optical and Magnetic Materials, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 9 papers that have together received 747 indexed citations. Recurring topics across this work include Interconnection Networks and Systems (8 papers), Supercapacitor Materials and Fabrication (3 papers), Parallel Computing and Optimization Techniques (3 papers), Advanced Memory and Neural Computing (2 papers), Network Traffic and Congestion Control (2 papers), Embedded Systems Design Techniques (2 papers), Software-Defined Networks and 5G (1 paper) and Network Packet Processing and Optimization (1 paper). The work is most often cited by research in Hardware and Architecture (446 citations), Computer Networks and Communications (639 citations), Electronic, Optical and Magnetic Materials (122 citations), Electrical and Electronic Engineering (367 citations) and Information Systems (53 citations). Daniel Becker has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include William J. Dally, George Michelogiannakis, Nan Jiang, John Kim, James Balfour, Brian Towles and Gerhard Wunder. Their work appears in journals such as IEEE Computer Architecture Letters, IEEE Transactions on Computers and DiVA at Umeå University (Umeå University).
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.