Dan Phung
Impact in
- Signal Processing top 10%
- Blind Source Separation Techniques
-
- Distributed systems and fault tolerance
- Software System Performance and Reliability
- Distributed and Parallel Computing Systems
Papers in
-
- Software Engineering Techniques and Practices 2
- Cloud Computing and Resource Management 2
- Software Engineering Research 2
-
- Software System Performance and Reliability 2
- Co-authors
- Gail E. Kaiser (6 shared papers)Yixin Diao (2 shared papers)S. Parekh (2 shared papers)Rean Griffith (2 shared papers)Barak A. Pearlmutter (3 shared papers)Akaysha C. Tang (3 shared papers)Oren Laadan (3 shared papers)Jason Nieh (3 shared papers)
- Journals
- Neural Computation (1 paper)IEEE Journal on Selected Areas in Communications (1 paper)ACM SIGOPS Operating Systems Review (1 paper)ACM SIGCSE Bulletin (1 paper)Maynooth University ePrints and eTheses Archive (Maynooth University) (1 paper)
- Partner nations
- United StatesItaly
In The Last Decade
Dan Phung
12 papers receiving 293 citations
Peers
Comparison fields: 5 of 41
- Signal Processing 84
- Computer Networks and Communications 162
- Hardware and Architecture 44
- Information Systems 124
- Cognitive Neuroscience 77
Countries citing papers authored by Dan Phung
This map shows the geographic impact of Dan Phung'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 Dan Phung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Phung more than expected).
Fields of papers citing papers by Dan Phung
This network shows the impact of papers produced by Dan Phung. 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 Dan Phung. The network helps show where Dan Phung may publish in the future.
Co-authors
The 14 scholars most cited alongside Dan Phung, 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 | 2002 | 79 | |
| 2 | 2005 | 65 | |
| 3 | 2005 | 65 | |
| 4 | 2007 | 40 | |
| 5 | 2005 | 25 | |
| 6 | 2008 | 15 | |
| 7 | 2008 | 10 | |
| 8 | Localization of Independent Components from Magnetoencephalography | 2000 | 7 |
| 9 | 2007 | 6 | |
| 10 | 2005 | 5 | |
| 11 | Independent Components of Magnetoencephalography, Part I: Localization | 2000 | 2 |
| 12 | 2004 | 1 |
About Dan Phung
Dan Phung is a scholar working on Information Systems, Computer Networks and Communications, Hardware and Architecture, Computer Vision and Pattern Recognition and Information Systems and Management, having authored 12 papers that have together received 320 indexed citations. Recurring topics across this work include Software Engineering Techniques and Practices (2 papers), Software System Performance and Reliability (2 papers), Cloud Computing and Resource Management (2 papers), Neural dynamics and brain function (2 papers), Image and Video Quality Assessment (2 papers), Blind Source Separation Techniques (2 papers), EEG and Brain-Computer Interfaces (2 papers) and Software Engineering Research (2 papers). The work is most often cited by research in Signal Processing (84 citations), Computer Networks and Communications (162 citations), Hardware and Architecture (44 citations), Information Systems (124 citations) and Cognitive Neuroscience (77 citations). Dan Phung has collaborated with scholars based in United States and Italy. Frequent co-authors include Gail E. Kaiser, Yixin Diao, S. Parekh, Rean Griffith, Barak A. Pearlmutter, Akaysha C. Tang, Oren Laadan, Jason Nieh, Bethany C. Reeb and Joseph L. Hellerstein. Their work appears in journals such as Neural Computation, IEEE Journal on Selected Areas in Communications, ACM SIGOPS Operating Systems Review, ACM SIGCSE Bulletin and Maynooth University ePrints and eTheses Archive (Maynooth 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.