Daniel Gyllstrom
Impact in
- Signal Processing top 5%
- Data Management and Algorithms
- Time Series Analysis and Forecasting
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- Advanced Database Systems and Queries
- Distributed systems and fault tolerance
- Software-Defined Networks and 5G
Papers in
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- Advanced Database Systems and Queries 3
- Software-Defined Networks and 5G 3
- Software System Performance and Reliability 1
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- Smart Grid Security and Resilience 2
- Co-authors
- Yanlei Diao (3 shared papers)Neil Immerman (2 shared papers)Jim Kurose (3 shared papers)Eugene Wu (1 shared paper)Elisha Rosensweig (1 shared paper)Sudarshan Vasudevan (1 shared paper)Ethan Katsh (1 shared paper)Gerome Miklau (1 shared paper)
- Journals
- Lecture notes in computer science (1 paper)ScholarWorks@UMassAmherst (University of Massachusetts Amherst) (1 paper)Scholarworks (University of Massachusetts Amherst) (1 paper)Conference on Innovative Data Systems Research (1 paper)
- Partner nations
- United States
In The Last Decade
Daniel Gyllstrom
7 papers receiving 418 citations
Peers
Comparison fields: 5 of 32
- Signal Processing 226
- Computer Networks and Communications 385
- Artificial Intelligence 163
- Information Systems 99
- Management Science and Operations Research 32
Countries citing papers authored by Daniel Gyllstrom
This map shows the geographic impact of Daniel Gyllstrom'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 Gyllstrom with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Gyllstrom more than expected).
Fields of papers citing papers by Daniel Gyllstrom
This network shows the impact of papers produced by Daniel Gyllstrom. 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 Gyllstrom. The network helps show where Daniel Gyllstrom may publish in the future.
Co-authors
The 12 scholars most cited alongside Daniel Gyllstrom, 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 | 2008 | 290 | |
| 2 | 2008 | 74 | |
| 3 | 2014 | 34 | |
| 4 | SASE: Complex Event Processing over Streams (Demo). | 2007 | 21 |
| 5 | 2012 | 12 | |
| 6 | 2006 | 10 | |
| 7 | 2010 | 2 | |
| 8 | 2020 | 0 |
About Daniel Gyllstrom
Daniel Gyllstrom is a scholar working on Computer Networks and Communications, Control and Systems Engineering, Signal Processing, Artificial Intelligence and Electrical and Electronic Engineering, having authored 8 papers that have together received 443 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (3 papers), Software-Defined Networks and 5G (3 papers), Data Management and Algorithms (2 papers), Smart Grid Security and Resilience (2 papers), Advanced Optical Network Technologies (1 paper), Software System Performance and Reliability (1 paper), Network Packet Processing and Optimization (1 paper) and Artificial Intelligence in Law (1 paper). The work is most often cited by research in Signal Processing (226 citations), Computer Networks and Communications (385 citations), Artificial Intelligence (163 citations), Information Systems (99 citations) and Management Science and Operations Research (32 citations). Daniel Gyllstrom has collaborated with scholars based in United States. Frequent co-authors include Yanlei Diao, Neil Immerman, Jim Kurose, Eugene Wu, Elisha Rosensweig, Sudarshan Vasudevan, Ethan Katsh, Gerome Miklau, Leon J. Osterweil and Lori A. Clarke. Their work appears in journals such as Lecture notes in computer science, ScholarWorks@UMassAmherst (University of Massachusetts Amherst), Scholarworks (University of Massachusetts Amherst) and Conference on Innovative Data Systems Research.
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.