Daniel Ting
Impact in
- Signal Processing top 10%
- Data Management and Algorithms
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- Advanced Database Systems and Queries
Papers in
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- Advanced Database Systems and Queries 7
- Caching and Content Delivery 2
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- Internet Traffic Analysis and Secure E-voting 3
- Data Stream Mining Techniques 3
- Bayesian Methods and Mixture Models 2
- Co-authors
- Roland L. Dunbrack (1 shared paper)Michael I. Jordan (1 shared paper)Maxim V. Shapovalov (1 shared paper)Guoli Wang (1 shared paper)Rajib Kumar Mitra (1 shared paper)Pedro Reviriego (4 shared papers)Stephen E. Fienberg (1 shared paper)Mario Trottini (1 shared paper)
- Journals
- IEEE Communications Letters (2 papers)PLoS Computational Biology (1 paper)IEEE Access (1 paper)IEEE Transactions on Dependable and Secure Computing (1 paper)International Journal of Information and Computer Security (1 paper)
- Partner nations
- United StatesSpainItaly
In The Last Decade
Daniel Ting
17 papers receiving 297 citations
Peers
Comparison fields: 5 of 78
- Signal Processing 49
- Computer Networks and Communications 88
- Artificial Intelligence 116
- Hardware and Architecture 14
- Molecular Biology 121
Countries citing papers authored by Daniel Ting
This map shows the geographic impact of Daniel Ting'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 Ting with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Ting more than expected).
Fields of papers citing papers by Daniel Ting
This network shows the impact of papers produced by Daniel Ting. 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 Ting. The network helps show where Daniel Ting may publish in the future.
Co-authors
The 21 scholars most cited alongside Daniel Ting, 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 | 2010 | 139 | |
| 2 | 2014 | 28 | |
| 3 | 2018 | 26 | |
| 4 | 2019 | 22 | |
| 5 | 2008 | 22 | |
| 6 | 2016 | 18 | |
| 7 | 2020 | 16 | |
| 8 | 2020 | 10 | |
| 9 | 2021 | 8 | |
| 10 | Optimal Subsampling with Influence Functions | 2018 | 6 |
| 11 | 2013 | 4 | |
| 12 | 2022 | 4 | |
| 13 | 1972 | 3 | |
| 14 | Online Semi-Supervised Learning on Quantized Graphs | 2010 | 2 |
| 15 | 2022 | 2 | |
| 16 | 2021 | 1 | |
| 17 | 2020 | 1 | |
| 18 | 2019 | 1 | |
| 19 | 2025 | 0 |
About Daniel Ting
Daniel Ting is a scholar working on Computer Networks and Communications, Artificial Intelligence, Signal Processing, Hardware and Architecture and Statistics and Probability, having authored 19 papers that have together received 313 indexed citations. Recurring topics across this work include Data Management and Algorithms (7 papers), Advanced Database Systems and Queries (7 papers), Internet Traffic Analysis and Secure E-voting (3 papers), Data Stream Mining Techniques (3 papers), Caching and Content Delivery (2 papers), Statistical Methods and Inference (2 papers), Advanced Malware Detection Techniques (2 papers) and Bayesian Methods and Mixture Models (2 papers). The work is most often cited by research in Signal Processing (49 citations), Computer Networks and Communications (88 citations), Artificial Intelligence (116 citations), Hardware and Architecture (14 citations) and Molecular Biology (121 citations). Daniel Ting has collaborated with scholars based in United States, Spain and Italy. Frequent co-authors include Roland L. Dunbrack, Michael I. Jordan, Maxim V. Shapovalov, Guoli Wang, Rajib Kumar Mitra, Pedro Reviriego, Stephen E. Fienberg, Mario Trottini, Jonathan Malkin and Eric Brochu. Their work appears in journals such as IEEE Communications Letters, PLoS Computational Biology, IEEE Access, IEEE Transactions on Dependable and Secure Computing and International Journal of Information and Computer Security.
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.