Daniel Ting

696 total citations
19 papers, 313 citations indexed

About

Daniel Ting is a scholar working on Computer Networks and Communications, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Daniel Ting has authored 19 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Networks and Communications, 11 papers in Artificial Intelligence and 9 papers in Signal Processing. Recurrent topics in Daniel Ting's work include Advanced Database Systems and Queries (7 papers), Data Management and Algorithms (7 papers) and Internet Traffic Analysis and Secure E-voting (3 papers). Daniel Ting is often cited by papers focused on Advanced Database Systems and Queries (7 papers), Data Management and Algorithms (7 papers) and Internet Traffic Analysis and Secure E-voting (3 papers). Daniel Ting collaborates with scholars based in United States, Spain and Germany. Daniel Ting's co-authors include Roland L. Dunbrack, Maxim V. Shapovalov, Guoli Wang, Michael I. Jordan, Rajib Kumar Mitra, Pedro Reviriego, Stephen E. Fienberg, Mario Trottini, Jonathan Malkin and Eric Brochu and has published in prestigious journals such as IEEE Access, PLoS Computational Biology and IEEE Communications Letters.

In The Last Decade

Daniel Ting

17 papers receiving 297 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel Ting United States 9 121 116 88 63 49 19 313
Yihan Sun United States 10 145 1.2× 77 0.7× 109 1.2× 35 0.6× 31 0.6× 32 436
Yongfeng Gu United States 12 101 0.8× 110 0.9× 112 1.3× 34 0.5× 16 0.3× 30 418
Sergey Nepomnyachiy United States 9 197 1.6× 43 0.4× 51 0.6× 64 1.0× 66 1.3× 9 296
Trilce Estrada United States 13 72 0.6× 77 0.7× 165 1.9× 24 0.4× 38 0.8× 51 403
Jun Huan United States 11 182 1.5× 147 1.3× 44 0.5× 23 0.4× 93 1.9× 29 411
Bharat Sukhwani United States 12 110 0.9× 147 1.3× 238 2.7× 13 0.2× 24 0.5× 20 475
Søren Riis United Kingdom 12 166 1.4× 242 2.1× 119 1.4× 26 0.4× 42 0.9× 54 531
Volker Heun Germany 7 78 0.6× 109 0.9× 48 0.5× 14 0.2× 17 0.3× 16 185
Daniele Paolo Scarpazza United States 12 43 0.4× 179 1.5× 181 2.1× 16 0.3× 17 0.3× 23 368
M. Mendell Canada 7 50 0.4× 37 0.3× 119 1.4× 19 0.3× 24 0.5× 8 209

Countries citing papers authored by Daniel Ting

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Daniel Ting

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Ting. A scholar is included among the top collaborators of Daniel Ting based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel Ting. Daniel Ting is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
2.
Reviriego, Pedro & Daniel Ting. (2022). Breaking Cuckoo Hash: Black Box Attacks. IEEE Transactions on Dependable and Secure Computing. 19(4). 2421–2427. 4 indexed citations
3.
Ting, Daniel. (2022). Adaptive Threshold Sampling. Proceedings of the 2022 International Conference on Management of Data. 1612–1625. 2 indexed citations
4.
Ting, Daniel, et al.. (2021). Conditional Cuckoo Filters. 1838–1850. 8 indexed citations
5.
Reviriego, Pedro, et al.. (2021). More Accurate Streaming Cardinality Estimation With Vectorized Counters. IEEE Networking Letters. 3(2). 75–79. 1 indexed citations
6.
Ting, Daniel, et al.. (2020). Data Sketching for Real Time Analytics. 3567–3568. 10 indexed citations
7.
Reviriego, Pedro, et al.. (2020). Fast Updates for Line-Rate HyperLogLog-Based Cardinality Estimation. IEEE Communications Letters. 24(12). 2737–2741. 1 indexed citations
8.
Reviriego, Pedro & Daniel Ting. (2020). Security of HyperLogLog (HLL) Cardinality Estimation: Vulnerabilities and Protection. IEEE Communications Letters. 24(5). 976–980. 16 indexed citations
9.
Ting, Daniel. (2019). Approximate Distinct Counts for Billions of Datasets. 69–86. 22 indexed citations
10.
Xu, Lin, Richard L. Cole, & Daniel Ting. (2019). Learning to optimize federated queries. 1–7. 1 indexed citations
11.
Ting, Daniel & Eric Brochu. (2018). Optimal Subsampling with Influence Functions. Neural Information Processing Systems. 31. 3650–3659. 6 indexed citations
12.
Ting, Daniel. (2018). Count-Min. 2319–2328. 26 indexed citations
13.
Ting, Daniel. (2016). Towards Optimal Cardinality Estimation of Unions and Intersections with Sketches. 1195–1204. 18 indexed citations
14.
Ting, Daniel. (2014). Streamed approximate counting of distinct elements. 442–451. 28 indexed citations
15.
Agosta, John Mark, Jaideep Chandrashekar, Mark Crovella, Nina Taft, & Daniel Ting. (2013). Mixture models of endhost network traffic. 2744. 225–229. 4 indexed citations
16.
Kveton, Branislav, et al.. (2010). Online Semi-Supervised Learning on Quantized Graphs. HAL (Le Centre pour la Communication Scientifique Directe). 2 indexed citations
17.
Ting, Daniel, Guoli Wang, Maxim V. Shapovalov, et al.. (2010). Neighbor-Dependent Ramachandran Probability Distributions of Amino Acids Developed from a Hierarchical Dirichlet Process Model. PLoS Computational Biology. 6(4). e1000763–e1000763. 139 indexed citations
18.
Ting, Daniel, Stephen E. Fienberg, & Mario Trottini. (2008). Random orthogonal matrix masking methodology for microdata release. International Journal of Information and Computer Security. 2(1). 86–86. 22 indexed citations
19.
Ting, Daniel, et al.. (1972). Spline function interpolation in interactive hemodynamic simulation. International Journal of Man-Machine Studies. 4(4). 425–438. 3 indexed citations

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.

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