Daniel Ting

12 papers and 214 indexed citations i.

About

Daniel Ting is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Daniel Ting has authored 12 papers receiving a total of 214 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 7 papers in Computer Networks and Communications and 4 papers in Signal Processing. Recurrent topics in Daniel Ting’s work include Internet Traffic Analysis and Secure E-voting (3 papers), Network Security and Intrusion Detection (2 papers) and Bayesian Methods and Mixture Models (2 papers). Daniel Ting is often cited by papers focused on Internet Traffic Analysis and Secure E-voting (3 papers), Network Security and Intrusion Detection (2 papers) and Bayesian Methods and Mixture Models (2 papers). Daniel Ting collaborates with scholars based in Spain, United States and Italy. Daniel Ting's co-authors include Michael I. Jordan, Rajib Kumar Mitra, Roland L. Dunbrack, Maxim V. Shapovalov, Guoli Wang, Pedro Reviriego, Mario Trottini, Stephen E. Fienberg, Eric Brochu and Jaideep Chandrashekar and has published in prestigious journals such as PLoS Computational Biology, IEEE Communications Letters and IEEE Transactions on Dependable and Secure Computing.

In The Last Decade

Co-authorship network of co-authors of Daniel Ting i

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.

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).

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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2025