Danielle Lee
- Information Systems top 5%
- Artificial Intelligence top 10%
- Statistical and Nonlinear Physics top 10%
- Statistics, Probability and Uncertainty top 5%
- Computer Networks and Communications top 10%
- Co-authors
- Peter BrusilovskyTitus SchleyerMichael YudelsonSergey SosnovskyDavid BorsookVladimir ZadorozhnyLino BecerraTing Guo
- Topics
- Recommender Systems and Techniques (17 papers)Expert finding and Q&A systems (8 papers)Complex Network Analysis Techniques (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaPainInformation Sciences
- Partner nations
- United StatesSouth KoreaUnited Kingdom
In The Last Decade
Danielle Lee
51 papers receiving 563 citations
Peers
Comparison fields: 5 of 110
- Information Systems 246
- Artificial Intelligence 146
- Statistical and Nonlinear Physics 70
- Statistics, Probability and Uncertainty 68
- Computer Networks and Communications 62
Countries citing papers authored by Danielle Lee
This map shows the geographic impact of Danielle Lee'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 Danielle Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle Lee more than expected).
Fields of papers citing papers by Danielle Lee
This network shows the impact of papers produced by Danielle Lee. 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 Danielle Lee. The network helps show where Danielle Lee may publish in the future.
Co-authorship network of co-authors of Danielle Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Danielle Lee. A scholar is included among the top collaborators of Danielle Lee 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 Danielle Lee. Danielle Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 8 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 4 | |
| 10 | 5 | |
| 11 | 1 | |
| 12 | 30 | |
| 13 | 4 | |
| 14 | 8 | |
| 15 | 30 | |
| 16 | 36 | |
| 17 | Comparative Analysis of Index Terms and Social Tags | 1 |
| 18 | 37 | |
| 19 | Does trust influence information similarity | 11 |
| 20 | 55 |
About Danielle Lee
Danielle Lee is a scholar working on Information Systems, Statistics, Probability and Uncertainty and Computer Science Applications, having authored 61 papers that have together received 609 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (17 papers), Expert finding and Q&A systems (8 papers) and Complex Network Analysis Techniques (8 papers). The work is most often cited by research in Computer Science Applications (61 citations), Information Systems (246 citations) and Statistics, Probability and Uncertainty (68 citations). Danielle Lee has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Peter Brusilovsky, Titus Schleyer, Michael Yudelson, Sergey Sosnovsky, David Borsook, Vladimir Zadorozhny, Lino Becerra, Ting Guo, Rami Burstein and Kent E. Pinkerton. Their work appears in journals such as SHILAP Revista de lepidopterología, Pain and Information Sciences.
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.