Daniel Le
Impact in
- Software top 10%
- Geometry and Topology top 10%
- Algebraic Geometry and Number Theory
Papers in ⓘ
-
- Advanced Text Analysis Techniques 11
- Topic Modeling 11
- Text and Document Classification Technologies 8
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- Biomedical Text Mining and Ontologies 10
- Co-authors
- George R. Thoma (25 shared papers)Jie Zou (8 shared papers)Jong Woo Kim (6 shared papers)Yanfang Ye (1 shared paper)Hieu Tran (1 shared paper)Harry Wechsler (2 shared papers)Robert L. Judson‐Torres (1 shared paper)Adriane Sinclair (1 shared paper)
- Journals
- Nature Communications (4 papers)Machine Vision and Applications (2 papers)Inventiones mathematicae (2 papers)Compositio Mathematica (2 papers)International Journal on Document Analysis and Recognition (IJDAR) (1 paper)
- Partner nations
- United StatesFranceCanada
In The Last Decade
Daniel Le
45 papers receiving 441 citations
Peers
Comparison fields: 5 of 87
- Software 30
- Geometry and Topology 51
- Mathematical Physics 52
- Artificial Intelligence 152
- Information Systems 103
Countries citing papers authored by Daniel Le
This map shows the geographic impact of Daniel Le'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 Le with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Le more than expected).
Fields of papers citing papers by Daniel Le
This network shows the impact of papers produced by Daniel Le. 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 Le. The network helps show where Daniel Le may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Le, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 69 | |
| 2 | 2021 | 67 | |
| 3 | 2011 | 51 | |
| 4 | 2000 | 26 | |
| 5 | 2010 | 20 | |
| 6 | 1995 | 17 | |
| 7 | 2011 | 14 | |
| 8 | 2024 | 11 | |
| 9 | 2006 | 11 | |
| 10 | 2024 | 10 | |
| 11 | 2017 | 10 | |
| 12 | 2000 | 10 | |
| 13 | 2007 | 9 | |
| 14 | 1995 | 9 | |
| 15 | 2017 | 8 | |
| 16 | Naive Bayes Classifier for Extracting Bibliographic Information from Biomedical Online Articles. | 2008 | 8 |
| 17 | 1999 | 8 | |
| 18 | 2022 | 8 | |
| 19 | 2021 | 7 | |
| 20 | 2024 | 7 |
About Daniel Le
Daniel Le is a scholar working on Artificial Intelligence, Molecular Biology, Mathematical Physics, Geometry and Topology and Computer Vision and Pattern Recognition, having authored 49 papers that have together received 467 indexed citations. Recurring topics across this work include Algebraic Geometry and Number Theory (12 papers), Advanced Text Analysis Techniques (11 papers), Advanced Algebra and Geometry (11 papers), Topic Modeling (11 papers), Biomedical Text Mining and Ontologies (10 papers), Text and Document Classification Technologies (8 papers), Handwritten Text Recognition Techniques (8 papers) and Image Retrieval and Classification Techniques (7 papers). The work is most often cited by research in Software (30 citations), Geometry and Topology (51 citations), Mathematical Physics (52 citations), Artificial Intelligence (152 citations) and Information Systems (103 citations). Daniel Le has collaborated with scholars based in United States, France and Canada. Frequent co-authors include George R. Thoma, Jie Zou, Jong Woo Kim, Yanfang Ye, Hieu Tran, Harry Wechsler, Robert L. Judson‐Torres, Adriane Sinclair, Brian K. Lohman and Ashley Maynard. Their work appears in journals such as Nature Communications, Machine Vision and Applications, Inventiones mathematicae, Compositio Mathematica and International Journal on Document Analysis and Recognition (IJDAR).
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.