Alyssa Lees
Impact in
- Artificial Intelligence top 5%
- Hate Speech and Cyberbullying Detection
- Topic Modeling
- Natural Language Processing Techniques
- Speech and dialogue systems
- Human-Computer Interaction top 10%
Papers in
-
- Topic Modeling 6
- Natural Language Processing Techniques 5
- Hate Speech and Cyberbullying Detection 4
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- Human Pose and Action Recognition 5
- Video Analysis and Summarization 4
- Co-authors
- Jeffrey S. Sorensen (4 shared papers)Cong Yu (3 shared papers)You Wu (3 shared papers)Xiang Bo Deng (2 shared papers)Huan Sun (2 shared papers)Chris Bregler (3 shared papers)Matthew D. Stone (2 shared papers)Christian A. Rodriguez (2 shared papers)
- Journals
- Proceedings of the VLDB Endowment (1 paper)ACM SIGMOD Record (1 paper)ACM Transactions on Graphics (1 paper)Lecture notes in computer science (1 paper)Accademia University Press eBooks (1 paper)
- Partner nations
- United StatesNetherlandsItaly
In The Last Decade
Alyssa Lees
16 papers receiving 499 citations
Peers
Comparison fields: 5 of 53
- Artificial Intelligence 342
- Human-Computer Interaction 53
- Management Science and Operations Research 79
- Computer Vision and Pattern Recognition 121
- Control and Systems Engineering 110
Countries citing papers authored by Alyssa Lees
This map shows the geographic impact of Alyssa Lees'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 Alyssa Lees with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alyssa Lees more than expected).
Fields of papers citing papers by Alyssa Lees
This network shows the impact of papers produced by Alyssa Lees. 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 Alyssa Lees. The network helps show where Alyssa Lees may publish in the future.
Co-authors
The 25 scholars most cited alongside Alyssa Lees, 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 | 2004 | 115 | |
| 2 | 2022 | 97 | |
| 3 | 2022 | 94 | |
| 4 | 2022 | 67 | |
| 5 | 2020 | 67 | |
| 6 | 2004 | 39 | |
| 7 | 2020 | 11 | |
| 8 | Capturing Covertly Toxic Speech via Crowdsourcing | 2021 | 11 |
| 9 | 2020 | 7 | |
| 10 | 2015 | 5 | |
| 11 | 2019 | 2 | |
| 12 | 2006 | 1 | |
| 13 | Expressive motion | 2006 | 1 |
| 14 | 2021 | 1 | |
| 15 | 2022 | 1 | |
| 16 | Taxonomy Embeddings on PubMed Article Subject Headings. | 2019 | 1 |
| 17 | 2022 | 0 |
About Alyssa Lees
Alyssa Lees is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering, Management Science and Operations Research and Information Systems, having authored 17 papers that have together received 520 indexed citations. Recurring topics across this work include Topic Modeling (6 papers), Human Pose and Action Recognition (5 papers), Human Motion and Animation (5 papers), Natural Language Processing Techniques (5 papers), Hate Speech and Cyberbullying Detection (4 papers), Video Analysis and Summarization (4 papers), Web Data Mining and Analysis (3 papers) and Biomedical Text Mining and Ontologies (2 papers). The work is most often cited by research in Artificial Intelligence (342 citations), Human-Computer Interaction (53 citations), Management Science and Operations Research (79 citations), Computer Vision and Pattern Recognition (121 citations) and Control and Systems Engineering (110 citations). Alyssa Lees has collaborated with scholars based in United States, Netherlands and Italy. Frequent co-authors include Jeffrey S. Sorensen, Cong Yu, You Wu, Xiang Bo Deng, Huan Sun, Chris Bregler, Matthew D. Stone, Christian A. Rodriguez, Doug DeCarlo and Vinh Q. Tran. Their work appears in journals such as Proceedings of the VLDB Endowment, ACM SIGMOD Record, ACM Transactions on Graphics, Lecture notes in computer science and Accademia University Press eBooks.
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.