Alyssa Lees
Impact in
- Artificial Intelligence top 5%
- Hate Speech and Cyberbullying Detection
- Topic Modeling
- Natural Language Processing Techniques
- Human-Computer Interaction top 10%
Papers in
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- Topic Modeling 5
- Natural Language Processing Techniques 4
- Hate Speech and Cyberbullying Detection 3
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- Human Motion and Animation 4
- Co-authors
- Xiang Deng (3 shared papers)Cong Yu (4 shared papers)You Wu (4 shared papers)Jeffrey Sorensen (3 shared papers)Huan Sun (3 shared papers)Chris Bregler (3 shared papers)Matthew Stone (2 shared papers)Doug DeCarlo (2 shared papers)
- Journals
- ACM SIGMOD Record (1 paper)ACM Transactions on Graphics (1 paper)Proceedings of the VLDB Endowment (1 paper)BOA (University of Milano-Bicocca) (1 paper)Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (1 paper)
- Partner nations
- United StatesNetherlandsSouth Korea
In The Last Decade
Alyssa Lees
14 papers receiving 357 citations
Peers
Comparison fields: 5 of 48
- Artificial Intelligence 249
- Human-Computer Interaction 33
- Management Science and Operations Research 62
- Computer Vision and Pattern Recognition 97
- Control and Systems Engineering 89
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 | 85 | |
| 2 | 2022 | 73 | |
| 3 | 2022 | 67 | |
| 4 | 2022 | 46 | |
| 5 | 2020 | 44 | |
| 6 | 2004 | 28 | |
| 7 | Capturing Covertly Toxic Speech via Crowdsourcing | 2021 | 11 |
| 8 | TURL: Table Understanding through Representation Learning | 2020 | 6 |
| 9 | 2015 | 6 | |
| 10 | 2020 | 5 | |
| 11 | 2019 | 1 | |
| 12 | Taxonomy Embeddings on PubMed Article Subject Headings. | 2019 | 1 |
| 13 | 2021 | 1 | |
| 14 | 2006 | 1 | |
| 15 | 2022 | 0 |
About Alyssa Lees
Alyssa Lees is a scholar working on Artificial Intelligence, Control and Systems Engineering, Computer Vision and Pattern Recognition, Management Science and Operations Research and Information Systems, having authored 15 papers that have together received 375 indexed citations. Recurring topics across this work include Topic Modeling (5 papers), Natural Language Processing Techniques (4 papers), Human Pose and Action Recognition (4 papers), Video Analysis and Summarization (4 papers), Human Motion and Animation (4 papers), Hate Speech and Cyberbullying Detection (3 papers), Data Quality and Management (3 papers) and Web Data Mining and Analysis (3 papers). The work is most often cited by research in Artificial Intelligence (249 citations), Human-Computer Interaction (33 citations), Management Science and Operations Research (62 citations), Computer Vision and Pattern Recognition (97 citations) and Control and Systems Engineering (89 citations). Alyssa Lees has collaborated with scholars based in United States, Netherlands and South Korea. Frequent co-authors include Xiang Deng, Cong Yu, You Wu, Jeffrey Sorensen, Huan Sun, Chris Bregler, Matthew Stone, Doug DeCarlo, Christian A. Rodriguez and Jai Prakash Gupta. Their work appears in journals such as ACM SIGMOD Record, ACM Transactions on Graphics, Proceedings of the VLDB Endowment, BOA (University of Milano-Bicocca) and Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.
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.