Lisa Anne Hendricks
- Computer Vision and Pattern Recognition top 0.2%
- Artificial Intelligence top 0.5%
- Biomedical Engineering top 5%
- Human-Computer Interaction top 1%
- Signal Processing top 5%
- Co-authors
- Marcus RohrbachTrevor DarrellKate SaenkoSubhashini VenugopalanSergio GuadarramaJeff DonahueAida NematzadehBernt Schiele
- Topics
- Multimodal Machine Learning Applications (12 papers)Domain Adaptation and Few-Shot Learning (9 papers)Human Pose and Action Recognition (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine IntelligenceFree Radical Biology and Medicine
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Lisa Anne Hendricks
26 papers receiving 4.9k citations
Hit Papers
Peers
Comparison fields: 5 of 180
- Computer Vision and Pattern Recognition 3.6k
- Artificial Intelligence 2.0k
- Biomedical Engineering 606
- Human-Computer Interaction 373
- Signal Processing 226
Countries citing papers authored by Lisa Anne Hendricks
This map shows the geographic impact of Lisa Anne Hendricks'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 Lisa Anne Hendricks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lisa Anne Hendricks more than expected).
Fields of papers citing papers by Lisa Anne Hendricks
This network shows the impact of papers produced by Lisa Anne Hendricks. 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 Lisa Anne Hendricks. The network helps show where Lisa Anne Hendricks may publish in the future.
Co-authorship network of co-authors of Lisa Anne Hendricks
This figure shows the co-authorship network connecting the top 25 collaborators of Lisa Anne Hendricks. A scholar is included among the top collaborators of Lisa Anne Hendricks 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 Lisa Anne Hendricks. Lisa Anne Hendricks is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 8 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 4 | |
| 6 | 10 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 47 | |
| 10 | 21 | |
| 11 | 71 | |
| 12 | 39 | |
| 13 | Long-Term Recurrent Convolutional Networks for Visual Recognition and Descriptionbreakdown → | 1096 |
| 14 | Long-term recurrent convolutional networks for visual recognition and descriptionbreakdown → | 3070 |
| 15 | 10 | |
| 16 | 34 | |
| 17 | 81 | |
| 18 | 10 | |
| 19 | 2 | |
| 20 | 15 |
About Lisa Anne Hendricks
Lisa Anne Hendricks is a scholar working on Pharmacy, Computer Vision and Pattern Recognition and Modeling and Simulation, having authored 28 papers that have together received 5.1k indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (12 papers), Domain Adaptation and Few-Shot Learning (9 papers) and Human Pose and Action Recognition (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.6k citations), Human-Computer Interaction (373 citations) and Artificial Intelligence (2.0k citations). Lisa Anne Hendricks has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Marcus Rohrbach, Trevor Darrell, Kate Saenko, Subhashini Venugopalan, Sergio Guadarrama, Jeff Donahue, Aida Nematzadeh, Bernt Schiele, Simon N. Young and Rakshith Shetty. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Free Radical Biology and Medicine.
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.