Anitha Kannan
- Health Informatics top 5%
- Immunology top 10%
- Information Systems top 2%
- Web Data Mining and Analysis 6
- Spectroscopy top 5%
- Artificial Intelligence top 5%
- Topic Modeling 11
- Natural Language Processing Techniques 9
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- Advanced Image and Video Retrieval Techniques 8
- Image Retrieval and Classification Techniques 7
- Video Analysis and Summarization 6
- Multimodal Machine Learning Applications 5
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- Data Quality and Management 5
Anitha Kannan
49 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Health Informatics 27
- Immunology 406
- Information Systems 271
- Spectroscopy 198
- Artificial Intelligence 374
Countries citing papers authored by Anitha Kannan
This map shows the geographic impact of Anitha Kannan'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 Anitha Kannan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anitha Kannan more than expected).
Fields of papers citing papers by Anitha Kannan
This network shows the impact of papers produced by Anitha Kannan. 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 Anitha Kannan. The network helps show where Anitha Kannan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Anitha Kannan, 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 | 2024 | 12 | |
| 2 | 2023 | 2 | |
| 3 | 2023 | 6 | |
| 4 | Learn from Your Neighbor: Learning Multi-modal Mappings from Sparse Annotations | 2018 | 1 |
| 5 | Learning from the experts: From expert systems to machine learned diagnosis models | 2018 | 2 |
| 6 | Best of Both Worlds: Transferring Knowledge from Discriminative Learning to a Generative Visual Dialog Model | 2017 | 37 |
| 7 | Discovering Topical Aspects in Microblogs | 2014 | 3 |
| 8 | 2014 | 18 | |
| 9 | 2014 | 18 | |
| 10 | Assigning Educational Videos at Appropriate Locations in Textbooks. | 2014 | 5 |
| 11 | INTERFEROME v2.0: an updated database of annotated interferon-regulated genesbreakdown → | 2012 | 610 |
| 12 | Matching Unstructured Offers to Structured Product Descriptions | 2011 | 3 |
| 13 | 2011 | 49 | |
| 14 | 2009 | 14 | |
| 15 | 2008 | 25 | |
| 16 | 2007 | 3 | |
| 17 | 2005 | 10 | |
| 18 | Fast Transformation-Invariant Factor Analysis | 2002 | 6 |
| 19 | 2002 | 3 | |
| 20 | Accumulator Networks: Suitors of Local Probability Propagation | 2000 | 5 |
About Anitha Kannan
Anitha Kannan is a scholar working on Computer Vision and Pattern Recognition, Computer Science Applications and Artificial Intelligence, having authored 50 papers that have together received 1.8k indexed citations. Recurring topics across this work include Topic Modeling (11 papers), Natural Language Processing Techniques (9 papers), Advanced Image and Video Retrieval Techniques (8 papers), Image Retrieval and Classification Techniques (7 papers), Video Analysis and Summarization (6 papers), Web Data Mining and Analysis (6 papers), Multimodal Machine Learning Applications (5 papers) and Data Quality and Management (5 papers). The work is most often cited by research in Health Informatics (27 citations), Immunology (406 citations) and Information Systems (271 citations). Anitha Kannan has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Simon Yu, Ross Chapman, Paul J. Hertzog, Marion Massé, Samuel C. Forster, Helen Cumming, Brendan J. Frey, Andrew Emili, Brian Cox and Thomas Kislinger. Their work appears in journals such as JMIR mhealth and uhealth, Bioinformatics, Journal of Proteome Research, Cell and Molecular Systems Biology.
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.