Ankur Datta
-
- Video Surveillance and Tracking Methods 8
- Advanced Image and Video Retrieval Techniques 7
- Advanced Vision and Imaging 5
- Human Pose and Action Recognition 4
- Advanced Neural Network Applications 3
- Media Technology top 5%
-
- Web Data Mining and Analysis 5
-
- Text and Document Classification Technologies 3
- Anomaly Detection Techniques and Applications 3
- Co-authors
- Takeo KanadeJun‐Sik KimRogério FerisYaser SheikhLisa M. BrownGiuseppe Di FabbrizioSharath PankantiBehjat Siddiquie
- Journals
- IEEE Transactions on Multimedia (1 paper)National University of Singapore (2 papers)Journal of International Crisis and Risk Communication Research (1 paper)
- Partner nations
- United StatesIndiaSingapore
In The Last Decade
Ankur Datta
24 papers receiving 410 citations
Peers
Comparison fields: 5 of 59
- Computer Vision and Pattern Recognition 336
- Media Technology 105
- Geology 25
- Human-Computer Interaction 22
- Computational Mathematics 2
Countries citing papers authored by Ankur Datta
This map shows the geographic impact of Ankur Datta'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 Ankur Datta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ankur Datta more than expected).
Fields of papers citing papers by Ankur Datta
This network shows the impact of papers produced by Ankur Datta. 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 Ankur Datta. The network helps show where Ankur Datta may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ankur Datta, 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 | Overview of the SIGIR 2018 eCom Rakuten Data Challenge. | 2018 | 4 |
| 2 | 2018 | 11 | |
| 3 | 2018 | 32 | |
| 4 | A Content-based Recommender System for E-commerce Offers and Coupons. | 2017 | 8 |
| 5 | Predicting Shopping Behavior with Mixture of RNNs. | 2017 | 19 |
| 6 | 2017 | 4 | |
| 7 | 2017 | 14 | |
| 8 | 2013 | 5 | |
| 9 | Unsupervised Model Selection for View-Invariant Object Detection in Surveillance Environments | 2013 | 2 |
| 10 | 2013 | 4 | |
| 11 | 2013 | 11 | |
| 12 | 2012 | 3 | |
| 13 | 2011 | 18 | |
| 14 | 2009 | 5 | |
| 15 | 2009 | 114 | |
| 16 | 2009 | 41 | |
| 17 | 2008 | 13 | |
| 18 | 2008 | 5 | |
| 19 | AGFA: (Airborne) Automated Geologic Field Analyzer | 2005 | 9 |
| 20 | Person-On-Person Violence Detection In Moving And Stationary Camera Videos | 2003 | 1 |
About Ankur Datta
Ankur Datta is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Graphics and Computer-Aided Design, having authored 24 papers that have together received 443 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (8 papers), Advanced Image and Video Retrieval Techniques (7 papers), Web Data Mining and Analysis (5 papers), Advanced Vision and Imaging (5 papers), Human Pose and Action Recognition (4 papers), Advanced Neural Network Applications (3 papers), Text and Document Classification Technologies (3 papers) and Anomaly Detection Techniques and Applications (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (336 citations), Media Technology (105 citations) and Geology (25 citations). Ankur Datta has collaborated with scholars based in United States, India and Singapore. Frequent co-authors include Takeo Kanade, Jun‐Sik Kim, Rogério Feris, Yaser Sheikh, Lisa M. Brown, Giuseppe Di Fabbrizio, Sharath Pankanti, Behjat Siddiquie, James Petterson and Yun Zhai. Their work appears in journals such as IEEE Transactions on Multimedia, National University of Singapore and Journal of International Crisis and Risk Communication Research.
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.