Anupama Ray
Impact in
- Media Technology top 10%
- Vehicle License Plate Recognition
-
- Handwritten Text Recognition Techniques
- Image Processing and 3D Reconstruction
Papers in
-
- Handwritten Text Recognition Techniques 6
- Image Retrieval and Classification Techniques 4
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- Natural Language Processing Techniques 5
- Topic Modeling 4
- Co-authors
- Santanu Chaudhury (8 shared papers)Sai Rajeswar (4 shared papers)Prerana Mukherjee (1 shared paper)Ritu Garg (1 shared paper)Hiroshi Miki (1 shared paper)Wei-Chih Chien (3 shared papers)F. Pagette (1 shared paper)Huai‐Yu Cheng (4 shared papers)
- Journals
- IBM Journal of Research and Development (1 paper)Environmental Research (1 paper)AI Magazine (1 paper)NDT & E International (1 paper)Agricultural Water Management (1 paper)
- Partner nations
- IndiaUnited StatesTaiwan
In The Last Decade
Anupama Ray
27 papers receiving 214 citations
Peers
Comparison fields: 5 of 61
- Media Technology 31
- Computer Vision and Pattern Recognition 67
- Artificial Intelligence 56
- Electrical and Electronic Engineering 83
- Polymers and Plastics 15
Countries citing papers authored by Anupama Ray
This map shows the geographic impact of Anupama Ray'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 Anupama Ray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anupama Ray more than expected).
Fields of papers citing papers by Anupama Ray
This network shows the impact of papers produced by Anupama Ray. 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 Anupama Ray. The network helps show where Anupama Ray may publish in the future.
Co-authors
The 25 scholars most cited alongside Anupama Ray, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 52 | |
| 2 | 2017 | 41 | |
| 3 | Increasing threshold voltage variation due to random telegraph noise in FETs as gate lengths scale to 20 nm | 2006 | 25 |
| 4 | 2021 | 17 | |
| 5 | 2023 | 7 | |
| 6 | 2014 | 7 | |
| 7 | 2002 | 7 | |
| 8 | 2023 | 6 | |
| 9 | 2022 | 6 | |
| 10 | 2013 | 6 | |
| 11 | 2015 | 5 | |
| 12 | 2019 | 5 | |
| 13 | 2019 | 4 | |
| 14 | Semantic Parsing for Technical Support Questions | 2018 | 4 |
| 15 | 2015 | 4 | |
| 16 | 2023 | 4 | |
| 17 | 2017 | 4 | |
| 18 | 2020 | 3 | |
| 19 | 2024 | 3 | |
| 20 | 2016 | 3 |
About Anupama Ray
Anupama Ray is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering, Information Systems and Ocean Engineering, having authored 28 papers that have together received 228 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (6 papers), Natural Language Processing Techniques (5 papers), Topic Modeling (4 papers), Image Retrieval and Classification Techniques (4 papers), Semiconductor materials and devices (3 papers), Phase-change materials and chalcogenides (3 papers), Water resources management and optimization (2 papers) and Water-Energy-Food Nexus Studies (2 papers). The work is most often cited by research in Media Technology (31 citations), Computer Vision and Pattern Recognition (67 citations), Artificial Intelligence (56 citations), Electrical and Electronic Engineering (83 citations) and Polymers and Plastics (15 citations). Anupama Ray has collaborated with scholars based in India, United States and Taiwan. Frequent co-authors include Santanu Chaudhury, Sai Rajeswar, Prerana Mukherjee, Ritu Garg, Hiroshi Miki, Wei-Chih Chien, F. Pagette, Huai‐Yu Cheng, Fabio Carta and M. BrightSky. Their work appears in journals such as IBM Journal of Research and Development, Environmental Research, AI Magazine, NDT & E International and Agricultural Water Management.
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.