Anubha Gupta
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 2%
- Cognitive Neuroscience top 5%
- Oncology top 10%
- Radiology, Nuclear Medicine and Imaging top 5%
- Co-authors
- Margareta Hammarlund‐UdenaesRitu GuptaPushpendra SinghMarkus FridénStina SyvänenTilak Raj BhardwajRoshan LalPriya Aggarwal
- Topics
- Image and Signal Denoising Methods (21 papers)Blind Source Separation Techniques (19 papers)Ultra-Wideband Communications Technology (14 papers)
- Journals
- CirculationJournal of Clinical OncologySHILAP Revista de lepidopterología
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Anubha Gupta
177 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 168
- Artificial Intelligence 473
- Computer Vision and Pattern Recognition 437
- Cognitive Neuroscience 431
- Oncology 414
- Radiology, Nuclear Medicine and Imaging 391
Countries citing papers authored by Anubha Gupta
This map shows the geographic impact of Anubha Gupta'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 Anubha Gupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anubha Gupta more than expected).
Fields of papers citing papers by Anubha Gupta
This network shows the impact of papers produced by Anubha Gupta. 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 Anubha Gupta. The network helps show where Anubha Gupta may publish in the future.
Co-authorship network of co-authors of Anubha Gupta
This figure shows the co-authorship network connecting the top 25 collaborators of Anubha Gupta. A scholar is included among the top collaborators of Anubha Gupta 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 Anubha Gupta. Anubha Gupta 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 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 4 | |
| 7 | 7 | |
| 8 | 90 | |
| 9 | 7 | |
| 10 | 2 | |
| 11 | Lung Cancer Detection Using Image Processing and Convolutional Neural Network | 2 |
| 12 | 1 | |
| 13 | 9 | |
| 14 | 22 | |
| 15 | 1 | |
| 16 | 125 | |
| 17 | 16 | |
| 18 | Integrating Semantic Information in Metadata Descriptions for a Geoscience-wide Resource Inventory. | 1 |
| 19 | Research Performance of Maharishi Markandeshwar University, Mullana-Ambala during 2007-2015: A Scientometric Study | 5 |
| 20 | A phase 1 study of oral rucaparib in combination with carboplatin | 2 |
About Anubha Gupta
Anubha Gupta is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Cognitive Neuroscience, having authored 188 papers that have together received 3.1k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (21 papers), Blind Source Separation Techniques (19 papers) and Ultra-Wideband Communications Technology (14 papers). The work is most often cited by research in Pharmaceutical Science (162 citations), Health Informatics (35 citations) and Cognitive Neuroscience (431 citations). Anubha Gupta has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Margareta Hammarlund‐Udenaes, Ritu Gupta, Pushpendra Singh, Markus Fridén, Stina Syvänen, Tilak Raj Bhardwaj, Roshan Lal, Priya Aggarwal, Vimal Bhatia and Sakshi Agrawal. Their work appears in journals such as Circulation, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.
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.