Ankita Singh
- Artificial Intelligence
- Cognitive Neuroscience
- Computer Vision and Pattern Recognition
- Experimental and Cognitive Psychology
- Oral Surgery top 10%
- Co-authors
- Avik SarkarShayok ChakrabortyPawan SinghNeil CharnessMia Liza A. LustriaZhe HeWalter R. BootShenghao Zhang
- Topics
- Machine Learning and Algorithms (3 papers)Anomaly Detection Techniques and Applications (3 papers)Dental Research and COVID-19 (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaFrontiers in PsychologyInformation Processing & Management
- Partner nations
- IndiaUnited StatesAustralia
In The Last Decade
Ankita Singh
29 papers receiving 254 citations
Peers
Comparison fields: 5 of 106
- Artificial Intelligence 73
- Cognitive Neuroscience 47
- Computer Vision and Pattern Recognition 40
- Experimental and Cognitive Psychology 40
- Oral Surgery 26
Countries citing papers authored by Ankita Singh
This map shows the geographic impact of Ankita Singh'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 Ankita Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ankita Singh more than expected).
Fields of papers citing papers by Ankita Singh
This network shows the impact of papers produced by Ankita Singh. 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 Ankita Singh. The network helps show where Ankita Singh may publish in the future.
Co-authorship network of co-authors of Ankita Singh
This figure shows the co-authorship network connecting the top 25 collaborators of Ankita Singh. A scholar is included among the top collaborators of Ankita Singh 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 Ankita Singh. Ankita Singh 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 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 13 | |
| 9 | 0 | |
| 10 | 17 | |
| 11 | 16 | |
| 12 | 59 | |
| 13 | 33 | |
| 14 | 0 | |
| 15 | 17 | |
| 16 | 0 | |
| 17 | 2 | |
| 18 | 0 | |
| 19 | Ontology Based Question Answering System | 2 |
| 20 | Meta-model : ensuring the widespread access to metadata and data for environmental models : scoping report | 3 |
About Ankita Singh
Ankita Singh is a scholar working on General Dentistry, Applied Microbiology and Biotechnology and Orthodontics, having authored 44 papers that have together received 281 indexed citations. Recurring topics across this work include Machine Learning and Algorithms (3 papers), Anomaly Detection Techniques and Applications (3 papers) and Dental Research and COVID-19 (3 papers). The work is most often cited by research in Health Informatics (7 citations), General Dentistry (8 citations) and Periodontics (17 citations). Ankita Singh has collaborated with scholars based in India, United States and Australia. Frequent co-authors include Avik Sarkar, Shayok Chakraborty, Pawan Singh, Neil Charness, Mia Liza A. Lustria, Zhe He, Walter R. Boot, Shenghao Zhang, Ivan Darby and Nelson Roque. Their work appears in journals such as SHILAP Revista de lepidopterología, Frontiers in Psychology and Information Processing & 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.