Nikita Jain
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Neurology top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Molecular Biology
- Co-authors
- D. Jude HemanthRachna JainAkshay AggarwalVedika GuptaDeepali VirmaniSenthilkumar MohanAli AhmadianSuresh Chandra Satapathy
- Topics
- Anomaly Detection Techniques and Applications (6 papers)RNA Interference and Gene Delivery (4 papers)COVID-19 diagnosis using AI (4 papers)
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaBlood
- Partner nations
- IndiaUnited StatesMalaysia
In The Last Decade
Nikita Jain
75 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 158
- Artificial Intelligence 424
- Computer Vision and Pattern Recognition 267
- Neurology 225
- Radiology, Nuclear Medicine and Imaging 172
- Molecular Biology 161
Countries citing papers authored by Nikita Jain
This map shows the geographic impact of Nikita Jain'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 Nikita Jain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nikita Jain more than expected).
Fields of papers citing papers by Nikita Jain
This network shows the impact of papers produced by Nikita Jain. 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 Nikita Jain. The network helps show where Nikita Jain may publish in the future.
Co-authorship network of co-authors of Nikita Jain
This figure shows the co-authorship network connecting the top 25 collaborators of Nikita Jain. A scholar is included among the top collaborators of Nikita Jain 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 Nikita Jain. Nikita Jain 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 | 1 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 4 | |
| 7 | 25 | |
| 8 | 30 | |
| 9 | Sickle Cell Hepatopathy | 1 |
| 10 | 17 | |
| 11 | 53 | |
| 12 | 6 | |
| 13 | 4 | |
| 14 | 11 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 1 | |
| 18 | Improved Multinomial Naïve Bayes Approach for Sentiment Analysis on Social Media | 2 |
| 19 | 3 | |
| 20 | 12 |
About Nikita Jain
Nikita Jain is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Software, having authored 85 papers that have together received 1.3k indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (6 papers), RNA Interference and Gene Delivery (4 papers) and COVID-19 diagnosis using AI (4 papers). The work is most often cited by research in Neurology (225 citations), Health Information Management (101 citations) and Artificial Intelligence (424 citations). Nikita Jain has collaborated with scholars based in India, United States and Malaysia. Frequent co-authors include D. Jude Hemanth, Rachna Jain, Akshay Aggarwal, Vedika Gupta, Deepali Virmani, Senthilkumar Mohan, Ali Ahmadian, Suresh Chandra Satapathy, Roman Šenkeřík and Deepika Kumar. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.
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.