Sakshi Arora
- Biomedical Engineering top 10%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Plant Science
- Radiology, Nuclear Medicine and Imaging top 10%
- Co-authors
- Sanjeev JainUday Pratap SinghRashmi SharmaLatha DiwakarManohar L. GargThomas Gregor Issac
- Topics
- Gait Recognition and Analysis (8 papers)Retinal Imaging and Analysis (6 papers)Video Surveillance and Tracking Methods (6 papers)
- Cited by
- Health Information ManagementComputer Vision and Pattern RecognitionHuman-Computer Interaction
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessBMC Public Health
- Partner nations
- India
In The Last Decade
Sakshi Arora
38 papers receiving 856 citations
Peers
Comparison fields: 5 of 122
- Biomedical Engineering 275
- Computer Vision and Pattern Recognition 251
- Artificial Intelligence 146
- Plant Science 142
- Radiology, Nuclear Medicine and Imaging 122
Countries citing papers authored by Sakshi Arora
This map shows the geographic impact of Sakshi Arora'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 Sakshi Arora with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sakshi Arora more than expected).
Fields of papers citing papers by Sakshi Arora
This network shows the impact of papers produced by Sakshi Arora. 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 Sakshi Arora. The network helps show where Sakshi Arora may publish in the future.
Co-authorship network of co-authors of Sakshi Arora
This figure shows the co-authorship network connecting the top 25 collaborators of Sakshi Arora. A scholar is included among the top collaborators of Sakshi Arora 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 Sakshi Arora. Sakshi Arora 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 | 3 | |
| 4 | 18 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 31 | |
| 9 | 16 | |
| 10 | 0 | |
| 11 | 35 | |
| 12 | 5 | |
| 13 | 13 | |
| 14 | 60 | |
| 15 | 35 | |
| 16 | 1 | |
| 17 | 40 | |
| 18 | 37 | |
| 19 | 127 | |
| 20 | 5 |
About Sakshi Arora
Sakshi Arora is a scholar working on Health Information Management, Human-Computer Interaction and Computer Vision and Pattern Recognition, having authored 44 papers that have together received 898 indexed citations. Recurring topics across this work include Gait Recognition and Analysis (8 papers), Retinal Imaging and Analysis (6 papers) and Video Surveillance and Tracking Methods (6 papers). The work is most often cited by research in Health Information Management (58 citations), Computer Vision and Pattern Recognition (251 citations) and Human-Computer Interaction (62 citations). Sakshi Arora has collaborated with scholars based in India. Frequent co-authors include Sanjeev Jain, Uday Pratap Singh, Rashmi Sharma, Latha Diwakar, Manohar L. Garg and Thomas Gregor Issac. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and BMC Public Health.
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.