Minakshi Memoria
- Artificial Intelligence top 10%
- Health Information Management top 2%
- Information Systems top 10%
- Computer Vision and Pattern Recognition top 10%
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Kapil JoshiRajiv KumarAmrendra TripathiPrabhishek SinghManoj DiwakarNeeraj KumarAshulekha GuptaSanjeev Kumar
- Topics
- Artificial Intelligence in Healthcare (7 papers)Blockchain Technology Applications and Security (7 papers)Infrared Thermography in Medicine (5 papers)
- Partner nations
- IndiaMalaysiaSaudi Arabia
In The Last Decade
Minakshi Memoria
55 papers receiving 442 citations
Peers
Comparison fields: 5 of 88
- Artificial Intelligence 126
- Health Information Management 101
- Information Systems 74
- Computer Vision and Pattern Recognition 66
- Radiology, Nuclear Medicine and Imaging 64
Countries citing papers authored by Minakshi Memoria
This map shows the geographic impact of Minakshi Memoria'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 Minakshi Memoria with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minakshi Memoria more than expected).
Fields of papers citing papers by Minakshi Memoria
This network shows the impact of papers produced by Minakshi Memoria. 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 Minakshi Memoria. The network helps show where Minakshi Memoria may publish in the future.
Co-authorship network of co-authors of Minakshi Memoria
This figure shows the co-authorship network connecting the top 25 collaborators of Minakshi Memoria. A scholar is included among the top collaborators of Minakshi Memoria 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 Minakshi Memoria. Minakshi Memoria 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 | 4 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 6 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 10 | |
| 13 | 1 | |
| 14 | 0 | |
| 15 | 1 | |
| 16 | 3 | |
| 17 | 12 | |
| 18 | 1 | |
| 19 | 16 | |
| 20 | 17 |
About Minakshi Memoria
Minakshi Memoria is a scholar working on Health Information Management, Health Informatics and Artificial Intelligence, having authored 64 papers that have together received 472 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (7 papers), Blockchain Technology Applications and Security (7 papers) and Infrared Thermography in Medicine (5 papers). The work is most often cited by research in Health Information Management (101 citations), Medical Laboratory Technology (9 citations) and Health Informatics (7 citations). Minakshi Memoria has collaborated with scholars based in India, Malaysia and Saudi Arabia. Frequent co-authors include Kapil Joshi, Rajiv Kumar, Amrendra Tripathi, Prabhishek Singh, Manoj Diwakar, Neeraj Kumar, Ashulekha Gupta, Sanjeev Kumar, Ayush Sharma and Anu Sayal. Their work appears in journals such as Materials Letters, BMC Musculoskeletal Disorders and Materials Today Proceedings.
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.