Prachi Gharpure
- Radiology, Nuclear Medicine and Imaging
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Ophthalmology top 10%
- Health Information Management top 5%
- Co-authors
- Kailas DevadkarSudhir P. MudurKaiser G. LimRobert M. ChanockSourav KalraL. SpenceRalph S. PaffenbargerDavid Bodian
- Topics
- Open Education and E-Learning (5 papers)Topic Modeling (4 papers)Natural Language Processing Techniques (4 papers)
- Journals
- American Journal of EpidemiologyIEEE Transactions on EducationInternational Journal of Bio-Inspired Computation
- Partner nations
- IndiaCanadaUnited States
In The Last Decade
Prachi Gharpure
21 papers receiving 204 citations
Peers
Comparison fields: 5 of 60
- Radiology, Nuclear Medicine and Imaging 99
- Computer Vision and Pattern Recognition 68
- Artificial Intelligence 62
- Ophthalmology 55
- Health Information Management 42
Countries citing papers authored by Prachi Gharpure
This map shows the geographic impact of Prachi Gharpure'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 Prachi Gharpure with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prachi Gharpure more than expected).
Fields of papers citing papers by Prachi Gharpure
This network shows the impact of papers produced by Prachi Gharpure. 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 Prachi Gharpure. The network helps show where Prachi Gharpure may publish in the future.
Co-authorship network of co-authors of Prachi Gharpure
This figure shows the co-authorship network connecting the top 25 collaborators of Prachi Gharpure. A scholar is included among the top collaborators of Prachi Gharpure 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 Prachi Gharpure. Prachi Gharpure 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 | 5 | |
| 4 | 47 | |
| 5 | 1 | |
| 6 | 9 | |
| 7 | 2 | |
| 8 | 104 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | 1 | |
| 12 | Spam Detection Techniques: Issues and Challenges | 3 |
| 13 | 2 | |
| 14 | 3 | |
| 15 | A Model Driven Process for Web-based Instructional Content Development | 2 |
| 16 | Experiments in model driven web courseware development for individualized learning | 1 |
| 17 | ON KNOWLEDGE REPRESENTATION IN INDIVIDUALIZED LEARNING | 2 |
| 18 | WHO respiratory disease survey in children: a serological study. | 27 |
| 19 | 6 | |
| 20 | Poliomyelitis: epidemiological and virus studies. | 0 |
About Prachi Gharpure
Prachi Gharpure is a scholar working on Computer Science Applications, Human Factors and Ergonomics and Information Systems, having authored 26 papers that have together received 237 indexed citations. Recurring topics across this work include Open Education and E-Learning (5 papers), Topic Modeling (4 papers) and Natural Language Processing Techniques (4 papers). The work is most often cited by research in Health Information Management (42 citations), Ophthalmology (55 citations) and Radiology, Nuclear Medicine and Imaging (99 citations). Prachi Gharpure has collaborated with scholars based in India, Canada and United States. Frequent co-authors include Kailas Devadkar, Sudhir P. Mudur, Kaiser G. Lim, Robert M. Chanock, Sourav Kalra, L. Spence, Ralph S. Paffenbarger, David Bodian, Shrey Shah and Radha Shankarmani. Their work appears in journals such as American Journal of Epidemiology, IEEE Transactions on Education and International Journal of Bio-Inspired Computation.
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.