Ashish Sharma
- Artificial Intelligence top 10%
- Information Systems top 10%
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications top 10%
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Dhirendra Prasad YadavBhisham SharmaAyush GoyalMadhusudan SinghAnand Singh JalalAnkur AgrawalRaghuraj SinghAnant Ram
- Topics
- Sentiment Analysis and Opinion Mining (2 papers)Stock Market Forecasting Methods (2 papers)Distributed and Parallel Computing Systems (2 papers)
In The Last Decade
Ashish Sharma
19 papers receiving 384 citations
Peers
Comparison fields: 5 of 92
- Artificial Intelligence 136
- Information Systems 83
- Computer Vision and Pattern Recognition 67
- Computer Networks and Communications 60
- Radiology, Nuclear Medicine and Imaging 60
Countries citing papers authored by Ashish Sharma
This map shows the geographic impact of Ashish Sharma'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 Ashish Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashish Sharma more than expected).
Fields of papers citing papers by Ashish Sharma
This network shows the impact of papers produced by Ashish Sharma. 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 Ashish Sharma. The network helps show where Ashish Sharma may publish in the future.
Co-authorship network of co-authors of Ashish Sharma
This figure shows the co-authorship network connecting the top 25 collaborators of Ashish Sharma. A scholar is included among the top collaborators of Ashish Sharma 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 Ashish Sharma. Ashish Sharma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 14 | |
| 5 | 2 | |
| 6 | 5 | |
| 7 | 2 | |
| 8 | 0 | |
| 9 | 28 | |
| 10 | 56 | |
| 11 | 1 | |
| 12 | 89 | |
| 13 | 1 | |
| 14 | 10 | |
| 15 | 86 | |
| 16 | 1 | |
| 17 | A measure for modelling non-functional requirements using extended use case | 4 |
| 18 | 1 | |
| 19 | 96 | |
| 20 | Effect of actinomycin D and cycloheximide on ischemic preconditioning-induced delayed cardioprotective effect in rats. | 3 |
About Ashish Sharma
Ashish Sharma is a scholar working on Health Informatics, Medical Laboratory Technology and Health Information Management, having authored 22 papers that have together received 405 indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (2 papers), Stock Market Forecasting Methods (2 papers) and Distributed and Parallel Computing Systems (2 papers). The work is most often cited by research in Health Informatics (27 citations), Health Information Management (25 citations) and Occupational Therapy (21 citations). Ashish Sharma has collaborated with scholars based in India, Nepal and Jordan. Frequent co-authors include Dhirendra Prasad Yadav, Bhisham Sharma, Ayush Goyal, Madhusudan Singh, Anand Singh Jalal, Ankur Agrawal, Raghuraj Singh, Anant Ram, Mukesh Kumar and Deepika Koundal. Their work appears in journals such as IEEE Access, Sensors and Experimental Cell Research.
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.