Shikha Mehta
- Artificial Intelligence top 5%
- Computer Networks and Communications top 10%
- Information Systems top 5%
- Computer Vision and Pattern Recognition
- Signal Processing
- Co-authors
- Parul AgarwalParmeet KaurHema BanatiSakshi AgarwalAjith AbrahamArmin VedadghavamiMeera NarvekarAmbika G. Bajpayee
- Topics
- Metaheuristic Optimization Algorithms Research (14 papers)Evolutionary Algorithms and Applications (6 papers)Complex Network Analysis Techniques (6 papers)
- Partner nations
- IndiaUnited StatesSouth Africa
In The Last Decade
Shikha Mehta
51 papers receiving 504 citations
Peers
Comparison fields: 5 of 96
- Artificial Intelligence 233
- Computer Networks and Communications 148
- Information Systems 148
- Computer Vision and Pattern Recognition 50
- Signal Processing 39
Countries citing papers authored by Shikha Mehta
This map shows the geographic impact of Shikha Mehta'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 Shikha Mehta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shikha Mehta more than expected).
Fields of papers citing papers by Shikha Mehta
This network shows the impact of papers produced by Shikha Mehta. 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 Shikha Mehta. The network helps show where Shikha Mehta may publish in the future.
Co-authorship network of co-authors of Shikha Mehta
This figure shows the co-authorship network connecting the top 25 collaborators of Shikha Mehta. A scholar is included among the top collaborators of Shikha Mehta 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 Shikha Mehta. Shikha Mehta 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 | 1 | |
| 3 | 3 | |
| 4 | 19 | |
| 5 | 2 | |
| 6 | 15 | |
| 7 | 9 | |
| 8 | 10 | |
| 9 | 17 | |
| 10 | 3 | |
| 11 | 21 | |
| 12 | 89 | |
| 13 | 10 | |
| 14 | 6 | |
| 15 | An Optimum Stratification For Stratified Cluster Sampling Design When Clusters Are of Varying Sizes | 2 |
| 16 | 4 | |
| 17 | 11 | |
| 18 | 16 | |
| 19 | Decision Support System for Health Care Specialists: A Fuzzy Data Mining Approach. | 1 |
| 20 | Sonographic diagnosis of portal cavernoma. | 1 |
About Shikha Mehta
Shikha Mehta is a scholar working on Artificial Intelligence, Information Systems and Statistical and Nonlinear Physics, having authored 54 papers that have together received 538 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (14 papers), Evolutionary Algorithms and Applications (6 papers) and Complex Network Analysis Techniques (6 papers). The work is most often cited by research in Artificial Intelligence (233 citations), Information Systems (148 citations) and Computer Networks and Communications (148 citations). Shikha Mehta has collaborated with scholars based in India, United States and South Africa. Frequent co-authors include Parul Agarwal, Parmeet Kaur, Hema Banati, Sakshi Agarwal, Ajith Abraham, Armin Vedadghavami, Meera Narvekar, Ambika G. Bajpayee, Tengfei He and Chenzhen Zhang. Their work appears in journals such as European Heart Journal, Osteoarthritis and Cartilage and Information Processing & Management.
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.