Geeta Sharma
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Animal Science and Zoology top 10%
- Artificial Intelligence
- Biochemistry top 10%
- Co-authors
- Sheetal KalraK. JayathilakanA. S. BawaK. RadhakrishnaAshok KhuranaRajesh SharmaSumit MittalShivam Garg
- Topics
- User Authentication and Security Systems (6 papers)Advanced Authentication Protocols Security (5 papers)Quantum Computing Algorithms and Architecture (3 papers)
- Partner nations
- IndiaUnited KingdomUnited States
In The Last Decade
Geeta Sharma
24 papers receiving 412 citations
Peers
Comparison fields: 5 of 82
- Computer Networks and Communications 205
- Information Systems 201
- Animal Science and Zoology 73
- Artificial Intelligence 69
- Biochemistry 65
Countries citing papers authored by Geeta Sharma
This map shows the geographic impact of Geeta 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 Geeta Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Geeta Sharma more than expected).
Fields of papers citing papers by Geeta Sharma
This network shows the impact of papers produced by Geeta 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 Geeta Sharma. The network helps show where Geeta Sharma may publish in the future.
Co-authorship network of co-authors of Geeta Sharma
This figure shows the co-authorship network connecting the top 25 collaborators of Geeta Sharma. A scholar is included among the top collaborators of Geeta 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 Geeta Sharma. Geeta 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 | 4 | |
| 2 | 2 | |
| 3 | 19 | |
| 4 | 10 | |
| 5 | 112 | |
| 6 | 24 | |
| 7 | 2 | |
| 8 | 10 | |
| 9 | 2 | |
| 10 | 3 | |
| 11 | 11 | |
| 12 | 31 | |
| 13 | 3 | |
| 14 | A study of changes in the body composition components in the patients with pulmonary tuberculosis. | 3 |
| 15 | 131 | |
| 16 | 2 | |
| 17 | 2 | |
| 18 | 2 | |
| 19 | 3 | |
| 20 | HISTOCHEMICAL STUDY OF ALKALINE PHOSPHATASE AND GLYCOGEN IN THE LIVER OF RABBITS INFECTED WITH LAPINIZED RINDERPEST VIRUS. | 1 |
About Geeta Sharma
Geeta Sharma is a scholar working on Computer Networks and Communications, Information Systems and Modeling and Simulation, having authored 24 papers that have together received 440 indexed citations. Recurring topics across this work include User Authentication and Security Systems (6 papers), Advanced Authentication Protocols Security (5 papers) and Quantum Computing Algorithms and Architecture (3 papers). The work is most often cited by research in Biochemistry (65 citations), Computer Networks and Communications (205 citations) and Information Systems (201 citations). Geeta Sharma has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Sheetal Kalra, K. Jayathilakan, A. S. Bawa, K. Radhakrishna, Ashok Khurana, Rajesh Sharma, Sumit Mittal, Shivam Garg, Alan Wiseman and Peter S. Goldfarb. Their work appears in journals such as Food Chemistry, Biochemical Society Transactions and Environmental and Experimental Botany.
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.