Neha Sharma
- Artificial Intelligence top 10%
- Information Systems top 10%
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging
- Health Information Management top 5%
- Co-authors
- Amlan ChakrabartiValentina Emilia BălaşAlfred M. Bruckstein⋆Manoj Kumar SinghSiddharth SharmaDigamber BeheraNavneet SinghJan Martinovič
- Topics
- Data Mining Algorithms and Applications (8 papers)Big Data and Business Intelligence (6 papers)Rough Sets and Fuzzy Logic (5 papers)
In The Last Decade
Neha Sharma
33 papers receiving 259 citations
Peers
Comparison fields: 5 of 103
- Artificial Intelligence 112
- Information Systems 57
- Molecular Biology 44
- Radiology, Nuclear Medicine and Imaging 34
- Health Information Management 29
Countries citing papers authored by Neha Sharma
This map shows the geographic impact of Neha 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 Neha Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neha Sharma more than expected).
Fields of papers citing papers by Neha Sharma
This network shows the impact of papers produced by Neha 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 Neha Sharma. The network helps show where Neha Sharma may publish in the future.
Co-authorship network of co-authors of Neha Sharma
This figure shows the co-authorship network connecting the top 25 collaborators of Neha Sharma. A scholar is included among the top collaborators of Neha 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 Neha Sharma. Neha 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 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 17 | |
| 7 | 4 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 0 | |
| 11 | 5 | |
| 12 | 28 | |
| 13 | 32 | |
| 14 | 3 | |
| 15 | 9 | |
| 16 | Early Detection and Prevention of Oral Cancer: Association Rule Mining on Investigations | 1 |
| 17 | 28 | |
| 18 | 1 | |
| 19 | 2 | |
| 20 | 1 |
About Neha Sharma
Neha Sharma is a scholar working on Otorhinolaryngology, Management Information Systems and Periodontics, having authored 38 papers that have together received 274 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (8 papers), Big Data and Business Intelligence (6 papers) and Rough Sets and Fuzzy Logic (5 papers). The work is most often cited by research in Health Information Management (29 citations), Otorhinolaryngology (23 citations) and Health Informatics (6 citations). Neha Sharma has collaborated with scholars based in India, Romania and Israel. Frequent co-authors include Amlan Chakrabarti, Valentina Emilia Bălaş, Alfred M. Bruckstein⋆, Manoj Kumar Singh, Siddharth Sharma, Digamber Behera, Navneet Singh, Jan Martinovič, K.C. Nagpal and Mandeep R. Mehra. Their work appears in journals such as Multimedia Tools and Applications, The Scientific World JOURNAL and Developmental Neuroscience.
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.