Neha Sharma
Impact in
- Otorhinolaryngology top 10%
- Head and Neck Cancer Studies
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- Artificial Intelligence in Healthcare
Papers in
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- Imbalanced Data Classification Techniques 3
- Algorithms and Data Compression 2
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- Data Mining Algorithms and Applications 8
- Co-authors
- Hari Om (9 shared papers)Amlan Chakrabarti (7 shared papers)Valentina Emilia Bălaş (6 shared papers)Alfred M. Bruckstein⋆ (3 shared papers)Manoj Kumar Singh (1 shared paper)Navneet Singh (1 shared paper)Siddharth Sharma (1 shared paper)Digamber Behera (1 shared paper)
In The Last Decade
Neha Sharma
35 papers receiving 263 citations
Peers
Comparison fields: 5 of 99
- Otorhinolaryngology 28
- Health Information Management 25
- Periodontics 15
- Artificial Intelligence 102
- Information Systems 55
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-authors
The 25 scholars most cited alongside Neha Sharma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 32 | |
| 2 | 2015 | 28 | |
| 3 | 2013 | 27 | |
| 4 | 2021 | 19 | |
| 5 | 2020 | 18 | |
| 6 | 2021 | 17 | |
| 7 | 2016 | 17 | |
| 8 | Magnitude of acute respiratory infections in under five. | 1993 | 14 |
| 9 | 2013 | 13 | |
| 10 | 2014 | 11 | |
| 11 | 2014 | 9 | |
| 12 | 2021 | 9 | |
| 13 | 2014 | 7 | |
| 14 | 2019 | 6 | |
| 15 | 2023 | 5 | |
| 16 | 2017 | 5 | |
| 17 | 2014 | 5 | |
| 18 | 2022 | 4 | |
| 19 | 2008 | 4 | |
| 20 | 2019 | 4 |
About Neha Sharma
Neha Sharma is a scholar working on Artificial Intelligence, Information Systems, Molecular Biology, Management Information Systems and Computational Theory and Mathematics, having authored 38 papers that have together received 277 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (8 papers), Big Data and Business Intelligence (6 papers), Rough Sets and Fuzzy Logic (5 papers), Head and Neck Cancer Studies (3 papers), Imbalanced Data Classification Techniques (3 papers), Oral Health Pathology and Treatment (3 papers), Gene expression and cancer classification (2 papers) and Algorithms and Data Compression (2 papers). The work is most often cited by research in Otorhinolaryngology (28 citations), Health Information Management (25 citations), Periodontics (15 citations), Artificial Intelligence (102 citations) and Information Systems (55 citations). Neha Sharma has collaborated with scholars based in India, Romania and Israel. Frequent co-authors include Hari Om, Amlan Chakrabarti, Valentina Emilia Bălaş, Alfred M. Bruckstein⋆, Manoj Kumar Singh, Navneet Singh, Siddharth Sharma, Digamber Behera, Jan Martinovič and K.C. Nagpal. Their work appears in journals such as Developmental Neuroscience, Multimedia Tools and Applications, Cancer Epidemiology, Meccanica and International Journal of Advanced Intelligence Paradigms.
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.