Simone Sharma
Impact in
- Artificial Intelligence top 5%
- Neural Networks and Applications
- AI in cancer detection
- Anomaly Detection Techniques and Applications
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- Parkinson's Disease Mechanisms and Treatments
Papers in
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- Pain Mechanisms and Treatments 2
- Alzheimer's disease research and treatments 1
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- Parkinson's Disease Mechanisms and Treatments 2
- Neurological disorders and treatments 1
- Co-authors
- Siddharth Sharma (1 shared paper)Franziska Denk (2 shared papers)Megan Crow (2 shared papers)Stephen B. McMahon (2 shared papers)Daniel Ziemek (1 shared paper)Noel J. Buckley (1 shared paper)John Grist (1 shared paper)Ben S. Sidders (1 shared paper)
- Journals
- Neurobiology of Disease (1 paper)The FASEB Journal (1 paper)Neuropathology and Applied Neurobiology (1 paper)Evolution & Development (1 paper)The Journal of Immunology (1 paper)
- Partner nations
- United KingdomUnited StatesAustria
In The Last Decade
Simone Sharma
7 papers receiving 1.1k citations
Simone Sharma's Hit Papers
Peers
Comparison fields: 5 of 164
- Artificial Intelligence 248
- Neurology 54
- Neurology 77
- Physiology 125
- Computer Vision and Pattern Recognition 101
Countries citing papers authored by Simone Sharma
This map shows the geographic impact of Simone 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 Simone Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simone Sharma more than expected).
Fields of papers citing papers by Simone Sharma
This network shows the impact of papers produced by Simone 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 Simone Sharma. The network helps show where Simone Sharma may publish in the future.
Co-authors
The 25 scholars most cited alongside Simone 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
| # | Work | ||
|---|---|---|---|
| 1 | ACTIVATION FUNCTIONS IN NEURAL NETWORKS Hit paper breakdown → | 2020 | 845 |
| 2 | 2013 | 139 | |
| 3 | 2009 | 46 | |
| 4 | 2011 | 39 | |
| 5 | 2015 | 31 | |
| 6 | 2005 | 22 | |
| 7 | 2014 | 12 |
About Simone Sharma
Simone Sharma is a scholar working on Physiology, Neurology, Molecular Biology, Cellular and Molecular Neuroscience and Virology, having authored 7 papers that have together received 1.1k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (2 papers), Pain Mechanisms and Treatments (2 papers), Alzheimer's disease research and treatments (1 paper), Neurological disorders and treatments (1 paper), Immunotherapy and Immune Responses (1 paper), Histone Deacetylase Inhibitors Research (1 paper), Neural Networks and Applications (1 paper) and Cancer, Stress, Anesthesia, and Immune Response (1 paper). The work is most often cited by research in Artificial Intelligence (248 citations), Neurology (54 citations), Neurology (77 citations), Physiology (125 citations) and Computer Vision and Pattern Recognition (101 citations). Simone Sharma has collaborated with scholars based in United Kingdom, United States and Austria. Frequent co-authors include Siddharth Sharma, Franziska Denk, Megan Crow, Stephen B. McMahon, Daniel Ziemek, Noel J. Buckley, John Grist, Ben S. Sidders, Wenlong Huang and Angela Bithell. Their work appears in journals such as Neurobiology of Disease, The FASEB Journal, Neuropathology and Applied Neurobiology, Evolution & Development and The Journal of Immunology.
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.