Rahul Sharma

1972–2026 年に発表

別表記
Rahul Sharma -
483
論文数
23,148
被引用数
82
h 指数
307
i10 指数

被引用数

Rahul Sharma の年別被引用数1967 年: 被引用 1 件1991 年: 被引用 1 件1992 年: 被引用 1 件1994 年: 被引用 1 件1996 年: 被引用 1 件1998 年: 被引用 1 件1999 年: 被引用 9 件2000 年: 被引用 8 件2001 年: 被引用 9 件2002 年: 被引用 13 件2003 年: 被引用 18 件2004 年: 被引用 12 件2005 年: 被引用 7 件2006 年: 被引用 11 件2007 年: 被引用 9 件2008 年: 被引用 16 件2009 年: 被引用 21 件2010 年: 被引用 33 件2011 年: 被引用 73 件2012 年: 被引用 101 件2013 年: 被引用 112 件2014 年: 被引用 183 件2015 年: 被引用 193 件2016 年: 被引用 207 件2017 年: 被引用 281 件2018 年: 被引用 229 件2019 年: 被引用 517 件2020 年: 被引用 708 件2021 年: 被引用 1,345 件2022 年: 被引用 1,185 件2023 年: 被引用 974 件2024 年: 被引用 1,439 件2025 年: 被引用 1,187 件2026 年: 被引用 183 件1968〜1990 年は被引用が無いため表示していません1993 年は被引用が無いため表示していません1995 年は被引用が無いため表示していません1997 年は被引用が無いため表示していません

引用元

国・地域

この著者を引用した国・地域の世界地図アメリカ合衆国: 引用元論文 2,741 件、この内訳の 21.6%中国: 引用元論文 1,397 件、この内訳の 11%イギリス: 引用元論文 873 件、この内訳の 6.9%インド: 引用元論文 819 件、この内訳の 6.4%ドイツ: 引用元論文 651 件、この内訳の 5.1%カナダ: 引用元論文 424 件、この内訳の 3.3%フランス: 引用元論文 379 件、この内訳の 3%イタリア: 引用元論文 372 件、この内訳の 2.9%オーストラリア: 引用元論文 354 件、この内訳の 2.8%スイス: 引用元論文 285 件、この内訳の 2.2%日本: 引用元論文 251 件、この内訳の 2%オランダ: 引用元論文 246 件、この内訳の 1.9%
0%21.6%その他 30.9%

分野

  • Medicine34.4%
  • Computer Science29.3%
  • Engineering8.7%
  • Biochemistry, Genetics and Molecular Biology8.2%
  • Neuroscience7.5%
  • Immunology and Microbiology3.2%
  • その他8.7%

トピック

  • SARS-CoV-2 and COVID-19 Research4.8%
  • Software Testing and Debugging Techniques2.5%
  • COVID-19 Clinical Research Studies2.4%
  • Cardiac Valve Diseases and Treatments2.1%
  • Software Engineering Research1.8%
  • EEG and Brain-Computer Interfaces1.6%
  • その他84.8%

共著者

全論文

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  1. CrypTFlow2: Practical 2-Party Secure Inference

    著者: , , , , , , - SIGSAC Conference on Computer and Communications Security, CCS 2020 被引用: 303

  2. SARS-CoV-2 evolution during treatment of chronic infection

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Jason Domingo, Anne Elmer, Stewart Fuller, Julie Harris, Sarah Hewitt, Jane Kennet, Sherly Jose, Jenny Kourampa, Anne Meadows, Criona O’Brien, Jane Price, Cherry Publico, Rebecca Rastall, Carla M. S. Ribeiro, Jane Rowlands, Valentina Ruffolo, Hugo Tordesillas, Sample logistics, Ben Bullman, Benjamin J. Dunmore, Stuart Fawke, Stefan Ting Graf, Josh Hodgson, Christopher Huang, Kelvin Hunter, Emma Jones, Ekaterina Legchenko, Cecilia Matara, Jennifer Martin, Federica Mescia, Ciara O’Donnell, Linda Pointon, Nicole Pond, Joy Shih, Rachel Sutcliffe, Tobias Tilly, Carmen Treacy, Zhen Tong, Jennifer Wood, Marta Wylot, Sample processing & data acquisition, Laura Bergamaschi, Ariana Betancourt, Georgie Bower, Chiara Cossetti, Aloka De, Madeline Epping, Stuart Fawke, Nick Gleadall, Richard Grenfell, Andrew Hinch, Oisín Huhn, Sarah Jackson, Isobel Jarvis, D. J. Lewis, Joe Marsden, Francesca Nice, Georgina Okecha, Ommar Omarjee, Marianne Perera, Nathan Richoz, Veronika Romashova, Natalia Savinykh Yarkoni, Rahul Sharma, Luca Stefanucci, Jonathan Stephens, Mateusz Strezlecki, Lori Turner, Eckart M. D. D. De Bie, Katherine Bunclark ほか 1,034 名 - Nature 2021 被引用: 1,089

  3. Transfemoral tricuspid valve replacement and one-year outcomes: the TRISCEND study

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Scott Lim, Dale Fowler, John G. Webb, Robert Moss, Thomas Modine, Stéphane Lafitte, Azeem Latib, Edwin Ho, Ythan Goldberg, Pinak Shah, Charles Nyman, Josep Rodés‐Cabau, Élisabeth Bédard, Nicolas Brugger, Anna Sannino, Michael J. Mack, Martin B. Leon, Stephan Windecker, the TRISCEND study investigators, Raj Makkar, Tarun Chakravarty, Jubin Joseph, Mamoo Nakamura, Luke Oakley, Wen Cheng, Moody Makar, Siddharth Singh, John D. Friedman, D. Chang, Michèle A. Hamilton, Siddharth Singh, Charles J Davidson, Laura Davidson, Duc Thinh Pham, S. Chris Malaisrie, Jyothy Puthumana, Akhil Narang, Ryan Avery, Kambiz Ghafourian, Firas Zahr, Howard K. Song, Scott Chadderdon, Christina Fuss, Johannes Steiner, Susheel Kodali, Vivian G. Ng, Torsten Vahl, Isaac George, Rebecca T. Hahn, Omar Khalique, Todd Pulerwitz, Amirali Masoumi, Neil Fam, Sami Alnasser, Mark D. Peterson, Gianluigi Bisleri, Geraldine Ong, Djeven P. Deva, Gordon W. Moe, Pradeep Yadav, Vivek Rajagopal, Vinod H. Thourani, James Kauten, Mani A. Vannan, Sara Mobasseri, Hassan Sayegh, William Dinsfriend, Vibhav Rangarajan, Raul R. Blanco, Peter Flueckiger ほか 133 名 - European Heart Journal 2023 被引用: 243

  4. Age-related immune response heterogeneity to SARS-CoV-2 vaccine BNT162b2

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Julie Harris, Sarah Hewitt, Jane Kennet, Sherly Jose, Jenny Kourampa, Anne Meadows, Criona O’Brien, Jane Price, Cherry Publico, Rebecca Rastall, Carla M. S. Ribeiro, Jane Rowlands, Valentina Ruffolo, Hugo Tordesillas, Sample Logistics, Ben Bullman, Benjamin J. Dunmore, Stuart Fawke, Stefan Ting Graf, Josh Hodgson, Christopher Huang, Kelvin Hunter, Emma Jones, Ekaterina Legchenko, Cecilia Matara, Jennifer Martin, Federica Mescia, Ciara O’Donnell, Linda Pointon, Nicole Pond, Joy Shih, Rachel Sutcliffe, Tobias Tilly, Carmen Treacy, Zhen Tong, Jennifer Wood, Marta Wylot, Sample Processing and Data Acquisition, Laura Bergamaschi, Ariana Betancourt, Georgie Bower, Chiara Cossetti, Aloka De, Madeline Epping, Stuart Fawke, Nick Gleadall, Richard Grenfell, Andrew Hinch, Oisín Huhn, Sarah Jackson, Isobel Jarvis, Benjamin A. Krishna, D. J. Lewis, Joe Marsden, Francesca Nice, Georgina Okecha, Ommar Omarjee, Marianne Perera, Martin Potts, Nathan Richoz, Veronika Romashova, Natalia Savinykh Yarkoni, Rahul Sharma, Luca Stefanucci, Jonathan Stephens, Mateusz Strezlecki, Lori Turner, Eckart M. D. D. De Bie, Katherine Bunclark, Maša Josipović ほか 61 名 - Nature 2021 被引用: 828

  5. SIGMA: Secure GPT Inference with Function Secret Sharing

    著者: , , , , , , - Proceedings on Privacy Enhancing Technologies, IACR Cryptol. ePrint Arch. 2023 被引用: 57

  6. Assessment of Safety of a Fully Implanted Endovascular Brain-Computer Interface for Severe Paralysis in 4 Patients

    著者: , , , , , , , , , , , , , , , , , , , , , , , , - JAMA Neurology 2023 被引用: 170

  7. Finding Inductive Loop Invariants using Large Language Models

    著者: , , , , , , , , - arXiv (Cornell University), CoRR 2023 被引用: 56

  8. SIRNN: A Math Library for Secure RNN Inference

    著者: , , , , , , - IEEE Symposium on Security and Privacy (SP) 2021 被引用: 88

  9. Motor neuroprosthesis implanted with neurointerventional surgery improves capacity for activities of daily living tasks in severe paralysis: first in-human experience

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , J Mocco, David B. Grayden, Bruce Campbell, Peter Mitchell, Nicholas L. Opie - Journal of NeuroInterventional Surgery 2020 被引用: 238

  10. Motor imagery classification in brain-machine interface with machine learning algorithms: Classical approach to multi-layer perceptron model

    著者: , , - Biomedical Signal Processing and Control, Biomed. Signal Process. Control. 2021 被引用: 143

  11. Improved Outcomes Associated with the use of Shock Protocols: Updates from the National Cardiogenic Shock Initiative

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , John Finley, Ayaz Rahman, Malcolm Foster, Raza Askari, Andrew M. Goldsweig, Scott Martin, Aditya Bharadwaj, Matheen Khuddus, Christopher Caputo, Denes Korpas, Ian Cawich, David McAllister, Nimrod Blank, M. Chadi Alraies, Ruth Fisher, Akshay Khandelwal, Khaldoon Alaswad, Alejandro Lemor, Tyrell Johnson, Michael Hacala, William W. O’Neill, on behalf of the National Cardiogenic Shock Initiative Investigators - Catheterization and Cardiovascular Interventions 2019 被引用: 445

  12. A deep learning based approach for automatic detection of COVID-19 cases using chest X-ray images

    著者: , , , , , - Biomedical Signal Processing and Control, Biomed. Signal Process. Control. 2021 被引用: 182

  13. EzPC: Programmable and Efficient Secure Two-Party Computation for Machine Learning

    著者: , , , , - IEEE European Symposium on Security and Privacy (EuroS&P), EuroS&P 2019 被引用: 106

  14. Deep-Learning-Based Diagnosis and Prognosis of Alzheimer's Disease: A Comprehensive Review

    著者: , , , , - IEEE Transactions on Cognitive and Developmental Systems, IEEE Trans. Cogn. Dev. Syst. 2023 被引用: 67

  15. Multimodal Fusion-Based Deep Learning Network for Effective Diagnosis of Alzheimer's Disease

    著者: , , , , - IEEE Multimedia, IEEE Multim. 2022 被引用: 91

  16. Automated emotion recognition based on higher order statistics and deep learning algorithm

    著者: , , - Biomedical Signal Processing and Control, Biomed. Signal Process. Control. 2020 被引用: 183

  17. FDN-ADNet: Fuzzy LS-TWSVM based deep learning network for prognosis of the Alzheimer's disease using the sagittal plane of MRI scans

    著者: , , , - Applied Soft Computing, Appl. Soft Comput. 2021 被引用: 88

  18. Orca: FSS-based Secure Training and Inference with GPUs

    著者: , , , , , - IEEE Symposium on Security and Privacy (SP) 2024 被引用: 39

  19. Ensemble deep learning for Alzheimer’s disease characterization and estimation

    著者: , , , , , , , - Nature Mental Health 2024 被引用: 53

  20. Transcatheter Valve Replacement in Severe Tricuspid Regurgitation

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Michael Mack, Martin B. Leon, Philipp Lurz, Susheel Kodali - New England Journal of Medicine 2024 被引用: 304

  21. Semantic program alignment for equivalence checking

    著者: , , , - SIGPLAN Conference on Programming Language Design and Implementation, PLDI 2019 被引用: 92

  22. Machine Learning Assisted Methodology for Multiclass Classification of Malignant Brain Tumors

    著者: , , , , , - IEEE Access 2022 被引用: 87

  23. Multimodal Neuroimaging Based Alzheimer's Disease Diagnosis Using Evolutionary RVFL Classifier

    著者: , , , , , - IEEE Journal of Biomedical and Health Informatics, IEEE J. Biomed. Health Informatics 2023 被引用: 55

  24. Immune checkpoint blockade reprograms systemic immune landscape and tumor microenvironment in obesity-associated breast cancer

    著者: , , , , , , , , , , , , , , , , , , , , , - Cell Reports 2021 被引用: 97