Prateek Sharma

Active 1997–2026

344
Papers
35,067
Citations
104
h-index
295
i10-index

Citations

Citations per year for Prateek Sharma1996: 1 citations1998: 6 citations1999: 18 citations2000: 23 citations2001: 17 citations2002: 39 citations2003: 29 citations2004: 37 citations2005: 42 citations2006: 56 citations2007: 73 citations2008: 82 citations2009: 99 citations2010: 111 citations2011: 138 citations2012: 179 citations2013: 262 citations2014: 163 citations2015: 237 citations2016: 240 citations2017: 228 citations2018: 209 citations2019: 705 citations2020: 858 citations2021: 932 citations2022: 968 citations2023: 971 citations2024: 1,502 citations2025: 999 citations2026: 101 citations1997: no citations, so this year is not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 2,202 citing papers, 22% of this breakdownChina: 984 citing papers, 9.8% of this breakdownUnited Kingdom: 722 citing papers, 7.2% of this breakdownItaly: 530 citing papers, 5.3% of this breakdownGermany: 462 citing papers, 4.6% of this breakdownNetherlands: 416 citing papers, 4.1% of this breakdownJapan: 374 citing papers, 3.7% of this breakdownCanada: 309 citing papers, 3.1% of this breakdownFrance: 289 citing papers, 2.9% of this breakdownIndia: 285 citing papers, 2.8% of this breakdownAustralia: 277 citing papers, 2.8% of this breakdownSpain: 217 citing papers, 2.2% of this breakdown
0%22%Other 29.5%

Fields

  • Medicine61.9%
  • Computer Science16.7%
  • Biochemistry, Genetics and Molecular Biology9.6%
  • Engineering3.4%
  • Environmental Science1.5%
  • Health Professions1.2%
  • Other5.7%

Topics

  • Esophageal Cancer Research and Treatment7.7%
  • Colorectal Cancer Screening and Detection6.8%
  • Gastric Cancer Management and Outcomes6.5%
  • Esophageal and GI Pathology4.1%
  • Gastroesophageal reflux and treatments4%
  • Cloud Computing and Resource Management3.7%
  • Other67.2%

Coauthors

All papers

Open in search
  1. FaasCache: keeping serverless computing alive with greedy-dual caching

    Authors: , - International Conference on Architectural Support for Programming Languages and Operating Systems, ASPLOS 2021 cited by 200

  2. Efficacy of Real-Time Computer-Aided Detection of Colorectal Neoplasia in a Randomized Trial

    Authors: , , , , , , , , , , , , , , , , , , , , , , , - Gastroenterology 2020 cited by 605

  3. LLMCarbon: Modeling the End-to-End Carbon Footprint of Large Language Models

    Authors: , , , , , , - ICLR 2024 cited by 141

  4. Global greenhouse gas emissions from animal-based foods are twice those of plant-based foods

    Authors: , , , , , , , , - Nature Food 2021 cited by 956

  5. Checklist for Artificial Intelligence in Medical Imaging (CLAIM): 2024 Update

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Benjamin Fine, Adam E. Flanders, Judy Wawira Gichoya, Maryellen L. Giger, Safwan S. Halabi, Sven Haller, William Hsu, Krishna Juluru, Jayashree Kalpathy–Cramer, Apostolos H. Karantanas, Felipe Kitamura, Burak Koçak, Dow‐Mu Koh, Elmar Kotter, Elizabeth A. Krupinski, Curtis P. Langlotz, Cecilia S. Lee, Mario Maas, Anant Madabhushi, Lena Maier-Hein, Kostas Marias, Luis Martí‐Bonmatí, Jaishree Naidoo, Emanuele Neri, Robert Ochs, Nikolaos Papanikolaou, Thomas V. Papathomas, Katja Pinker, Daniel Santos, Fred Prior, Alexandros Protonotarios, Mauricio Reyes, Veronica Rotemberg, Jeffrey D. Rudie, Emmanuel Salinas-Miranda, Francesco Sardanelli, Mark E. Schweitzer, Luca Maria Sconfienza, Ronnie Sebro, Prateek Sharma, An Tang, Antonios Tzortzakakis, Jeroen van der Laak, Peter M. A. van Ooijen, Vasantha Kumar Venugopal, Jacob J. Visser, Bradford J. Wood, Carol C. Wu, Greg Zaharchuk, Marc Zins - Radiology Artificial Intelligence 2024 cited by 348

  6. Performance of artificial intelligence in colonoscopy for adenoma and polyp detection: a systematic review and meta-analysis

    Authors: , , , , , , , , , , , , , , , - Gastrointestinal Endoscopy 2020 cited by 495

  7. Impact of Artificial Intelligence on Miss Rate of Colorectal Neoplasia

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Cesare Hassan - Gastroenterology 2022 cited by 256

  8. Real-Time Computer-Aided Detection of Colorectal Neoplasia During Colonoscopy

    Authors: , , , , , , , , , , , , , , , , , , , , , , - Annals of Internal Medicine 2023 cited by 189

  9. Artificial intelligence and colonoscopy experience: lessons from two randomised trials

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , - Gut 2021 cited by 231

  10. Cost-effectiveness of artificial intelligence for screening colonoscopy: a modelling study

    Authors: , , , , , , , , , , , , , , , , , - The Lancet Digital Health 2022 cited by 219

  11. Effect of a deep learning-based system on the miss rate of gastric neoplasms during upper gastrointestinal endoscopy: a single-centre, tandem, randomised controlled trial

    Authors: , , , , , , , , , , , , , , , , , , , , , , , - ˜The œLancet. Gastroenterology & hepatology 2021 cited by 133

  12. Treatment of Locally Advanced Esophageal Carcinoma: ASCO Guideline

    Authors: , , , , , , , , , , , - Journal of Clinical Oncology 2020 cited by 334

  13. Containers and Virtual Machines at Scale

    Authors: , , , - Middleware Conference, Proceedings of the 17th International Middleware Conference 2016 cited by 214

  14. Artificial intelligence-assisted optical diagnosis for the resect-and-discard strategy in clinical practice: the Artificial intelligence BLI Characterization (ABC) study

    Authors: , , , , , , , , , , , , , , , , , , , , , , , - Endoscopy 2022 cited by 119

  15. Radiofrequency Ablation in Barrett's Esophagus with Dysplasia

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Ryan D. Madanick, Amitabh Chak, Charles J. Lightdale - New England Journal of Medicine 2009 cited by 1,437

  16. Endoscopic approach to eosinophilic esophagitis: American Society for Gastrointestinal Endoscopy Consensus Conference

    Authors: , , , , , , , , , , , , , , , , , , , , - Gastrointestinal Endoscopy 2022 cited by 121

  17. Expected value of artificial intelligence in gastrointestinal endoscopy: European Society of Gastrointestinal Endoscopy (ESGE) Position Statement

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Andrew Veitch, Ian M. Gralnek, Cesare Hassan, Mário Dinis‐Ribeiro - Endoscopy 2022 cited by 162

  18. Memory-harvesting VMs in cloud platforms

    Authors: , , , , , , , , , - International Conference on Architectural Support for Programming Languages and Operating Systems, ASPLOS 2022 cited by 36

  19. New artificial intelligence system: first validation study versus experienced endoscopists for colorectal polyp detection

    Authors: , , , , , , - Gut 2019 cited by 176

  20. New Insights Into the Cancer–Microbiome–Immune Axis: Decrypting a Decade of Discoveries

    Authors: , , , , - Frontiers in Immunology 2021 cited by 184

  21. Computer-aided detection versus advanced imaging for detection of colorectal neoplasia: a systematic review and network meta-analysis

    Authors: , , , , , , , , , , , , , , , , , , , , , - ˜The œLancet. Gastroenterology & hepatology 2021 cited by 117

  22. Effect of an artificial intelligence-based quality improvement system on efficacy of a computer-aided detection system in colonoscopy: a four-group parallel study

    Authors: , , , , , , , , , , , , , , , - Endoscopy 2021 cited by 108

  23. Pharmacodynamics and Pharmacokinetics of the Potassium-Competitive Acid Blocker Vonoprazan and the Proton Pump Inhibitor Lansoprazole in US Subjects

    Authors: , , , , , , - The American Journal of Gastroenterology 2022 cited by 82

  24. Artificial Intelligence and Deep Learning for Upper Gastrointestinal Neoplasia

    Authors: , - Gastroenterology 2021 cited by 85