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Gábor Csányi

2003–2026 年に発表

別表記
Gábor Cśanyi
125
論文数
26,147
被引用数
67
h 指数
107
i10 指数

被引用数

Gábor Csányi の年別被引用数1911 年: 被引用 2 件1971 年: 被引用 1 件1989 年: 被引用 2 件1995 年: 被引用 1 件2004 年: 被引用 5 件2005 年: 被引用 9 件2006 年: 被引用 9 件2007 年: 被引用 18 件2008 年: 被引用 30 件2009 年: 被引用 37 件2010 年: 被引用 30 件2011 年: 被引用 50 件2012 年: 被引用 48 件2013 年: 被引用 64 件2014 年: 被引用 79 件2015 年: 被引用 91 件2016 年: 被引用 106 件2017 年: 被引用 177 件2018 年: 被引用 323 件2019 年: 被引用 547 件2020 年: 被引用 877 件2021 年: 被引用 819 件2022 年: 被引用 809 件2023 年: 被引用 809 件2024 年: 被引用 1,080 件2025 年: 被引用 918 件2026 年: 被引用 182 件1912〜1970 年は被引用が無いため表示していません1972〜1988 年は被引用が無いため表示していません1990〜1994 年は被引用が無いため表示していません1996〜2003 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 1,404 件、この内訳の 25.2%中国: 引用元論文 703 件、この内訳の 12.6%イギリス: 引用元論文 520 件、この内訳の 9.3%ドイツ: 引用元論文 476 件、この内訳の 8.5%スイス: 引用元論文 294 件、この内訳の 5.3%フランス: 引用元論文 172 件、この内訳の 3.1%日本: 引用元論文 165 件、この内訳の 3%イタリア: 引用元論文 159 件、この内訳の 2.8%カナダ: 引用元論文 148 件、この内訳の 2.7%韓国: 引用元論文 117 件、この内訳の 2.1%スペイン: 引用元論文 98 件、この内訳の 1.8%オーストリア: 引用元論文 92 件、この内訳の 1.6%
0%25.2%その他 22%

機関

分野

  • Materials Science50.5%
  • Computer Science11%
  • Biochemistry, Genetics and Molecular Biology10%
  • Medicine8.8%
  • Immunology and Microbiology4.8%
  • Physics and Astronomy4.8%
  • その他10.1%

トピック

  • Machine Learning in Materials Science17.8%
  • Computational Drug Discovery Methods11.6%
  • Protein Structure and Dynamics5.7%
  • X-ray Diffraction in Crystallography2.4%
  • Advanced Chemical Physics Studies1.8%
  • Neutrophil, Myeloperoxidase and Oxidative Mechanisms1.4%
  • その他59.3%

共著者

全論文

検索で開く
  1. Gaussian Approximation Potentials: The Accuracy of Quantum Mechanics, without the Electrons

    著者: Albert P. Bartók, M. C. Payne, Risi Kondor, Gábor Cśanyi - Physical Review Letters 2010 被引用: 3,143

  2. On representing chemical environments

    著者: Albert P. Bartók, Risi Kondor, Gábor Cśanyi - Physical Review B 2013 被引用: 2,639

  3. Gaussian Process Regression for Materials and Molecules

    著者: Volker L. Deringer, Albert P. Bartók, Noam Bernstein, David M. Wilkins, Michele Ceriotti, Gábor Cśanyi - Chemical Reviews 2021 被引用: 1,204

  4. A foundation model for atomistic materials chemistry

    著者: Batatia, Ilyes, Philipp Benner, Yuan Chiang, Alin M. Elena, Dávid Péter Kovács, Janosh Riebesell, Xavier R. Advincula, Mark Asta, Avaylon, Matthew, William J. Baldwin, Berger, Fabian, Noam Bernstein, Arghya Bhowmik, Bigi, Filippo, Samuel M. Blau, Vlad Cărare, Ceriotti, Michele, Chong, Sanggyu, James P. Darby, Sandip De, Flaviano Della Pia, Volker L. Deringer, Rokas Elijošius, Zakariya El‐Machachi, Falcioni, Fabio, Edvin Fako, Andrea C. Ferrari, Gardner, John L. A., Gawkowski, Mikolaj J., Annalena R. Genreith‐Schriever, Janine George, Rhys E. A. Goodall, Grandel, Jonas, Clare P. Grey, Grigorev, Petr, Shuang Han, Will Handley, Hendrik H. Heenen, Kersti Hermansson, Christian Holm, Ho, Cheuk Hin, Stephan Hofmann, Jad Jaafar, Konstantin S. Jakob, Hyunwook Jung, Venkat Kapil, Aaron D. Kaplan, Nima Karimitari, Kermode, James R., Kourtis, Panagiotis, Namu Kroupa, Jolla Kullgren, Matthew C. Kuner, Domantas Kuryla, Guoda Liepuoniute, Lin, Chen, Johannes T. Margraf, Ioan-Bogdan Magdău, Angelos Michaelides, J. Harry Moore, Aakash Ashok Naik, Samuel P. Niblett, Sam Walton Norwood, Niamh O’Neill, Christoph Ortner, Kristin A. Persson, Karsten Reuter, Andrew Rosen, Rosset, Louise A. M., Lars L. Schaaf, Christoph Schran, Shi, Benjamin X., Eric Sivonxay, Tamás K. Stenczel, Viktor Svahn, Christopher Sutton, Swinburne, Thomas D., Tilly, Jules, Cas van der Oord, Vargas, Santiago, Eszter Varga-Umbrich, Tejs Vegge, Martin Vondrák, Yangshuai Wang, William C. Witt, Wolf, Thomas, Fabian Zills, Gábor Csányi - arXiv (Cornell University) 2023 被引用: 246

  5. MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields

    著者: Ilyes Batatia, Dávid Péter Kovács, Gregor N. C. Simm, Christoph Ortner, Gábor Csányi - Advances in Neural Information Processing Systems 35, NeurIPS 2022 被引用: 1,193

  6. Machine Learning Interatomic Potentials as Emerging Tools for Materials Science

    著者: Volker L. Deringer, Miguel A. Caro, Gábor Cśanyi - Advanced Materials 2019 被引用: 989

  7. Comparing molecules and solids across structural and alchemical space

    著者: Sandip De, Albert P. Bartók, Gábor Cśanyi, Michele Ceriotti - Physical Chemistry Chemical Physics 2016 被引用: 808

  8. Evaluation of the MACE force field architecture: From medicinal chemistry to materials science

    著者: Dávid Péter Kovács, Ilyes Batatia, Eszter Sára Arany, Gábor Cśanyi - The Journal of Chemical Physics 2023 被引用: 175

  9. Performance and Cost Assessment of Machine Learning Interatomic Potentials

    著者: Yunxing Zuo, Chi Chen, Xiangguo Li, Zhi Deng, Yiming Chen, Jörg Behler, Gábor Cśanyi, Alexander V. Shapeev, Aidan P. Thompson, Mitchell Wood, Shyue Ping Ong - The Journal of Physical Chemistry A 2020 被引用: 927

  10. MACE-OFF: Transferable Short Range Machine Learning Force Fields for Organic Molecules

    著者: Dávid Péter Kovács, J. Harry Moore, Nicholas J. Browning, Ilyes Batatia, Joshua T. Horton, Pu, Yixuan, Venkat Kapil, Witt, William C., Ioan-Bogdan Magdău, Daniel J. Cole, Gábor Cśanyi - arXiv (Cornell University) 2023 被引用: 66

  11. The Design Space of E(3)-Equivariant Atom-Centered Interatomic Potentials

    著者: Ilyes Batatia, Simon L. Batzner, Dávid Péter Kovács, Albert Musaelian, Gregor N. C. Simm, Ralf Drautz, Christoph Ortner, Boris Kozinsky, Gábor Csányi - arXiv (Cornell University), CoRR 2022 被引用: 101

  12. Machine learning unifies the modeling of materials and molecules

    著者: Albert P. Bartók, Sandip De, Carl Poelking, Noam Bernstein, James R. Kermode, Gábor Cśanyi, Michele Ceriotti - Science Advances 2017 被引用: 772

  13. Performant implementation of the atomic cluster expansion (PACE) and application to copper and silicon

    著者: Yury Lysogorskiy, Cas van der Oord, Anton Bochkarev, Sarath Menon, Matteo Rinaldi, Thomas Hammerschmidt, Matous Mrovec, Aidan P. Thompson, Gábor Cśanyi, Christoph Ortner, Ralf Drautz - npj Computational Materials 2021 被引用: 248

  14. Machine learning based interatomic potential for amorphous carbon

    著者: Volker L. Deringer, Gábor Cśanyi - Physical review. B./Physical review. B 2017 被引用: 679

  15. Machine learning potentials for extended systems: a perspective

    著者: Jörg Behler, Gábor Cśanyi - The European Physical Journal B 2021 被引用: 219

  16. MACE-OFF: Short-Range Transferable Machine Learning Force Fields for Organic Molecules

    著者: Dávid Péter Kovács, J. Harry Moore, Nicholas J. Browning, Ilyes Batatia, Joshua T. Horton, Yixuan Pu, Venkat Kapil, William C. Witt, Ioan-Bogdan Magdău, Daniel J. Cole, Gábor Cśanyi - Journal of the American Chemical Society 2025 被引用: 160

  17. Gaussian approximation potentials: A brief tutorial introduction

    著者: Albert P. Bartók, Gábor Cśanyi - International Journal of Quantum Chemistry 2015 被引用: 610

  18. The design space of E(3)-equivariant atom-centred interatomic potentials

    著者: Ilyes Batatia, Simon L. Batzner, Dávid Péter Kovács, Albert Musaelian, Gregor N. C. Simm, Ralf Drautz, Christoph Ortner, Boris Kozinsky, Gábor Csányi - Nature Machine Intelligence, Nat. Mac. Intell. 2025 被引用: 154

  19. Linear Atomic Cluster Expansion Force Fields for Organic Molecules: Beyond RMSE

    著者: Dávid Péter Kovács, Cas van der Oord, Jiri Kucera, Alice E. A. Allen, Daniel J. Cole, Christoph Ortner, Gábor Cśanyi - Journal of Chemical Theory and Computation 2021 被引用: 118

  20. Symmetry-Adapted Machine Learning for Tensorial Properties of Atomistic Systems

    著者: Andrea Grisafi, David M. Wilkins, Gábor Cśanyi, Michele Ceriotti - Physical Review Letters 2018 被引用: 318

  21. Incompleteness of Atomic Structure Representations

    著者: Sergey N. Pozdnyakov, Michael J. Willatt, Albert P. Bartók, Christoph Ortner, Gábor Cśanyi, Michele Ceriotti - Physical Review Letters 2020 被引用: 194

  22. Platelet-derived HMGB1 is a critical mediator of thrombosis

    著者: Sebastian Vogel, Rebecca Bodenstein, Qiwei Chen, Susanne Feil, Robert Feil, Johannes Rheinlaender, Tilman E. Schäffer, Erwin Bohn, Julia-Stefanie Frick, Oliver Borst, Patrick Münzer, Britta Walker, Justin Markel, Gábor Csányi, Patrick J. Pagano, Patricia Loughran, Morgan Jessup, Simon C. Watkins, Grant C. Bullock, Jason L. Sperry, Brian S. Zuckerbraun, Timothy R. Billiar, Michael T. Lotze, Meinrad Gawaz, Matthew D. Neal - Journal of Clinical Investigation 2015 被引用: 368

  23. Identification of novel macropinocytosis inhibitors using a rational screen of Food and Drug Administration‐approved drugs

    著者: Hui‐Ping Lin, Bhupesh Singla, Pushpankur Ghoshal, Jessica L Faulkner, Mary Cherian‐Shaw, Paul O’Connor, Jin‐Xiong She, Eric J. Belin de Chantemèle, Gábor Csányi - British Journal of Pharmacology 2018 被引用: 139

  24. Origins of structural and electronic transitions in disordered silicon

    著者: Volker L. Deringer, Noam Bernstein, Gábor Cśanyi, Chiheb Ben Mahmoud, Michele Ceriotti, Mark Wilson, D. A. Drabold, Stephen R. Elliott - Nature 2021 被引用: 358