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David G. Lloyd

Active 1965–2026

193
Papers
29,507
Citations
95
h-index
184
i10-index

Citations

Citations per year for David G. Lloyd1950: 1 citations1959: 1 citations1969: 1 citations1974: 2 citations1975: 4 citations1976: 4 citations1977: 8 citations1978: 9 citations1979: 20 citations1980: 24 citations1981: 23 citations1982: 25 citations1983: 19 citations1984: 34 citations1985: 18 citations1986: 32 citations1987: 27 citations1988: 21 citations1989: 37 citations1990: 35 citations1991: 37 citations1992: 49 citations1993: 52 citations1994: 36 citations1995: 34 citations1996: 60 citations1997: 46 citations1998: 43 citations1999: 58 citations2000: 86 citations2001: 70 citations2002: 69 citations2003: 101 citations2004: 117 citations2005: 178 citations2006: 104 citations2007: 137 citations2008: 121 citations2009: 179 citations2010: 176 citations2011: 170 citations2012: 228 citations2013: 192 citations2014: 223 citations2015: 218 citations2016: 198 citations2017: 206 citations2018: 256 citations2019: 690 citations2020: 724 citations2021: 776 citations2022: 671 citations2023: 475 citations2024: 747 citations2025: 328 citations2026: 39 citations1951–1958: no citations, so these years are not shown1960–1968: no citations, so these years are not shown1970–1973: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 1,578 citing papers, 22.4% of this breakdownChina: 642 citing papers, 9.1% of this breakdownUnited Kingdom: 591 citing papers, 8.4% of this breakdownAustralia: 588 citing papers, 8.4% of this breakdownCanada: 411 citing papers, 5.8% of this breakdownGermany: 362 citing papers, 5.1% of this breakdownItaly: 268 citing papers, 3.8% of this breakdownFrance: 219 citing papers, 3.1% of this breakdownNetherlands: 198 citing papers, 2.8% of this breakdownSwitzerland: 177 citing papers, 2.5% of this breakdownJapan: 177 citing papers, 2.5% of this breakdownSpain: 145 citing papers, 2.1% of this breakdown
0%22.4%Other 24%

Institutions

Fields

  • Medicine37%
  • Engineering26%
  • Agricultural and Biological Sciences13.9%
  • Biochemistry, Genetics and Molecular Biology6.1%
  • Computer Science6.1%
  • Health Professions4.6%
  • Other6.3%

Topics

  • Muscle activation and electromyography studies9%
  • Knee injuries and reconstruction techniques5.4%
  • Plant and animal studies4.8%
  • Sports injuries and prevention4.4%
  • Lower Extremity Biomechanics and Pathologies4.3%
  • Total Knee Arthroplasty Outcomes3.5%
  • Other68.6%

Coauthors

All papers

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  1. An EMG-driven musculoskeletal model to estimate muscle forces and knee joint moments in vivo

    Authors: David G. Lloyd, Thor F. Besier - Journal of Biomechanics 2003 cited by 1,209

  2. Neuromusculoskeletal Modeling: Estimation of Muscle Forces and Joint Moments and Movements from Measurements of Neural Command

    Authors: Thomas S. Buchanan, David G. Lloyd, Kurt Manal, Thor F. Besier - Journal of Applied Biomechanics 2004 cited by 929

  3. CEINMS: A toolbox to investigate the influence of different neural control solutions on the prediction of muscle excitation and joint moments during dynamic motor tasks

    Authors: Claudio Pizzolato, David G. Lloyd, Massimo Sartori, Elena Ceseracciu, Thor F. Besier, Benjamin J. Fregly, Monica Reggiani - Journal of Biomechanics 2015 cited by 358

  4. Grand challenge competition to predict in vivo knee loads

    Authors: Benjamin J. Fregly, Thor F. Besier, David G. Lloyd, Scott L. Delp, Scott A. Banks, Marcus G. Pandy, Darryl D. DʼLima - Journal of Orthopaedic Research® 2011 cited by 599

  5. Non-negative matrix factorisation is the most appropriate method for extraction of muscle synergies in walking and running

    Authors: Mohammad Fazle Rabbi, Claudio Pizzolato, David G. Lloyd, Christopher P. Carty, Daniel Devaprakash, Laura E. Diamond - Scientific Reports 2020 cited by 173

  6. EMG-Driven Forward-Dynamic Estimation of Muscle Force and Joint Moment about Multiple Degrees of Freedom in the Human Lower Extremity

    Authors: Massimo Sartori, Monica Reggiani, Dario Farina, David G. Lloyd - PLoS ONE 2012 cited by 338

  7. Estimation of musculotendon parameters for scaled and subject specific musculoskeletal models using an optimization technique

    Authors: Luca Modenese, Elena Ceseracciu, Monica Reggiani, David G. Lloyd - Journal of Biomechanics 2015 cited by 206

  8. Comprehensive characterization of cytochrome P450 isozyme selectivity across chemical libraries

    Authors: Henrike Veith, Noel Southall, Ruili Huang, Tim James, Darren Fayne, Natalia V. Artemenko, Min Shen, James Inglese, Christopher P. Austin, David G. Lloyd, Douglas S. Auld - Nature Biotechnology 2009 cited by 219

  9. Neural Data-Driven Musculoskeletal Modeling for Personalized Neurorehabilitation Technologies

    Authors: Massimo Sartori, David G. Lloyd, Dario Farina - IEEE Transactions on Biomedical Engineering, IEEE Trans. Biomed. Eng. 2016 cited by 182

  10. Hybrid neuromusculoskeletal modeling to best track joint moments using a balance between muscle excitations derived from electromyograms and optimization

    Authors: Massimo Sartori, Dario Farina, David G. Lloyd - Journal of Biomechanics 2014 cited by 234

  11. Multidimensional Ground Reaction Forces and Moments From Wearable Sensor Accelerations via Deep Learning

    Authors: William R. Johnson, Ajmal Mian, Mark A. Robinson, Jasper Verheul, David G. Lloyd, Jacqueline A. Alderson - IEEE Transactions on Biomedical Engineering, IEEE Trans. Biomed. Eng. 2020 cited by 118

  12. Establishing outcome measures in early knee osteoarthritis

    Authors: Carolyn A. Emery, Jackie L. Whittaker, Armaghan Mahmoudian, Stefan Lohmander, Ewa M. Roos, Kim L. Bennell, Clodagh Toomey, Raylene A. Reimer, Dylan Thompson, Janet L. Ronsky, Gregor Kuntze, David G. Lloyd, Thomas P. Andriacchi, Martin Englund, Virginia B. Kraus, Elena Losina, Sita Bierma‐Zeinstra, J. Runhaar, George Peat, Frank P. Luyten, Lynn Snyder‐Mackler, May Arna Risberg, Ali Mobasheri, Ali Guermazi, David J. Hunter, Nigel Arden - Nature Reviews Rheumatology 2019 cited by 153

  13. Programmable mechanical stimulation influences tendon homeostasis in a bioreactor system

    Authors: Tao Wang, Zhen Lin, Robert E. Day, Bruce S. Gardiner, Euphemie Landao‐Bassonga, Jonas Rubenson, Thomas B. Kirk, David W. Smith, David G. Lloyd, Gerard Hardisty, Allan Wang, Qiujian Zheng, Minghao Zheng - Biotechnology and Bioengineering 2012 cited by 131

  14. Non-invasive approaches to functional recovery after spinal cord injury: Therapeutic targets and multimodal device interventions

    Authors: Claudio Pizzolato, Mehmet A. Gunduz, Dinesh Palipana, Jingnan Wu, Gary Grant, Susan Hall, Rachel Dennison, Ross Zafonte, David G. Lloyd, Yang D. Teng - Experimental Neurology 2021 cited by 58

  15. Static optimization underestimates antagonist muscle activity at the glenohumeral joint: A musculoskeletal modeling study

    Authors: azadeh kian, Claudio Pizzolato, Mark Halaki, Karen Ginn, David G. Lloyd, Darren Reed, David C. Ackland - Journal of Biomechanics 2019 cited by 80

  16. Reliability of four models for clinical gait analysis

    Authors: Hans Kainz, David Graham, Julie Edwards, Henry P.J. Walsh, Sheanna Maine, Roslyn N. Boyd, David G. Lloyd, Luca Modenese, Christopher P. Carty - Gait & Posture 2017 cited by 174

  17. Predicting athlete ground reaction forces and moments from motion capture

    Authors: William R. Johnson, Ajmal Mian, Cyril J. Donnelly, David G. Lloyd, Jacqueline A. Alderson - Medical & Biological Engineering & Computing, Medical Biol. Eng. Comput. 2018 cited by 99

  18. Predicting Athlete Ground Reaction Forces and Moments From Spatio-Temporal Driven CNN Models

    Authors: William R. Johnson, Jacqueline A. Alderson, David G. Lloyd, Ajmal Mian - IEEE Transactions on Biomedical Engineering, IEEE Trans. Biomed. Eng. 2018 cited by 95

  19. A calibrated EMG-informed neuromusculoskeletal model can appropriately account for muscle co-contraction in the estimation of hip joint contact forces in people with hip osteoarthritis

    Authors: Hoa Hoang, Laura E. Diamond, David G. Lloyd, Claudio Pizzolato - Journal of Biomechanics 2018 cited by 91

  20. Subject-specific calibration of neuromuscular parameters enables neuromusculoskeletal models to estimate physiologically plausible hip joint contact forces in healthy adults

    Authors: Hoa Hoang, Claudio Pizzolato, Laura E. Diamond, David G. Lloyd - Journal of Biomechanics 2018 cited by 79

  21. Multi-level personalization of neuromusculoskeletal models to estimate physiologically plausible knee joint contact forces in children

    Authors: Giorgio Davico, David G. Lloyd, Christopher P. Carty, Bryce A. Killen, Daniel Devaprakash, Claudio Pizzolato - Biomechanics and Modeling in Mechanobiology 2022 cited by 40

  22. Changing Sidestep Cutting Technique Reduces Knee Valgus Loading

    Authors: Alasdair R. Dempsey, David G. Lloyd, Bruce Elliott, Julie R. Steele, Bridget J. Munro - The American Journal of Sports Medicine 2009 cited by 267

  23. Real-time inverse kinematics and inverse dynamics for lower limb applications using OpenSim

    Authors: Claudio Pizzolato, Monica Reggiani, Luca Modenese, David G. Lloyd - Computer Methods in Biomechanics & Biomedical Engineering 2016 cited by 103

  24. Evaluating cost function criteria in predicting healthy gait

    Authors: Kirsten Veerkamp, Niels Waterval, Thomas Geijtenbeek, Christopher P. Carty, David G. Lloyd, Jaap Harlaar, Marjolein M. van der Krogt - Journal of Biomechanics 2021 cited by 81