Amanda Allard

21 papers receiving 344 citations

Peers

Amanda Allard
Comparison fields: 5 of 73
  • Clinical Psychology 150
  • Psychiatry and Mental health 101
  • Speech and Hearing 41
  • Safety Research 49
  • Occupational Therapy 24
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Countries citing papers authored by Amanda Allard

Since Specialization
Citations

This map shows the geographic impact of Amanda Allard'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 Amanda Allard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amanda Allard more than expected).

Fields of papers citing papers by Amanda Allard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amanda Allard. 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 Amanda Allard. The network helps show where Amanda Allard may publish in the future.

Co-authors

The 25 scholars most cited alongside Amanda Allard, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Amanda Allard Line = papers co-authored together Amanda Allard links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

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Full Issue Download Vol. 13 No. 1 2021 The Importance of the Measurement Infrastructure in Economic Recovery from the COVID-19 Pandemic Richard J. C. Brown , Fiona Auty, Eugenio Renedo, Mike King NCSLI Measure | Vol. 13 No. 1 (2021) | doi.org/10.51843/measure.13.1.1 Publisher NCSL International | Published February 2021 | Pages 18-21 Abstract: This paper describes the many, evidenced-based benefits to the economy of a well-developed measurement infrastructure. In particular, it explains how assuring confidence in measurement may be used to accelerate economic recovery from the COVID-19 pandemic including in emerging sectors such as the digital economy. Recommendations are made for providing near term support for national economic recovery whilst also demonstrating the advantages of sustained development of the measurement infrastructure in the medium-term to maximize the potential of future innovative and disruptive technologies. These recommendations, whilst focused on consideration of the UK, should apply globally. References: [1] G. Tassey, "Underinvestment in public good technologies," J Technol. Transfer, Vol. 30, pp. 89-113, 2004. https://doi.org/10.1007/s10961-004-4360-0 [2] M. King, and E. Renedo, "Achieving the 2.4% GDP target: The role of measurement in increasing investment in R&D and innovation," NPL Report IEA 3, NPL, Teddington, UK, March 2020. [3] M. King and G. Tellett, "The National Measurement System: A Customer Survey for Three of the Core Labs in the National Measurement System," NMS Customer Survey Report 2018, NPL Teddington, UK, April 2020 [4] H. Kunzmann, T. Pfeifer, R. Schmitt, H. Schwenke, and A.Weckenmann, "Productive metrology-adding value to manufacture," CIRP Annals, vol. 54, pp. 155-168, 2005. https://doi.org/10.1016/S0007-8506(07)60024-9 [5] N. G. Orji, R. G. Dixson, A. Cordes, B. D. Bunday, and J. A. Allgair, "Measurement traceability and quality assurance in a nanomanufacturing environment," Instrumentation, Metrology, and Standards for Nanomanufacturing III, Proceedings Vol. 7405, 740505, August 2009. https://doi.org/10.1117/12.826606 [6] Belmana, Analysis for Policy "Public Support for Innovation and Business Outcomes," Belmana: London, UK, 2020. [7] R. Hawkins, Standards, systems of innovation and policy in Handbook of Innovation and Standards. Cheltenham, UK: Edward Elgar, 2019. [8] N. Nwaigbo, and M. King, "Evaluating the Impact of the NMS Consultancy Projects on Supported Firms (Working Paper)" NPL, Teddington, UK, 2020. [9] M. King, R. Lambert, and P. Temple, Measurement, standards and productivity spillovers in Handbook of Innovation and Standards. Cheltenham, UK: Edward Elgar, 2017, p. 162. https://doi.org/10.4337/9781783470082.00016 [10] A. Font, K. de Hoogh, M. Leal-Sanchez, D. C. Ashworth, R. J. C. Brown, A. L. Hansell, and G. W. Fuller, "Using metal ratios to detect emissions from municipal waste incinerators in ambient air pollution data," Atmos. Environ., vol. 113, pp. 177-186, July 2015. https://doi.org/10.1016/j.atmosenv.2015.05.002 [11] S. Giannis, M. R. L. Gower, G. D. Sims, G. Pask, and G. Edwards, "Increasing UK competitiveness by enhancing the composite materials regulatory infrastructure," NPL Report MAT 90, NPL, Teddington, UK, October 2019. [12] HM Government, UK Research and Development Roadmap, BEIS, London, July 2020. [13] M. R. Mehra, S. S. Desai, F. Ruschitzka, and A. N. Patel, "Hydroxychloroquine or chloroquine with or without a macrolide for treatment of COVID-19: a multinational registry analysis," Lancet, 2020, https://doi.org/10.1016/S0140-6736(20)31180-6 (Print: ISSN 1931-5775) (Online: ISSN 2381-0580) ©2021 NCSL International Smart Power Supply Calibration System Iraj Vasaeli , Brandon Umansky NCSLI Measure | Vol. 13 No. 1 (2021) | doi.org/10.51843/measure.13.1.2 Publisher: NCSL International | Published February 2021 | Pages 22-27 Abstract: This paper details the development of an automated procedure to conduct calibrations of power supplies at Jet Propulsion Laboratory, California Institute of Technology (JPL). The fundamentals of power supply calibrations are given, and discussion on the method by which this custom software handles that calibration. Additionally, this technique provides real time uncertainty quantification of the calibrations. This automated system has demonstrated a time savings over existing automated techniques in use today. References: [1] Keysight, "Low-Profile Modular Power System Series N6700 Service Guide", Part Number: 5969 2938, Edition 7, January 2015. [2] B. N. Taylor and C. E. Kuyatt, "Guidelines for Evaluating and Expressing the Uncertainty of NIST Measurement Results", NIST Technical Note 1297, 1994. https://doi.org/10.6028/NIST.TN.1297 [3] JCGM, "Evaluation of measurement data - Guide to the expression of uncertainty in measurement," first edition (GUM 1995 with minor corrections)," JCGM 100, 2008. (Print: ISSN 1931-5775) (Online: ISSN 2381-0580) © 2021 NCSL International Computer
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About Amanda Allard

Amanda Allard is a scholar working on Clinical Psychology, Sociology and Political Science, Education, Pediatrics, Perinatology and Child Health and Speech and Hearing, having authored 22 papers that have together received 360 indexed citations. Recurring topics across this work include Family and Disability Support Research (10 papers), Infant Development and Preterm Care (5 papers), Parental Involvement in Education (4 papers), Cerebral Palsy and Movement Disorders (3 papers), Family Support in Illness (3 papers), Adolescent and Pediatric Healthcare (3 papers), Emergency and Acute Care Studies (2 papers) and Family and Patient Care in Intensive Care Units (2 papers). The work is most often cited by research in Clinical Psychology (150 citations), Psychiatry and Mental health (101 citations), Speech and Hearing (41 citations), Safety Research (49 citations) and Occupational Therapy (24 citations). Amanda Allard has collaborated with scholars based in United Kingdom, Australia and Netherlands. Frequent co-authors include Christopher Morris, Astrid Janssens, Andrew Fellowes, Valerie Shilling, Bryony Beresford, Morwenna Rogers, Alan Tennant, Richard Tomlinson, Stuart Logan and Katherine Cowan. Their work appears in journals such as BMJ Open, Developmental Medicine & Child Neurology, Frontiers in Psychiatry, Frontiers in Psychology and Journal of Autism and Developmental Disorders.

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.

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