Leslie Pendrill

2.0k total citations
121 papers, 1.4k citations indexed

About

Leslie Pendrill is a scholar working on Statistics, Probability and Uncertainty, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering. According to data from OpenAlex, Leslie Pendrill has authored 121 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Statistics, Probability and Uncertainty, 30 papers in Atomic and Molecular Physics, and Optics and 19 papers in Electrical and Electronic Engineering. Recurrent topics in Leslie Pendrill's work include Scientific Measurement and Uncertainty Evaluation (33 papers), Advanced Sensor Technologies Research (13 papers) and Atomic and Molecular Physics (12 papers). Leslie Pendrill is often cited by papers focused on Scientific Measurement and Uncertainty Evaluation (33 papers), Advanced Sensor Technologies Research (13 papers) and Atomic and Molecular Physics (12 papers). Leslie Pendrill collaborates with scholars based in Sweden, United States and Germany. Leslie Pendrill's co-authors include K. Niemax, Jeanette Melin, William Fisher, C.-J. Lorenzen, Stefan Cano, G W Series, J. C. Gay, Robert Luypaert, Birgitta Berglund and Mats E. Nilsson and has published in prestigious journals such as Scientific Reports, International Journal of Environmental Research and Public Health and Physics Letters A.

In The Last Decade

Leslie Pendrill

109 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Leslie Pendrill Sweden 23 429 411 186 142 141 121 1.4k
Haim Shore Israel 21 925 2.2× 318 0.8× 40 0.2× 62 0.4× 178 1.3× 90 1.7k
Thomas J. Harris Canada 24 69 0.2× 716 1.7× 20 0.1× 82 0.6× 318 2.3× 76 2.9k
Paul Baybutt United States 20 432 1.0× 667 1.6× 69 0.4× 26 0.2× 70 0.5× 77 1.4k
Michael Bortz Germany 29 1.2k 2.9× 61 0.1× 120 0.6× 302 2.1× 803 5.7× 145 2.7k
Michael Thompson United States 18 61 0.1× 50 0.1× 45 0.2× 125 0.9× 168 1.2× 82 1.2k
A. Goldman United States 9 49 0.1× 143 0.3× 26 0.1× 42 0.3× 56 0.4× 29 1.0k
Jonas Lundberg Sweden 19 60 0.1× 513 1.2× 6 0.0× 27 0.2× 37 0.3× 110 1.8k
Pedro Fernández de Córdoba Spain 23 375 0.9× 9 0.0× 36 0.2× 145 1.0× 147 1.0× 147 1.8k
Patrick Riley United States 16 154 0.4× 10 0.0× 91 0.5× 195 1.4× 170 1.2× 25 2.4k
Ken‐Yu Lin Taiwan 21 199 0.5× 163 0.4× 13 0.1× 53 0.4× 16 0.1× 104 1.5k

Countries citing papers authored by Leslie Pendrill

Since Specialization
Citations

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

Fields of papers citing papers by Leslie Pendrill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leslie Pendrill

This figure shows the co-authorship network connecting the top 25 collaborators of Leslie Pendrill. A scholar is included among the top collaborators of Leslie Pendrill based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Leslie Pendrill. Leslie Pendrill is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Fillmer, Ariane, Semiha Aydın, Bernd Ittermann, et al.. (2024). Plasma p‐tau181 and GFAP reflect 7T MR‐derived changes in Alzheimer's disease: A longitudinal study of structural and functional MRI and MRS. Alzheimer s & Dementia. 20(12). 8684–8699. 6 indexed citations
2.
Melin, Jeanette, et al.. (2023). Traceability and comparability through crosswalks with the NeuroMET Memory Metric. Scientific Reports. 13(1). 5179–5179. 1 indexed citations
3.
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Melin, Jeanette, et al.. (2023). Forward and Backward Recalling Sequences in Spatial and Verbal Memory Tasks: What Do We Measure?. Entropy. 25(5). 813–813. 2 indexed citations
5.
Pendrill, Leslie, Jeanette Melin, Anne Stavelin, & Gunnar Nordin. (2023). Modernising Receiver Operating Characteristic (ROC) Curves. Algorithms. 16(5). 253–253. 8 indexed citations
6.
Melin, Jeanette, Petronella Kettunen, Anders Wallin, & Leslie Pendrill. (2023). Entropy-based explanations of serial position and learning effects in ordinal responses to word list tests. ACTA IMEKO. 12(4). 1–5. 1 indexed citations
7.
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Pendrill, Leslie, et al.. (2021). 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. 13(1). 58–69. 3 indexed citations
9.
Melin, Jeanette, Stefan Cano, & Leslie Pendrill. (2021). The Role of Entropy in Construct Specification Equations (CSE) to Improve the Validity of Memory Tests. Entropy. 23(2). 212–212. 13 indexed citations
10.
Pendrill, Leslie, et al.. (2021). Reducing search times and entropy in hospital emergency departments with real-time location systems. Lund University Publications (Lund University). 1–11. 3 indexed citations
11.
Melin, Jeanette, Stephanie E. Bonn, Leslie Pendrill, & Ylva Trolle Lagerros. (2020). A Questionnaire for Assessing User Satisfaction With Mobile Health Apps: Development Using Rasch Measurement Theory. JMIR mhealth and uhealth. 8(5). e15909–e15909. 35 indexed citations
12.
Melin, Jeanette, et al.. (2019). Rasch analysis of the Patient Participation in Rehabilitation Questionnaire (PPRQ). Journal of Evaluation in Clinical Practice. 26(1). 248–255. 7 indexed citations
13.
Mari, Luca, Charles D. Ehrlich, & Leslie Pendrill. (2018). Measurement units as quantities of objects or values of quantities: a discussion. Metrologia. 55(5). 716–721. 6 indexed citations
14.
Pendrill, Leslie, et al.. (2018). Rationale and Design of a Novel Method to Assess the Usability of Body-Worn Absorbent Incontinence Care Products by Caregivers. Journal of Wound Ostomy and Continence Nursing. 45(5). 456–464. 5 indexed citations
15.
Pendrill, Leslie. (2017). Assuring measurement quality in person-centred healthcare. Measurement Science and Technology. 29(3). 34003–34003. 18 indexed citations
16.
Pendrill, Leslie & William Fisher. (2015). Counting and Quantification: Comparing Psychometric and Metrological Perspectives on Visual Perceptions of Number. SSRN Electronic Journal.
17.
Nilsson, Mats E., et al.. (2015). Travel behaviour change in old age: the role of critical incidents in public transport. European Journal of Ageing. 13(1). 75–83. 25 indexed citations
18.
Pendrill, Leslie, et al.. (2006). Improved determination of the gas flow rate for UHV and leak metrology with laser refractometry. Measurement Science and Technology. 17(10). 2767–2772. 14 indexed citations
19.
Pendrill, Leslie, et al.. (1991). Least-squares calculation of laser frequency differences. STIN. 92. 25520. 1 indexed citations
20.
Pendrill, Leslie, et al.. (1989). Comparison of I2-stabilised He-Ne lasers.. KTH Publication Database DiVA (KTH Royal Institute of Technology). 90. 12014. 2 indexed citations

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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