M.L. Sanderson

577 total citations
38 papers, 396 citations indexed

About

M.L. Sanderson is a scholar working on Mechanics of Materials, Civil and Structural Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, M.L. Sanderson has authored 38 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Mechanics of Materials, 8 papers in Civil and Structural Engineering and 7 papers in Electrical and Electronic Engineering. Recurrent topics in M.L. Sanderson's work include Flow Measurement and Analysis (15 papers), Water Systems and Optimization (6 papers) and Electrical and Bioimpedance Tomography (6 papers). M.L. Sanderson is often cited by papers focused on Flow Measurement and Analysis (15 papers), Water Systems and Optimization (6 papers) and Electrical and Bioimpedance Tomography (6 papers). M.L. Sanderson collaborates with scholars based in United Kingdom, United States and Canada. M.L. Sanderson's co-authors include Hoi Yeung, Scott B. Patten, JianLi Wang, Tyler Williamson, Andrew GM Bulloch, Kimberly G. Williams, J. Hemp, Amber Levanon Seligson, Katherine Bartley and Sarah E. Dumas and has published in prestigious journals such as PLoS ONE, Clinical Infectious Diseases and The Journal of Infectious Diseases.

In The Last Decade

M.L. Sanderson

34 papers receiving 370 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M.L. Sanderson United Kingdom 10 175 104 94 60 43 38 396
David W. Blodgett United States 9 39 0.2× 64 0.6× 35 0.4× 15 0.3× 29 0.7× 32 364
Vanita Arora India 14 401 2.3× 33 0.3× 84 0.9× 16 0.3× 45 1.0× 42 540
Scott Simmons Canada 11 145 0.8× 48 0.5× 10 0.1× 39 0.7× 67 1.6× 25 538
Hong Xie China 11 67 0.4× 19 0.2× 47 0.5× 15 0.3× 137 3.2× 40 286
John D. Edwards United Kingdom 10 19 0.1× 118 1.1× 16 0.2× 20 0.3× 54 1.3× 61 484
Michael Reese United States 10 38 0.2× 243 2.3× 27 0.3× 31 0.5× 11 0.3× 22 407
Chenghua Jiang China 14 15 0.1× 55 0.5× 119 1.3× 34 0.6× 14 0.3× 35 571
K. Mayer Germany 16 240 1.4× 30 0.3× 145 1.5× 5 0.1× 94 2.2× 38 1.0k

Countries citing papers authored by M.L. Sanderson

Since Specialization
Citations

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

Fields of papers citing papers by M.L. Sanderson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.L. Sanderson. 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 M.L. Sanderson. The network helps show where M.L. Sanderson may publish in the future.

Co-authorship network of co-authors of M.L. Sanderson

This figure shows the co-authorship network connecting the top 25 collaborators of M.L. Sanderson. A scholar is included among the top collaborators of M.L. Sanderson 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 M.L. Sanderson. M.L. Sanderson 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.
Peebles, Kathryn, Michael Witt, M.L. Sanderson, et al.. (2023). Population-based estimates of COVID-19 period prevalence and cumulative monthly incidence in New York City: A comparison of estimates from three surveys, July–August 2020. Survey Practice. 16(1). 1–16. 2 indexed citations
2.
Alroy, Karen A., Aldo Crossa, Sze Yan Liu, et al.. (2023). Can changing neighborhoods influence mental health? An ecological analysis of gentrification and neighborhood-level serious psychological distress—New York City, 2002–2015. PLoS ONE. 18(4). e0283191–e0283191. 8 indexed citations
3.
4.
Osahan, Sukhminder, M.L. Sanderson, Amber Levanon Seligson, et al.. (2021). Prevalence of SARS-CoV-2 Antibodies in New York City Adults, June–October 2020: A Population-Based Survey. The Journal of Infectious Diseases. 224(2). 188–195. 21 indexed citations
5.
Sanderson, M.L., Andrew GM Bulloch, JianLi Wang, et al.. (2020). Predicting death by suicide following an emergency department visit for parasuicide with administrative health care system data and machine learning. EClinicalMedicine. 20. 100281–100281. 38 indexed citations
6.
Dumas, Sarah E., et al.. (2020). A comparison of the four healthy days measures (HRQOL-4) with a single measure of self-rated general health in a population-based health survey in New York City. Health and Quality of Life Outcomes. 18(1). 315–315. 20 indexed citations
7.
Sanderson, M.L., Andrew GM Bulloch, JianLi Wang, Tyler Williamson, & Scott B. Patten. (2019). Predicting death by suicide using administrative health care system data: Can recurrent neural network, one-dimensional convolutional neural network, and gradient boosted trees models improve prediction performance?. Journal of Affective Disorders. 264. 107–114. 23 indexed citations
8.
Sanderson, M.L., Andrew G. M. Bulloch, JianLi Wang, Tyler Williamson, & Scott B. Patten. (2019). Predicting death by suicide using administrative health care system data: Can feedforward neural network models improve upon logistic regression models?. Journal of Affective Disorders. 257. 741–747. 18 indexed citations
9.
Sanderson, M.L., et al.. (2007). Non-Invasive and Non-Intrusive Ultrasonic Techniques with Slug Closure Model for Two-Phase Gas/Liquid Flowrate Measurements. 1 indexed citations
10.
Sanderson, M.L., et al.. (2007). Duration of Breastfeeding Associated with the Breastfeeding Peer Support Program for Husbands and Fathers of Brownsville, Texas WIC Participants. Journal of the American Dietetic Association. 107(8). A111–A111. 2 indexed citations
11.
Westbury, Chris, Lori Buchanan, M.L. Sanderson, Mijke Rhemtulla, & Leah Phillips. (2003). Using genetic programming to discover nonlinear variable interactions. Behavior Research Methods, Instruments, & Computers. 35(2). 202–216. 10 indexed citations
12.
Gelman, Leonid M., Ivan Petrunin, M.L. Sanderson, & Chris Thompson. (2003). Vibro-acoustic deposit detection in pipelines. Insight - Non-Destructive Testing and Condition Monitoring. 45(7). 466–470. 1 indexed citations
13.
Gelman, Leonid M., M.L. Sanderson, & Chris Thompson. (2003). Signal recognition: Fourier transform vs. Hartley transform. Pattern Recognition. 36(12). 2849–2853. 1 indexed citations
14.
Sanderson, M.L. & Hoi Yeung. (2002). Guidelines for the use of ultrasonic non-invasive metering techniques. Flow Measurement and Instrumentation. 13(4). 125–142. 101 indexed citations
15.
16.
Sanderson, M.L.. (1991). Ultrasonic measurements for process control: Theory, techniques, applications. Flow Measurement and Instrumentation. 2(4). 250–250. 49 indexed citations
17.
Sanderson, M.L.. (1990). The redwood flowmeter directory: A source and selection guide for users. Flow Measurement and Instrumentation. 1(4). 241–241. 1 indexed citations
18.
Sanderson, M.L. & Barbara Smith. (1987). Truth, Liberty, Religion; Essays Celebrating Two Hundred Years of Manchester College.. The Economic History Review. 40(4). 655–655. 6 indexed citations
19.
Sanderson, M.L.. (1982). Electromagnetic and ultrasonic flowmeters: their present states and future possibilities. Electronics and Power. 28(2). 161–161. 7 indexed citations
20.
Hemp, J. & M.L. Sanderson. (1981). Electromagnetic flowmeters: a state of the art review. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 7 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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