Matthew J. Smith

1.4k total citations
23 papers, 980 citations indexed

About

Matthew J. Smith is a scholar working on Statistics and Probability, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Matthew J. Smith has authored 23 papers receiving a total of 980 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Statistics and Probability, 4 papers in Pathology and Forensic Medicine and 4 papers in Oncology. Recurrent topics in Matthew J. Smith's work include Advanced Causal Inference Techniques (5 papers), Lymphoma Diagnosis and Treatment (4 papers) and Statistical Methods and Bayesian Inference (3 papers). Matthew J. Smith is often cited by papers focused on Advanced Causal Inference Techniques (5 papers), Lymphoma Diagnosis and Treatment (4 papers) and Statistical Methods and Bayesian Inference (3 papers). Matthew J. Smith collaborates with scholars based in United Kingdom, United States and Spain. Matthew J. Smith's co-authors include Ken Resnicow, Janice Baranowski, Tom Baranowski, Mindy M. Syfert, David A. Coomes, Colleen Doyle, Dongqing Terry Wang, Lillian S. Lin, Marsha Davis and Camille Maringe and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and British Journal of Cancer.

In The Last Decade

Matthew J. Smith

22 papers receiving 935 citations

Peers

Countries citing papers authored by Matthew J. Smith

Since Specialization

Citations

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

Fields of papers citing papers by Matthew J. Smith

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew J. Smith. 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 Matthew J. Smith. The network helps show where Matthew J. Smith may publish in the future.

Co-authorship network of co-authors of Matthew J. Smith

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew J. Smith. A scholar is included among the top collaborators of Matthew J. Smith 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 Matthew J. Smith. Matthew J. Smith is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Performance of Cross‐Validated Targeted Maximum Likelihood Estimation 2025 ·Statistics in Medicine ·Matthew J. Smith, Rachael V. Phillips, Camille Maringe, Miguel Ángel Luque-Fernández	1
2	Comparison of common multiple imputation approaches: An application of logistic regression with an interaction 2024 ·LSHTM Research Online (London School of Hygiene and Tropical Medicine) ·Matthew J. Smith, Matteo Quartagno, Aurélien Belot, Bernard Rachet, Edmund Njeru Njagi	0
3	Application of targeted maximum likelihood estimation in public health and epidemiological studies: a systematic review 2023 ·Annals of Epidemiology ·Matthew J. Smith, Rachael V. Phillips, Miguel Ángel Luque-Fernández, Camille Maringe	18
4	Application of targeted maximum likelihood estimation in public health and epidemiological studies: a systematic review 2023 ·arXiv (Cornell University) ·Matthew J. Smith, Rachael V. Phillips, Miguel Ángel Luque-Fernández, Camille Maringe	1
5	Investigating the inequalities in route to diagnosis amongst patients with diffuse large B-cell or follicular lymphoma in England 2021 ·British Journal of Cancer ·Matthew J. Smith, Miguel Ángel Luque-Fernández, Aurélien Belot, Matteo Quartagno, Audrey Bonaventure, Sara Benítez Majano, Bernard Rachet, Edmund Njeru Njagi	2
6	Introduction to computational causal inference using reproducible Stata, R, and Python code: A tutorial 2021 ·Statistics in Medicine ·Matthew J. Smith, Mohammad Alì Mansournia, Camille Maringe, Paul N. Zivich, Stephen R. Cole, Clémence Leyrat, Aurélien Belot, Bernard Rachet, Miguel Ángel Luque-Fernández	43
7	Association between multimorbidity and socioeconomic deprivation on short-term mortality among patients with diffuse large B-cell or follicular lymphoma in England: a nationwide cohort study 2021 ·BMJ Open ·Matthew J. Smith, Edmund Njeru Njagi, Aurélien Belot, Clémence Leyrat, Audrey Bonaventure, Sara Benítez Majano, Bernard Rachet, Miguel Ángel Luque-Fernández	6
8	Excess Mortality by Multimorbidity, Socioeconomic, and Healthcare Factors, amongst Patients Diagnosed with Diffuse Large B-Cell or Follicular Lymphoma in England 2021 ·Cancers ·Matthew J. Smith, Aurélien Belot, Matteo Quartagno, Miguel Ángel Luque-Fernández, Audrey Bonaventure, Susan Gachau, Sara Benítez Majano, Bernard Rachet, Edmund Njeru Njagi	7
9	Reflection on modern methods: trial emulation in the presence of immortal-time bias. Assessing the benefit of major surgery for elderly lung cancer patients using observational data 2020 ·International Journal of Epidemiology ·Camille Maringe, Sara Benítez Majano, Aimilia Exarchakou, Matthew J. Smith, Bernard Rachet, Aurélien Belot, Clémence Leyrat	116
10	Getting value from artificial intelligence in agriculture 2018 ·Animal Production Science ·Matthew J. Smith	145
11	Recommendations to Improve Downloads of Large Earth Observation Data 2018 ·Data Science Journal ·Rahul Ramachandran, Christopher Lynnes, Kathleen Baynes, Kevin Murphy, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Tyler Erickson, (unknown), (unknown), (unknown), Matthew J. Smith	5
12	Einfluss des Klimawandels auf die terrestrischen Wassersysteme in Deutschland. Eine Analyse ausgesuchter Studien der Jahre 2009 bis 2013 2017 ·MPG.PuRe (Max Planck Society) ·(unknown), (unknown), Stefan Hagemann, Matthew J. Smith, Harry Vereecken, Frank Wendland	1
13	Correction: The Effects of Sampling Bias and Model Complexity on the Predictive Performance of MaxEnt Species Distribution Models 2013 ·PLoS ONE ·Mindy M. Syfert, Matthew J. Smith, David A. Coomes	110
14	An Interactive Online Education System for the Supplemental Nutrition Program 2009 ·SHILAP Revista de lepidopterología ·Chia-Chi Teng, Rickelle Richards, (unknown), (unknown), (unknown), (unknown), Matthew J. Smith, (unknown)	1
15	Patient satisfaction with health care providers in South Africa: the influences of race and socioeconomic status 2005 ·International Journal for Quality in Health Care ·Neil Myburgh, Geetesh Solanki, Matthew J. Smith, Ratilal Lalloo	62
16	The 'psychic pet' phenomenon: a reply to Rupert Sheldrake 2000 ·University of Hertfordshire Research Archive (University of Hertfordshire) ·Richard Wiseman, Matthew J. Smith, (unknown)	3
17	How best to measure implementation of school health curricula: a comparison of three measures 1998 ·Health Education Research ·Ken Resnicow, (unknown), Matthew J. Smith, (unknown), Tom Baranowski, Janice Baranowski, C. Doyle, David T. Wang	97
18	Can animals detect when their owners are returning home? An experimental test of the ‘psychic pet‘ phenomenon 1998 ·British Journal of Psychology ·Richard Wiseman, Matthew J. Smith, (unknown)	6
19	Toward Reliable Estimation of Servings of Fruit and Vegetables and Fat Practices from Adults’ 7-Day Food Records 1997 ·Journal of Nutrition Education ·Tom Baranowski, Janice Baranowski, Colleen Doyle, Dongqing Terry Wang, Matthew J. Smith, Lillian S. Lin, Marsha Davis Hearn, Ken Resnicow, William O. Thompson	19
20	INDIVIDUAL DIFFERENCES IN INTERVIEWER RATINGS: THE IMPACT OF STANDARDIZATION, CONSENSUS DISCUSSION, AND SAMPLING ERROR ON THE VALIDITY OF A STRUCTURED INTERVIEW 1996 ·Personnel Psychology ·Elaine D. Pulakos, Neal Schmitt, David J. Whitney, Matthew J. Smith	52

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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