Tim P. Morris

8.0k total citations · 2 hit papers
128 papers, 4.7k citations indexed

About

Tim P. Morris is a scholar working on Statistics and Probability, Economics and Econometrics and Statistics, Probability and Uncertainty. According to data from OpenAlex, Tim P. Morris has authored 128 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Statistics and Probability, 27 papers in Economics and Econometrics and 19 papers in Statistics, Probability and Uncertainty. Recurrent topics in Tim P. Morris's work include Statistical Methods in Clinical Trials (35 papers), Advanced Causal Inference Techniques (28 papers) and Health Systems, Economic Evaluations, Quality of Life (24 papers). Tim P. Morris is often cited by papers focused on Statistical Methods in Clinical Trials (35 papers), Advanced Causal Inference Techniques (28 papers) and Health Systems, Economic Evaluations, Quality of Life (24 papers). Tim P. Morris collaborates with scholars based in United Kingdom, United States and Netherlands. Tim P. Morris's co-authors include Brennan C Kahan, Ian R. White, James R. Carpenter, Caroline J Doré, Patrick Royston, Vipul Jairath, Suzie Cro, Michael G. Kenward, Alison H. McGregor and Robert Carr and has published in prestigious journals such as The Lancet, JAMA and SHILAP Revista de lepidopterología.

In The Last Decade

Tim P. Morris

121 papers receiving 4.6k citations

Hit Papers

Tuning multiple imputatio... 2014 2026 2018 2022 2014 2024 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Tuning multiple imputation by predictive mean matching and local residual draws
    2014 340 citations Tim P. Morris et al. BMC Medical Research Methodology profile →
  2. The estimands framework: a primer on the ICH E9(R1) addendum
    2024 50 citations Brennan C Kahan, Tim P. Morris et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Tim P. Morris 848 661 568 541 500 128 4.7k
Shaun R. Seaman 1.2k 1.5× 314 0.5× 322 0.6× 703 1.3× 345 0.7× 91 5.2k
Elizabeth Williamson 524 0.6× 1.2k 1.8× 580 1.0× 700 1.3× 653 1.3× 132 7.2k
Joie Ensor 388 0.5× 963 1.5× 532 0.9× 931 1.7× 841 1.7× 66 5.1k
John Concato 459 0.5× 882 1.3× 607 1.1× 743 1.4× 892 1.8× 38 6.2k
Rebecca Turner 1.1k 1.2× 605 0.9× 363 0.6× 574 1.1× 409 0.8× 66 4.9k
Marshall M. Joffe 1.2k 1.4× 1.0k 1.5× 1.1k 1.9× 911 1.7× 1.1k 2.1× 113 8.5k
Gareth Ambler 333 0.4× 861 1.3× 569 1.0× 1.0k 1.9× 950 1.9× 150 5.4k
Mike Bradburn 448 0.5× 1.5k 2.3× 1.2k 2.2× 855 1.6× 533 1.1× 164 8.1k
Rumana Omar 701 0.8× 741 1.1× 658 1.2× 818 1.5× 1.6k 3.3× 126 6.9k
Neil Hawkins 342 0.4× 923 1.4× 576 1.0× 651 1.2× 561 1.1× 150 5.5k

Countries citing papers authored by Tim P. Morris

Since Specialization
Citations

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

Fields of papers citing papers by Tim P. Morris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tim P. Morris. 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 Tim P. Morris. The network helps show where Tim P. Morris may publish in the future.

Co-authorship network of co-authors of Tim P. Morris

This figure shows the co-authorship network connecting the top 25 collaborators of Tim P. Morris. A scholar is included among the top collaborators of Tim P. Morris 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 Tim P. Morris. Tim P. Morris 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.
Major‐Smith, Daniel, Gemma Clayton, Chin Yang Shapland, et al.. (2024). Accounting for bias due to outcome data missing not at random: comparison and illustration of two approaches to probabilistic bias analysis: a simulation study. BMC Medical Research Methodology. 24(1). 278–278. 3 indexed citations
2.
Cox, Nicholas J. & Tim P. Morris. (2024). Speaking Stata: The joy of sets: Graphical alternatives to Euler and Venn diagrams. The Stata Journal Promoting communications on statistics and Stata. 24(2). 329–361. 1 indexed citations
3.
Sullivan, Thomas, Tim P. Morris, Brennan C Kahan, Alana R. Cuthbert, & Lisa N Yelland. (2024). Categorisation of continuous covariates for stratified randomisation: How should we adjust?. Statistics in Medicine. 43(11). 2083–2095. 4 indexed citations
4.
Morris, Tim P., Andrew Copas, Prasanna Samuel, et al.. (2023). An observer-blinded, cluster randomised trial of a typhoid conjugate vaccine in an urban South Indian cohort. Trials. 24(1). 492–492. 3 indexed citations
5.
Yelland, Lisa N, Jennie Louise, Brennan C Kahan, et al.. (2023). Handling misclassified stratification variables in the analysis of randomised trials with continuous outcomes. Statistics in Medicine. 42(19). 3529–3546. 3 indexed citations
6.
Geloven, Nan van, Sonja A. Swanson, Chava L. Ramspek, et al.. (2020). Prediction meets causal inference: the role of treatment in clinical prediction models. Data Archiving and Networked Services (DANS). 58 indexed citations
7.
Troxel, Andrea B., Scott D. Halpern, Kevin G. Volpp, et al.. (2020). Analysis of multicenter clinical trials with very low event rates. Trials. 21(1). 917–917. 4 indexed citations
8.
Morris, Tim P., et al.. (2020). How are missing data in covariates handled in observational time-to-event studies in oncology? A systematic review. BMC Medical Research Methodology. 20(1). 134–134. 33 indexed citations
9.
Petersen, Irene, Catherine Welch, Irwin Nazareth, et al.. (2019). <p>Health indicator recording in UK primary care electronic health records: key implications for handling missing data</p>. Clinical Epidemiology. Volume 11. 157–167. 40 indexed citations
10.
Wilson, Emma, Caroline Free, Tim P. Morris, et al.. (2017). Effect of an internet-based sexually transmitted infection testing and results service on diagnoses and testing uptake: a single-blind, randomised controlled trial. The Lancet. 390. S95–S95. 1 indexed citations
11.
Morris, Tim P., et al.. (2007). Sexual violence: weapon of war, impediment to peace. 27. 5 indexed citations
12.
Morris, Tim P.. (2006). UNHCR, IDPs and clusters. SHILAP Revista de lepidopterología. 4 indexed citations
13.
Morris, Tim P., et al.. (2006). People trafficking: upholding rights and understanding vulnerabilities. 25. 1 indexed citations
14.
Morris, Tim P., et al.. (2005). Tsunami: learning from the humanitarian response (special issue). 11 indexed citations
15.
Morris, Tim P., et al.. (2005). Protecting and assisting the internally displaced: the way forward (supplement).
16.
Morris, Tim P., et al.. (2003). African displacement: roots, resources and resolution. 16.
17.
Morris, Tim P., et al.. (2003). Delivering the goods: rethinking humanitarian logistics. 18. 1 indexed citations
18.
Morris, Tim P., et al.. (2003). When does internal displacement end. 17. 56. 4 indexed citations
19.
Morris, Tim P., et al.. (2002). Dilemmas of development induced displacement. 12. 1 indexed citations
20.
Morris, Tim P., et al.. (2000). Gender and displacement. 9. 3 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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