Andrew Titman

1.2k total citations
42 papers, 639 citations indexed

About

Andrew Titman is a scholar working on Statistics and Probability, Economics and Econometrics and Management Science and Operations Research. According to data from OpenAlex, Andrew Titman has authored 42 papers receiving a total of 639 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Statistics and Probability, 8 papers in Economics and Econometrics and 6 papers in Management Science and Operations Research. Recurrent topics in Andrew Titman's work include Statistical Methods and Bayesian Inference (14 papers), Statistical Methods and Inference (13 papers) and Statistical Methods in Clinical Trials (7 papers). Andrew Titman is often cited by papers focused on Statistical Methods and Bayesian Inference (14 papers), Statistical Methods and Inference (13 papers) and Statistical Methods in Clinical Trials (7 papers). Andrew Titman collaborates with scholars based in United Kingdom, United States and Switzerland. Andrew Titman's co-authors include Linda Sharples, Gillian Lancaster, Chris Rogers, Nicholas R. Banner, Robert S. Bonser, C. Deasy, John Quinton, Thomas Jaki, Ian D. Norton and Rupert W. Leong and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Biometrics.

In The Last Decade

Andrew Titman

38 papers receiving 621 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Andrew Titman United Kingdom	14	182	104	94	70	67	42	639
Luís Meira‐Machado Portugal	13	331 1.8×	95 0.9×	88 0.9×	32 0.5×	80 1.2×	53	904
Angelika Geroldinger Austria	15	72 0.4×	119 1.1×	132 1.4×	81 1.2×	29 0.4×	33	848
Pete Philipson United Kingdom	13	216 1.2×	54 0.5×	97 1.0×	25 0.4×	73 1.1×	26	684
B. De Cock Belgium	10	65 0.4×	143 1.4×	163 1.7×	30 0.4×	120 1.8×	17	992
Teresa Smith United States	9	216 1.2×	62 0.6×	86 0.9×	48 0.7×	39 0.6×	16	735
Jing Huang United States	16	52 0.3×	109 1.0×	153 1.6×	64 0.9×	42 0.6×	87	818
Ikhlaaq Ahmed United Kingdom	13	78 0.4×	102 1.0×	112 1.2×	143 2.0×	66 1.0×	21	991
Mark E. Boye United States	18	156 0.9×	169 1.6×	88 0.9×	15 0.2×	42 0.6×	40	851
James M. Robins United Kingdom	9	681 3.7×	64 0.6×	102 1.1×	52 0.7×	80 1.2×	19	1.3k
Lin‐Yee Hin China	14	122 0.7×	100 1.0×	192 2.0×	33 0.5×	28 0.4×	29	788

Countries citing papers authored by Andrew Titman

Since Specialization

Citations

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

Fields of papers citing papers by Andrew Titman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Titman

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Titman. A scholar is included among the top collaborators of Andrew Titman 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 Andrew Titman. Andrew Titman 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

Jaki, Thomas, et al.. (2024). A seamless Phase I/II platform design with a time-to-event efficacy endpoint for potential COVID-19 therapies. Statistical Methods in Medical Research. 33(11-12). 2115–2130.

Nelson, Barry L., et al.. (2023). A spline function method for modelling and generating a nonhomogeneous poisson process. Journal of Simulation. 18(4). 557–568.

Mateus, Céu, et al.. (2023). A Systematic Review of Methodologies Used in Models of the Treatment of Diabetes Mellitus. PharmacoEconomics. 42(1). 19–40. 2 indexed citations

Titman, Andrew, et al.. (2022). Input Uncertainty Quantification for Quantiles. 2022 Winter Simulation Conference (WSC). 162. 97–108.

Jaki, Thomas, A. Gordon, Luc Bijnens, et al.. (2018). A proposal for a new PhD level curriculum on quantitative methods for drug development. Pharmaceutical Statistics. 17(5). 593–606. 4 indexed citations

Lancaster, Gillian, Gareth McCray, Patricia Kariger, et al.. (2018). Creation of the WHO Indicators of Infant and Young Child Development (IYCD): metadata synthesis across 10 countries. BMJ Global Health. 3(5). e000747–e000747. 39 indexed citations

McCray, Gareth, Andrew Titman, Paula Ghaneh, & Gillian Lancaster. (2017). Sample size re-estimation in paired comparative diagnostic accuracy studies with a binary response. BMC Medical Research Methodology. 17(1). 102–102. 8 indexed citations

Irving, William L., Daniel Rupp, C. Patrick McClure, et al.. (2014). Development of a high-throughput pyrosequencing assay for monitoring temporal evolution and resistance associated variant emergence in the Hepatitis C virus protease coding-region. Antiviral Research. 110. 52–59. 9 indexed citations

Selinger, Christian P., Jane M. Andrews, Andrew Titman, et al.. (2013). Long-term Follow-up Reveals Low Incidence of Colorectal Cancer, but Frequent Need for Resection, Among Australian Patients With Inflammatory Bowel Disease. Clinical Gastroenterology and Hepatology. 12(4). 644–650. 74 indexed citations

10.

Titman, Andrew. (2013). A pool-adjacent-violators type algorithm for non-parametric estimation of current status data with dependent censoring. Lifetime Data Analysis. 20(3). 444–458. 7 indexed citations

11.

Shaw, N J, et al.. (2013). Two-year outcomes for infants with low cord pH at birth. The Journal of Maternal-Fetal & Neonatal Medicine. 27(10). 1010–1014. 4 indexed citations

12.

Titman, Andrew, Gillian Lancaster, & Allan Colver. (2013). Item response theory and structural equation modelling for ordinal data: Describing the relationship between KIDSCREEN and Life-H. Statistical Methods in Medical Research. 25(5). 1892–1924. 5 indexed citations

13.

Cooper, Helen, et al.. (2013). Development and psychometric testing of the online Adolescent Diabetes Needs Assessment Tool (ADNAT). Journal of Advanced Nursing. 70(2). 454–468. 9 indexed citations

14.

Blair, Joanne, Gillian Lancaster, Andrew Titman, et al.. (2013). Early morning salivary cortisol and cortisone, and adrenal responses to a simplified low‐dose short Synacthen test in children with asthma. Clinical Endocrinology. 80(3). 376–383. 35 indexed citations

15.

Titman, Andrew. (2011). Flexible Nonhomogeneous Markov Models for Panel Observed Data. Biometrics. 67(3). 780–787. 22 indexed citations

16.

Titman, Andrew, et al.. (2010). Accounting for bias due to a non‐ignorable tracing mechanism in a retrospective breast cancer cohort study. Statistics in Medicine. 30(4). 324–334. 2 indexed citations

17.

Titman, Andrew, Chris Rogers, Robert S. Bonser, Nicholas R. Banner, & Linda Sharples. (2009). Disease-Specific Survival Benefit of Lung Transplantation in Adults: A National Cohort Study. American Journal of Transplantation. 9(7). 1640–1649. 68 indexed citations

18.

Titman, Andrew. (2009). Computation of the asymptotic null distribution of goodness-of-fit tests for multi-state models. Lifetime Data Analysis. 15(4). 519–533. 10 indexed citations

19.

Titman, Andrew & Linda Sharples. (2009). Semi‐Markov Models with Phase‐Type Sojourn Distributions. Biometrics. 66(3). 742–752. 43 indexed citations

20.

Titman, Andrew & Linda Sharples. (2007). A general goodness‐of‐fit test for Markov and hidden Markov models. Statistics in Medicine. 27(12). 2177–2195. 37 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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