Susan Todd

3.2k citations
90 papers · 2.0k · h-index 29

Impact in

Papers in

Susan Todd

87 papers receiving 1.9k citations

Peers

Susan Todd
Comparison fields: 5 of 141
  • Statistics and Probability 961
  • Management Science and Operations Research 519
  • Statistics, Probability and Uncertainty 149
  • Nutrition and Dietetics 206
  • Economics and Econometrics 316
Replace Joseph F. Heyse with:
Joseph F. Heyse United States
Alex Dmitrienko United States
Dipankar Bandyopadhyay United States
Sharon Anderson United States
Byron Wm. Brown United States
Hsiao‐Hui Tsou Taiwan
Andrew P. Grieve United Kingdom
Vance W. Berger United States
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Susan Todd relative to Joseph F. Heyse United States Joseph F. Heyse's profile →
Citations per field
00.5×6.3×
Joseph F. Heyse · 1×
Citations per year

Countries citing papers authored by Susan Todd

Since Specialization
Citations

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

Fields of papers citing papers by Susan Todd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Susan Todd, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Susan Todd Line = papers co-authored together Susan Todd links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015142
2 2003135
3 201183
4 200567
5 202064
6 198659
7 200554
8 200552
9 201450
10 201049
11 201042
12 200441
13 199641
14 200339
15 202038
16 200638
17 201636
18 202035
19 201835
20 200735

About Susan Todd

Susan Todd is a scholar working on Statistics and Probability, Management Science and Operations Research, Economics and Econometrics, Statistics, Probability and Uncertainty and Molecular Biology, having authored 90 papers that have together received 2.0k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (61 papers), Optimal Experimental Design Methods (29 papers), Health Systems, Economic Evaluations, Quality of Life (17 papers), Advanced Causal Inference Techniques (13 papers), Meta-analysis and systematic reviews (10 papers), Statistical Methods and Bayesian Inference (8 papers), Statistical Methods and Inference (8 papers) and Fatty Acid Research and Health (6 papers). The work is most often cited by research in Statistics and Probability (961 citations), Management Science and Operations Research (519 citations), Statistics, Probability and Uncertainty (149 citations), Nutrition and Dietetics (206 citations) and Economics and Econometrics (316 citations). Susan Todd has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Nigel Stallard, John Whitehead, Julie A. Lovegrove, Parveen Yaqoob, Kim G. Jackson, Katerina Vafeiadou, Michelle Weech, Anne Whitehead, Steven A. Julious and Patrick J. Kelly. Their work appears in journals such as Statistics in Medicine, Trials, Pharmaceutical Statistics, Journal of Biopharmaceutical Statistics and Statistical Methods in Medical Research.

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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