Susan Todd

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

Impact in

Papers in

Susan Todd

87 papers receiving 1.9k citations

Peers

Susan Todd
Comparison fields: 5 of 148
  • Statistics and Probability 1.0k
  • Management Science and Operations Research 557
  • Statistics, Probability and Uncertainty 222
  • Nutrition and Dietetics 246
  • Economics and Econometrics 392
Replace Lilly Q. Yue with:
Lilly Q. Yue United States
Alex Dmitrienko United States
Andrew P. Grieve United Kingdom
Christy Chuang‐Stein United States
Vance W. Berger United States
Hsiao‐Hui Tsou Taiwan
Stephen J. Ruberg United States
Sharon Anderson United States
Veeresh Gadag Canada
Robert Temple United States
Susan Todd relative to Lilly Q. Yue United States Lilly Q. Yue's profile →
Citations per field
00.5×9.9×
Lilly Q. Yue · 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-authorship network

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
#Work
1 20251
2 20224
3 20217
4 202033
5 201918
6 201825
7 201834
8 201730
9 201719
10 2015140
11 201429
12 201450
13 201330
14 201183
15
Estimation following selection of the largest of two normal means. Journal of Statistical Planning and Inference 138, 1629-1638.
20081
16
Collaborative evaluation of a haptic-based medical virtual environment.
20076
17 200339
18 200134
19 19976
20 199512

About Susan Todd

Susan Todd is a scholar working on Statistics and Probability, Management Science and Operations Research, Statistics, Probability and Uncertainty, Economics and Econometrics and Pharmacology, having authored 90 papers that have together received 2.0k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (64 papers), Optimal Experimental Design Methods (33 papers), Health Systems, Economic Evaluations, Quality of Life (23 papers), Meta-analysis and systematic reviews (15 papers), Advanced Causal Inference Techniques (14 papers), Statistical Methods and Bayesian Inference (8 papers), Statistical Methods and Inference (8 papers) and Fatty Acid Research and Health (7 papers). The work is most often cited by research in Statistics and Probability (1.0k citations), Management Science and Operations Research (557 citations), Statistics, Probability and Uncertainty (222 citations), Nutrition and Dietetics (246 citations) and Economics and Econometrics (392 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, Pharmaceutical Statistics, Trials, American Journal of Clinical Nutrition and Journal of Biopharmaceutical Statistics.

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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