T. M. F. Smith

6.5k citations
96 papers · 3.6k indexed · 1 hit paper · h-index 25
Topics
Statistical Methods and Bayesian Inference (22 papers)Survey Sampling and Estimation Techniques (17 papers)Advanced Statistical Methods and Models (10 papers)

In The Last Decade

T. M. F. Smith

88 papers receiving 3.1k citations

Hit Papers

Analysis of Complex Surveys.19912026200220141991200400600

Peers

T. M. F. Smith
Comparison fields: 5 of 195
  • Statistics and Probability 917
  • Molecular Biology 709
  • Public Health, Environmental and Occupational Health 624
  • Infectious Diseases 457
  • Sociology and Political Science 373
Replace P. Andersen with:
P. Andersen Denmark
Martin T. Wells United States
Håkon K. Gjessing Norway
Lue Ping Zhao United States
Peter Sasieni United Kingdom
Bernard Greenberg United States
A. J. Scott New Zealand
James Wagner United States
Ben Jann Switzerland
Jon Wakefield United States
T. M. F. Smith relative to P. Andersen Denmark P. Andersen's profile →
Citations per field
00.5×3.6×
P. Andersen · 1×
Citations per year

Countries citing papers authored by T. M. F. Smith

Since Specialization
Citations

This map shows the geographic impact of T. M. F. 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 T. M. F. Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. M. F. Smith more than expected).

Fields of papers citing papers by T. M. F. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. M. F. 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 T. M. F. Smith. The network helps show where T. M. F. Smith may publish in the future.

Co-authorship network of co-authors of T. M. F. Smith

This figure shows the co-authorship network connecting the top 25 collaborators of T. M. F. Smith. A scholar is included among the top collaborators of T. M. F. 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 T. M. F. Smith. T. M. F. Smith 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
#WorkIndexed citations
1 1
2 21
3 11
4 55
5 15
6 18
7 49
8
A constrained MINQU estimator of correlated response variance from unbalanced data in complex surveys.
1
9 80
10 39
11 14
12 9
13 38
14 221
15 40
16 13
17
Wrongful Discharge Reexamined: The Crisis Matures, Ohio Responds
1
18 11
19 7
20 91

About T. M. F. Smith

T. M. F. Smith is a scholar working on Statistics and Probability, Management Science and Operations Research and Statistics, Probability and Uncertainty, having authored 96 papers that have together received 3.6k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (22 papers), Survey Sampling and Estimation Techniques (17 papers) and Advanced Statistical Methods and Models (10 papers). The work is most often cited by research in Statistics and Probability (917 citations), Infectious Diseases (457 citations) and Public Health, Environmental and Occupational Health (624 citations). T. M. F. Smith has collaborated with scholars based in United Kingdom, United States and New Zealand. Frequent co-authors include Chris Skinner, D Holt, Daniel T. Holt, R. A. Sugden, Alastair Scott, Leroy Hood, David Campbell, James C. Smoot, Stephen F. Porcella and Stephen B. Beres. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids 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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