C. Thomas Lin

663 citations
14 papers · 514 · h-index 11

Impact in

Papers in

C. Thomas Lin

14 papers receiving 467 citations

Peers

C. Thomas Lin
Comparison fields: 5 of 130
  • Statistics and Probability 253
  • Statistics, Probability and Uncertainty 94
  • Finance 51
  • Management Science and Operations Research 49
  • General Economics, Econometrics and Finance 16
Replace J. Oosterhoff with:
J. Oosterhoff Netherlands
Henrick John Malik Canada
Alvin Baranchik United States
Holger Müller Germany
Gerald L. Sievers United States
Olaf Bunke Germany
Volker Mammitzsch Germany
Michael E. Welch United States
Ivan Mizera Canada
H. W. Peers United Kingdom
C. Thomas Lin relative to J. Oosterhoff Netherlands J. Oosterhoff's profile →
Citations per field
00.5×2×3×4×4.7×
J. Oosterhoff · 1×
Citations per year

Countries citing papers authored by C. Thomas Lin

Since Specialization
Citations

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

Fields of papers citing papers by C. Thomas Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. Thomas Lin. 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 C. Thomas Lin. The network helps show where C. Thomas Lin may publish in the future.

Co-authors

The 17 scholars most cited alongside C. Thomas Lin, 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 C. Thomas Lin Line = papers co-authored together C. Thomas Lin links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 1988159
2 1980103
3 198887
4 199545
5 199121
6 200220
7 197617
8 199014
9 198913
10 198212
11 198011
12 19766
13 20103
14 19823

About C. Thomas Lin

C. Thomas Lin is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Numerical Analysis, Applied Mathematics and Management Science and Operations Research, having authored 14 papers that have together received 514 indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (7 papers), Advanced Statistical Methods and Models (6 papers), Statistical Methods and Inference (3 papers), Advanced Statistical Process Monitoring (2 papers), Mathematical functions and polynomials (2 papers), Computational Drug Discovery Methods (2 papers), Mathematical Approximation and Integration (2 papers) and Statistical Methods in Clinical Trials (1 paper). The work is most often cited by research in Statistics and Probability (253 citations), Statistics, Probability and Uncertainty (94 citations), Finance (51 citations), Management Science and Operations Research (49 citations) and General Economics, Econometrics and Finance (16 citations). C. Thomas Lin has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Govind S. Mudholkar, Georgia D. Kollia, Marshall L. Freimer, Eugene N. Bush, Arthur A. Hancock, Deo Kumar Srivastava, Yogendra P. Chaubey, Celerino Abad‐Zapatero, Hing Leung Sham and Kennan C. Marsh. Their work appears in journals such as Technometrics, Biometrika, Clinical and Experimental Pharmacology and Physiology, Journal of the Royal Statistical Society Series B (Statistical Methodology) and Biopolymers.

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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