C. Thomas Lin
Impact in
- Statistics and Probability top 2%
- Statistical Distribution Estimation and Applications
- Advanced Statistical Methods and Models
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
-
- Probabilistic and Robust Engineering Design
Papers in
-
- Statistical Distribution Estimation and Applications 7
- Advanced Statistical Methods and Models 6
- Statistical Methods and Inference 3
-
- Advanced Statistical Process Monitoring 2
- Co-authors
- Govind S. Mudholkar (11 shared papers)Georgia Kollia (3 shared papers)Marshall Freimer (2 shared papers)Eugene N. Bush (1 shared paper)Arthur A. Hancock (1 shared paper)Deo Kumar Srivastava (1 shared paper)Yogendra P. Chaubey (2 shared papers)Celerino Abad‐Zapatero (1 shared paper)
- Journals
- Technometrics (5 papers)Trends in Pharmacological Sciences (1 paper)Clinical and Experimental Pharmacology and Physiology (1 paper)Biometrika (1 paper)Biopolymers (1 paper)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
C. Thomas Lin
14 papers receiving 449 citations
Peers
Comparison fields: 5 of 128
- Statistics and Probability 232
- Statistics, Probability and Uncertainty 84
- Finance 54
- Management Science and Operations Research 43
- Artificial Intelligence 65
Countries citing papers authored by C. Thomas Lin
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1988 | 151 | |
| 2 | 1980 | 96 | |
| 3 | 1988 | 86 | |
| 4 | 1995 | 42 | |
| 5 | 1991 | 22 | |
| 6 | 2002 | 17 | |
| 7 | 1976 | 16 | |
| 8 | 1990 | 13 | |
| 9 | 1982 | 10 | |
| 10 | 1989 | 10 | |
| 11 | 1980 | 10 | |
| 12 | 1976 | 5 | |
| 13 | 2010 | 3 | |
| 14 | 1982 | 3 |
About C. Thomas Lin
C. Thomas Lin is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Molecular Biology, Numerical Analysis and Computational Theory and Mathematics, having authored 14 papers that have together received 484 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), Mathematical functions and polynomials (2 papers), Mathematical Approximation and Integration (2 papers), Computational Drug Discovery Methods (2 papers), Advanced Statistical Process Monitoring (2 papers) and Angiogenesis and VEGF in Cancer (1 paper). The work is most often cited by research in Statistics and Probability (232 citations), Statistics, Probability and Uncertainty (84 citations), Finance (54 citations), Management Science and Operations Research (43 citations) and Artificial Intelligence (65 citations). C. Thomas Lin has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Govind S. Mudholkar, Georgia Kollia, Marshall Freimer, Eugene N. Bush, Arthur A. Hancock, Deo Kumar Srivastava, Yogendra P. Chaubey, Celerino Abad‐Zapatero, Jason A. Segreti and Bryan F. Cox. Their work appears in journals such as Technometrics, Trends in Pharmacological Sciences, Clinical and Experimental Pharmacology and Physiology, Biometrika 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.