Thaddeus Tarpey
- Statistics and Probability top 1%
- Artificial Intelligence top 5%
- Cognitive Neuroscience top 10%
- Computer Vision and Pattern Recognition top 10%
- Experimental and Cognitive Psychology top 10%
- Co-authors
- Bernard D. FluryEva PetkovaR. Todd OgdenAdam CiarleglioRichard D. SandersPhilip T. ReissLei HuangMatcheri S. Keshavan
- Topics
- Statistical Methods and Inference (21 papers)Advanced Statistical Methods and Models (18 papers)Bayesian Methods and Mixture Models (15 papers)
- Partner nations
- United StatesCanadaJapan
In The Last Decade
Thaddeus Tarpey
74 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 155
- Statistics and Probability 384
- Artificial Intelligence 338
- Cognitive Neuroscience 109
- Computer Vision and Pattern Recognition 89
- Experimental and Cognitive Psychology 79
Countries citing papers authored by Thaddeus Tarpey
This map shows the geographic impact of Thaddeus Tarpey'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 Thaddeus Tarpey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thaddeus Tarpey more than expected).
Fields of papers citing papers by Thaddeus Tarpey
This network shows the impact of papers produced by Thaddeus Tarpey. 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 Thaddeus Tarpey. The network helps show where Thaddeus Tarpey may publish in the future.
Co-authorship network of co-authors of Thaddeus Tarpey
This figure shows the co-authorship network connecting the top 25 collaborators of Thaddeus Tarpey. A scholar is included among the top collaborators of Thaddeus Tarpey 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 Thaddeus Tarpey. Thaddeus Tarpey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 8 | |
| 6 | 4 | |
| 7 | 9 | |
| 8 | 7 | |
| 9 | 21 | |
| 10 | 3 | |
| 11 | 5 | |
| 12 | 9 | |
| 13 | On the Meaning of Parameters in Approximation Models | 2 |
| 14 | 10 | |
| 15 | 7 | |
| 16 | 3 | |
| 17 | 11 | |
| 18 | 2 | |
| 19 | 20 | |
| 20 | 18 |
About Thaddeus Tarpey
Thaddeus Tarpey is a scholar working on Statistics and Probability, Computational Mathematics and Experimental and Cognitive Psychology, having authored 78 papers that have together received 1.1k indexed citations. Recurring topics across this work include Statistical Methods and Inference (21 papers), Advanced Statistical Methods and Models (18 papers) and Bayesian Methods and Mixture Models (15 papers). The work is most often cited by research in Statistics and Probability (384 citations), Computational Mathematics (7 citations) and Artificial Intelligence (338 citations). Thaddeus Tarpey has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Bernard D. Flury, Eva Petkova, R. Todd Ogden, Adam Ciarleglio, Richard D. Sanders, Philip T. Reiss, Lei Huang, Matcheri S. Keshavan, Gérald Goldstein and Steven D. Forman. Their work appears in journals such as Journal of the American Statistical Association, Biometrics and Statistics in Medicine.
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.