T.J. Terpstra

543 total citations
9 papers, 386 citations indexed

About

T.J. Terpstra is a scholar working on Statistics and Probability, Finance and Artificial Intelligence. According to data from OpenAlex, T.J. Terpstra has authored 9 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Statistics and Probability, 1 paper in Finance and 1 paper in Artificial Intelligence. Recurrent topics in T.J. Terpstra's work include Advanced Statistical Methods and Models (6 papers), Statistical Methods and Inference (3 papers) and Statistical Distribution Estimation and Applications (2 papers). T.J. Terpstra is often cited by papers focused on Advanced Statistical Methods and Models (6 papers), Statistical Methods and Inference (3 papers) and Statistical Distribution Estimation and Applications (2 papers). T.J. Terpstra collaborates with scholars based in Netherlands. T.J. Terpstra's co-authors include and has published in prestigious journals such as Metrika, Data Archiving and Networked Services (DANS) and Applied Scientific Research.

In The Last Decade

T.J. Terpstra

6 papers receiving 354 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
T.J. Terpstra Netherlands 4 143 54 29 27 25 9 386
David V. Huntsberger United States 8 53 0.4× 16 0.3× 12 0.4× 12 0.4× 51 2.0× 15 389
B. Raja Rao United States 10 193 1.3× 48 0.9× 50 1.7× 37 1.4× 8 0.3× 54 374
T. W. F. Stroud Canada 10 203 1.4× 86 1.6× 58 2.0× 91 3.4× 6 0.2× 46 461
Pralay Senchaudhuri United States 16 281 2.0× 86 1.6× 63 2.2× 22 0.8× 22 0.9× 26 547
J. E. Kerrich South Africa 7 79 0.6× 27 0.5× 39 1.3× 31 1.1× 11 0.4× 16 330
Guido del Pino Chile 10 111 0.8× 72 1.3× 28 1.0× 12 0.4× 11 0.4× 16 370
R. Wette United States 14 53 0.4× 17 0.3× 28 1.0× 9 0.3× 43 1.7× 27 473
Siegfried Schach Germany 8 57 0.4× 46 0.9× 28 1.0× 11 0.4× 16 0.6× 26 276
Maurice Whittinghill United States 7 61 0.4× 10 0.2× 29 1.0× 19 0.7× 55 2.2× 15 305
L. H. C. Tippett United States 8 16 0.1× 15 0.3× 13 0.4× 29 1.1× 41 1.6× 31 351

Countries citing papers authored by T.J. Terpstra

Since Specialization
Citations

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

Fields of papers citing papers by T.J. Terpstra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T.J. Terpstra. 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.J. Terpstra. The network helps show where T.J. Terpstra may publish in the future.

No nodes

All Works

9 of 9 papers shown
1.
2.
Terpstra, T.J.. (1985). One-sided and multi-sided rank tests against trend in the case of concordant observers. Metrika. 32(1). 109–123. 1 indexed citations
3.
Terpstra, T.J.. (1980). Efficiency and optimality properties of a class ofk-sample rank tests against trend. Metrika. 27(1). 225–235. 3 indexed citations
4.
Terpstra, T.J.. (1962). Interpretations and generalizations of Kendall's rank correlation test. Data Archiving and Networked Services (DANS).
5.
Terpstra, T.J.. (1955). A generalization of kendall’s rank correlation statistic. I. Indagationes Mathematicae (Proceedings). 58. 690–696. 10 indexed citations
6.
Terpstra, T.J.. (1954). A Non-Parametric Test for the Problem of k Samples. Indagationes Mathematicae (Proceedings). 57. 505–512. 11 indexed citations
7.
Terpstra, T.J.. (1953). The Exact Probability Distribution of the T Statistic for Testing Against trend and its Normal Approximation. Indagationes Mathematicae (Proceedings). 56. 433–437. 11 indexed citations
8.
Terpstra, T.J.. (1952). The asymptotic normality and consistency of kendall’s test against trend, when ties are present in one ranking. Indagationes Mathematicae (Proceedings). 55. 327–333. 349 indexed citations
9.

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by David V. Huntsberger Breakdown of academic impact, for papers by B. Raja Rao Breakdown of academic impact, for papers by T. W. F. Stroud Breakdown of academic impact, for papers by Pralay Senchaudhuri Breakdown of academic impact, for papers by J. E. Kerrich Breakdown of academic impact, for papers by Guido del Pino Breakdown of academic impact, for papers by R. Wette Breakdown of academic impact, for papers by Siegfried Schach Breakdown of academic impact, for papers by Maurice Whittinghill Breakdown of academic impact, for papers by L. H. C. Tippett
Rankless by CCL
2026