Michael G. Akritas

4.3k total citations · 1 hit paper
105 papers, 2.9k citations indexed

About

Michael G. Akritas is a scholar working on Statistics and Probability, Management Science and Operations Research and Artificial Intelligence. According to data from OpenAlex, Michael G. Akritas has authored 105 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Statistics and Probability, 27 papers in Management Science and Operations Research and 11 papers in Artificial Intelligence. Recurrent topics in Michael G. Akritas's work include Statistical Methods and Inference (59 papers), Advanced Statistical Methods and Models (54 papers) and Statistical Methods and Bayesian Inference (31 papers). Michael G. Akritas is often cited by papers focused on Statistical Methods and Inference (59 papers), Advanced Statistical Methods and Models (54 papers) and Statistical Methods and Bayesian Inference (31 papers). Michael G. Akritas collaborates with scholars based in United States, Germany and Greece. Michael G. Akritas's co-authors include Steven F. Arnold, G. Jogesh Babu, Eric D. Feigelson, Ingrid Van Keilegom, Edgar Brunner, Michael P. LaValley, J. Siebert, Susan A. Murphy, Nickos Papadatos and Lan Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and The Astrophysical Journal.

In The Last Decade

Michael G. Akritas

101 papers receiving 2.7k citations

Hit Papers

Linear regression in astr... 1990 2026 2002 2014 1990 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Linear regression in astronomy.
    1990 660 citations Eric D. Feigelson, Michael G. Akritas et al. The Astrophysical Journal profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael G. Akritas United States 24 1.5k 623 515 264 151 105 2.9k
Michael Goldstein United Kingdom 26 423 0.3× 173 0.3× 417 0.8× 640 2.4× 44 0.3× 123 2.6k
Elizabeth L. Scott United States 15 367 0.2× 163 0.3× 148 0.3× 445 1.7× 34 0.2× 56 2.3k
Robert L. Wolpert United States 25 635 0.4× 61 0.1× 154 0.3× 461 1.7× 219 1.5× 76 2.3k
Nariaki Sugiura Japan 13 661 0.4× 104 0.2× 118 0.2× 272 1.0× 44 0.3× 45 2.1k
Renate Meyer New Zealand 29 304 0.2× 796 1.3× 63 0.1× 332 1.3× 155 1.0× 90 2.5k
Dani Gamerman Brazil 23 1.3k 0.8× 61 0.1× 392 0.8× 851 3.2× 39 0.3× 71 3.8k
Tom Leonard United Kingdom 23 1.1k 0.7× 38 0.1× 332 0.6× 626 2.4× 17 0.1× 73 2.9k
Lawrence Gray United States 12 212 0.1× 77 0.1× 71 0.1× 164 0.6× 34 0.2× 20 1.4k
Thomas Sellke United States 12 961 0.6× 36 0.1× 291 0.6× 400 1.5× 21 0.1× 27 2.1k
Stéphane Girard France 34 765 0.5× 18 0.0× 294 0.6× 468 1.8× 30 0.2× 278 4.2k

Countries citing papers authored by Michael G. Akritas

Since Specialization
Citations

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

Fields of papers citing papers by Michael G. Akritas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael G. Akritas. 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 Michael G. Akritas. The network helps show where Michael G. Akritas may publish in the future.

Co-authorship network of co-authors of Michael G. Akritas

This figure shows the co-authorship network connecting the top 25 collaborators of Michael G. Akritas. A scholar is included among the top collaborators of Michael G. Akritas 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 Michael G. Akritas. Michael G. Akritas 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
1.
Akritas, Michael G., et al.. (2016). Single index quantile regression for heteroscedastic data. Journal of Multivariate Analysis. 150. 169–182. 14 indexed citations
2.
Akritas, Michael G.. (2016). Probability & Statistics with R for Engineers and Scientists. 12 indexed citations
3.
Wang, Haiyan & Michael G. Akritas. (2010). Inference from heteroscedastic functional data. Journal of nonparametric statistics. 22(2). 149–168. 9 indexed citations
4.
Wang, Lan & Michael G. Akritas. (2006). TWO-WAY HETEROSCEDASTIC ANOVA WHEN THE NUMBER OF LEVELS IS LARGE. 16(4). 1387–1408. 15 indexed citations
5.
Akritas, Michael G. & Michael P. LaValley. (2005). A generalized product-limit estimator for truncated data. Journal of nonparametric statistics. 17(6). 643–663. 11 indexed citations
6.
Akritas, Michael G.. (2005). REVERSE WINDOWS IN NONPARAMETRIC REGRESSION. 1 indexed citations
7.
Wang, Haiyan & Michael G. Akritas. (2004). Rank tests for anova with large number of factor levels. Journal of nonparametric statistics. 16(3-4). 563–589. 11 indexed citations
8.
Akritas, Michael G., et al.. (2003). Rank tests for patterned alternatives in two-way non-parametric analysis of variance. Journal of Statistical Planning and Inference. 126(1). 1–23. 5 indexed citations
9.
Akritas, Michael G. & Ingrid Van Keilegom. (2001). ANCOVA Methods for Heteroscedastic Nonparametric Regression Models. Journal of the American Statistical Association. 96(453). 220–232. 11 indexed citations
10.
Akritas, Michael G. & Ingrid Van Keilegom. (2000). Estimation of the bivariate and marginal distributions with censored data. DIAL (Catholic University of Leuven). 200009. 2 indexed citations
11.
Akritas, Michael G., Steven F. Arnold, & Edgar Brunner. (1997). Nonparametric Hypotheses and Rank Statistics for Unbalanced Factorial Designs. Journal of the American Statistical Association. 92(437). 258–265. 154 indexed citations
12.
Akritas, Michael G. & Michael P. LaValley. (1997). 20 Statistical analysis with incomplete data: A selective review. 551–632. 8 indexed citations
13.
Akritas, Michael G. & A. Torbeyns. (1997). Pearson‐type goodness‐of‐fit tests for regression. Canadian Journal of Statistics. 25(3). 359–374. 8 indexed citations
14.
Akritas, Michael G.. (1991). Limitations of the Rank Transform Procedure: A Study of Repeated Measures Designs, Part I. Journal of the American Statistical Association. 86(414). 457–460. 56 indexed citations
15.
Akritas, Michael G.. (1991). Robust M Estimation in the Two-Sample Problem. Journal of the American Statistical Association. 86(413). 201–204. 3 indexed citations
16.
Akritas, Michael G.. (1990). The Rank Transform Method in Some Two-Factor Designs. Journal of the American Statistical Association. 85(409). 73–78. 143 indexed citations
17.
Feigelson, Eric D., et al.. (1990). Linear regression in astronomy.. The Astrophysical Journal. 364. 104–104. 660 indexed citations breakdown →
18.
Akritas, Michael G.. (1988). Pearson-Type Goodness-of-Fit Tests: The Univariate Case. Journal of the American Statistical Association. 83(401). 222–230. 47 indexed citations
19.
Akritas, Michael G. & Richard A. Johnson. (1982). The contiguity of probability measures and asymptotic inference in continuous time stationary diffusions and Gaussian processes with known covariance. Journal of Multivariate Analysis. 12(1). 123–135. 3 indexed citations
20.
Akritas, Michael G.. (1982). Asymptotic theory for estimating the parameters of a Lévy process. Annals of the Institute of Statistical Mathematics. 34(2). 259–280. 9 indexed citations

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 Michael Goldstein Breakdown of academic impact, for papers by Elizabeth L. Scott Breakdown of academic impact, for papers by Robert L. Wolpert Breakdown of academic impact, for papers by Nariaki Sugiura Breakdown of academic impact, for papers by Renate Meyer Breakdown of academic impact, for papers by Dani Gamerman Breakdown of academic impact, for papers by Tom Leonard Breakdown of academic impact, for papers by Lawrence Gray Breakdown of academic impact, for papers by Thomas Sellke Breakdown of academic impact, for papers by Stéphane Girard
Rankless by CCL
2026