MTW

12.6k total citations · 2 hit papers
38 papers, 9.1k citations indexed

About

MTW is a scholar working on Signal Processing, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, MTW has authored 38 papers receiving a total of 9.1k indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Signal Processing, 2 papers in Artificial Intelligence and 2 papers in Computational Theory and Mathematics. Recurrent topics in MTW's work include Data Management and Algorithms (2 papers), Statistical Methods and Bayesian Inference (1 paper) and Petri Nets in System Modeling (1 paper). MTW is often cited by papers focused on Data Management and Algorithms (2 papers), Statistical Methods and Bayesian Inference (1 paper) and Petri Nets in System Modeling (1 paper). MTW collaborates with scholars based in United States, Canada and Austria. MTW's co-authors include Hiroshi Kunita, Martin A. Tanner, Hiroshi Motoda, Huan Liu, Denis Mollison, Eric W. Weisstein, David Saad, Susan S. Devesa, А. А. Боровков and Richard Bellman and has published in prestigious journals such as Journal of the American Statistical Association.

In The Last Decade

MTW

37 papers receiving 8.1k citations

Hit Papers

Regression Models for Categorical and Limited Dependent V... 1997 2026 2006 2016 1997 1998 1000 2.0k 3.0k 4.0k 5.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
MTW United States 25 2.1k 1.4k 958 874 841 38 9.1k
Stefano M. Iacus Italy 24 1.6k 0.8× 2.0k 1.5× 598 0.6× 568 0.6× 479 0.6× 105 7.1k
Edward R. Tufte United States 32 3.0k 1.4× 2.2k 1.6× 2.7k 2.8× 539 0.6× 1.5k 1.7× 80 16.3k
Mark S. Handcock United States 44 2.8k 1.3× 1.2k 0.9× 590 0.6× 1.0k 1.2× 1.4k 1.7× 140 11.6k
Jan de Leeuw Netherlands 44 2.0k 1.0× 995 0.7× 425 0.4× 1.8k 2.1× 1.1k 1.4× 207 13.4k
Daniel E. Ho United States 23 1.2k 0.5× 1.4k 1.1× 775 0.8× 755 0.9× 646 0.8× 108 8.1k
Jennifer Hill United States 38 2.6k 1.2× 1.5k 1.1× 1.1k 1.2× 2.2k 2.5× 1.1k 1.3× 146 16.7k
Richard A. Berk United States 49 5.2k 2.4× 1.2k 0.9× 814 0.8× 997 1.1× 841 1.0× 223 9.9k
Jan Kmenta United States 23 1.3k 0.6× 3.9k 2.8× 551 0.6× 843 1.0× 265 0.3× 56 10.4k
Robyn M. Dawes United States 54 5.5k 2.6× 2.5k 1.8× 406 0.4× 495 0.6× 1.3k 1.5× 137 17.4k
Chris Beaumont United Kingdom 23 862 0.4× 1.4k 1.0× 209 0.2× 893 1.0× 444 0.5× 103 8.3k

Countries citing papers authored by MTW

Since Specialization
Citations

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

Fields of papers citing papers by MTW

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of MTW

This figure shows the co-authorship network connecting the top 25 collaborators of MTW. A scholar is included among the top collaborators of MTW 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 MTW. MTW 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.
MTW, et al.. (2000). Computational Probability. Journal of the American Statistical Association. 95(452). 1382–1382. 49 indexed citations
2.
MTW, et al.. (2000). Computation, Causation and Discovery. Journal of the American Statistical Association. 95(451). 1019–1019. 76 indexed citations
3.
MTW & Eric W. Weisstein. (2000). CRC Concise Encyclopedia of Mathematics. Journal of the American Statistical Association. 95(450). 690–690. 225 indexed citations
4.
MTW, Todd D. Little, Kai U. Schnabel, & Jürgen Baumert. (2000). Modeling Longitudinal and Multilevel Data. Journal of the American Statistical Association. 95(452). 1381–1381. 106 indexed citations
5.
MTW, et al.. (2000). Nonparametric Statistics for Stochastic Process: Estimation and Prediction. Journal of the American Statistical Association. 95(451). 1020–1020. 145 indexed citations
6.
MTW, Zhongying Chen, Yuesheng Li, Charles A. Micchelli, & Yuesheng Xu. (2000). Advances in Computational Mathematics. Journal of the American Statistical Association. 95(450). 690–690. 20 indexed citations
7.
MTW & Susan S. Devesa. (2000). Atlas of Cancer Mortality in the United States: 1950-94. Journal of the American Statistical Association. 95(452). 1382–1382. 130 indexed citations
8.
MTW, et al.. (2000). Lectures on Contemporary Probability. Journal of the American Statistical Association. 95(450). 689–689. 9 indexed citations
9.
MTW & Subir Ghosh. (2000). Multivariate Analysis, Design of Experiments, and Survey Sampling. Journal of the American Statistical Association. 95(451). 1019–1019. 2 indexed citations
10.
MTW, Jean Dickinson Gibbons, Ingram Olkin, & Milton Sobel. (2000). Selecting and Ordering Populations: A New Statistical Methodology. Journal of the American Statistical Association. 95(449). 349–349. 90 indexed citations
11.
MTW, Ole E. Barndorff–Nielsen, Wilfrid S. Kendall, & M. N. M. van Lieshout. (2000). Stochastic Geometry Likelihood and Computation. Journal of the American Statistical Association. 95(452). 1381–1381. 135 indexed citations
12.
MTW, Huan Liu, & Hiroshi Motoda. (1999). Feature Extraction Construction and Selection: A Data Mining Perspective. Journal of the American Statistical Association. 94(448). 1390–1390. 443 indexed citations
13.
MTW, I. V. Basawa, V. P. Godambe, & Robert L. Taylor. (1999). Selected Proceedings of the Symposium on Estimating Functions (Vol. 32, Institute of Mathematical Sciences Lecture Notes-Monograph Series). Journal of the American Statistical Association. 94(447). 991–991.
14.
MTW, et al.. (1999). Numerical Methods in Finance. Journal of the American Statistical Association. 94(446). 658–658. 1 indexed citations
15.
MTW, et al.. (1998). The Practice of Bayesian Analysis. Journal of the American Statistical Association. 93(443). 1251–1251. 45 indexed citations
16.
MTW, et al.. (1998). Advances in Combinatorial Methods and Applications to Probability and Statistics. Journal of the American Statistical Association. 93(443). 1251–1251. 61 indexed citations
17.
MTW & Arnold Zellner. (1998). Bayesian Analysis in Econometrics and Statistics: The Zellner View and Papers. Journal of the American Statistical Association. 93(443). 1251–1251. 38 indexed citations
18.
MTW & Hiroshi Kunita. (1998). Stochastic Flows and Stochastic Differential Equations. Journal of the American Statistical Association. 93(443). 1251–1251. 570 indexed citations breakdown →
19.
MTW, Göran Högnäs, & Arunava Mukherjea. (1997). Probability Measures On Semigroups: Convolution Products, Random Walks, and Random Matrices.. Journal of the American Statistical Association. 92(440). 1656–1656. 11 indexed citations
20.
MTW, Donald A. Berry, & Dalene Stangl. (1996). Bayesian Biostatistics.. Journal of the American Statistical Association. 91(436). 1754–1754. 42 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.

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