MTW

About

MTW is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Signal Processing. According to data from OpenAlex, MTW has authored 38 papers receiving a total of 8.8k indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 2 papers in Computational Theory and Mathematics and 2 papers in Signal Processing. Recurrent topics in MTW’s work include Data Management and Algorithms (2 papers), Statistical Methods in Clinical Trials (1 paper) and Fixed Point Theorems Analysis (1 paper). MTW is often cited by papers focused on Data Management and Algorithms (2 papers), Statistical Methods in Clinical Trials (1 paper) and Fixed Point Theorems Analysis (1 paper). MTW collaborates with scholars based in United States, Canada and Austria. MTW's co-authors include Hiroshi Kunita, Martin A. Tanner, Denis Mollison, Huan Liu, Hiroshi Motoda, Eric W. Weisstein, Richard Bellman, David Saad, Susan S. Devesa and А. А. Боровков and has published in prestigious journals such as Journal of the American Statistical Association.

In The Last Decade

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.

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.

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).

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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