Martin J. Strauss

30 papers and 1.6k indexed citations i.

About

Martin J. Strauss is a scholar working on Artificial Intelligence, Computational Mechanics and Signal Processing. According to data from OpenAlex, Martin J. Strauss has authored 30 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 10 papers in Computational Mechanics and 10 papers in Signal Processing. Recurrent topics in Martin J. Strauss’s work include Sparse and Compressive Sensing Techniques (10 papers), Machine Learning and Algorithms (5 papers) and Blind Source Separation Techniques (5 papers). Martin J. Strauss is often cited by papers focused on Sparse and Compressive Sensing Techniques (10 papers), Machine Learning and Algorithms (5 papers) and Blind Source Separation Techniques (5 papers). Martin J. Strauss collaborates with scholars based in United States, Israel and Germany. Martin J. Strauss's co-authors include Anna C. Gilbert, Joel A. Tropp, Joan Feigenbaum, S. Muthukrishnan, Yannis Kotidis, S. Muthukrishnan, Edith Cohen, Paul Resnick, Mark Iwen and Xiaolin Shi and has published in prestigious journals such as Journal of Computational Physics, Physica A Statistical Mechanics and its Applications and SIAM Journal on Computing.

In The Last Decade

Co-authorship network of co-authors of Martin J. Strauss i

Fields of papers citing papers by Martin J. Strauss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Martin J. Strauss

Since Specialization
Citations

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