Mark Tygert

30 papers and 1.6k indexed citations i.

About

Mark Tygert is a scholar working on Computational Mechanics, Artificial Intelligence and Statistics and Probability. According to data from OpenAlex, Mark Tygert has authored 30 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computational Mechanics, 13 papers in Artificial Intelligence and 7 papers in Statistics and Probability. Recurrent topics in Mark Tygert’s work include Sparse and Compressive Sensing Techniques (12 papers), Stochastic Gradient Optimization Techniques (8 papers) and Electromagnetic Scattering and Analysis (6 papers). Mark Tygert is often cited by papers focused on Sparse and Compressive Sensing Techniques (12 papers), Stochastic Gradient Optimization Techniques (8 papers) and Electromagnetic Scattering and Analysis (6 papers). Mark Tygert collaborates with scholars based in United States and Israel. Mark Tygert's co-authors include Vladimir Rokhlin, Per‐Gunnar Martinsson, Edo Liberty, Arthur Szlam, Yoel Shkolnisky, Nathan Halko, Yann LeCun, Soumith Chintala, Joan Bruna and Serkan Piantino and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Journal of Computational Physics.

In The Last Decade

Co-authorship network of co-authors of Mark Tygert i

Fields of papers citing papers by Mark Tygert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mark Tygert

Since Specialization
Citations

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