Jack Murtagh

About

Jack Murtagh is a scholar working on Computational Theory and Mathematics, Statistics and Probability and Developmental and Educational Psychology. According to data from OpenAlex, Jack Murtagh has authored 13 papers receiving a total of 249 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computational Theory and Mathematics, 7 papers in Statistics and Probability and 4 papers in Developmental and Educational Psychology. Recurrent topics in Jack Murtagh’s work include Combinatorial Optimization and Complexity Theory (7 papers), Markov Chains and Monte Carlo Methods (5 papers) and Reading and Literacy Development (4 papers). Jack Murtagh is often cited by papers focused on Combinatorial Optimization and Complexity Theory (7 papers), Markov Chains and Monte Carlo Methods (5 papers) and Reading and Literacy Development (4 papers). Jack Murtagh collaborates with scholars based in United States. Jack Murtagh's co-authors include John D. E. Gabrieli, Abigail Cyr, Patricia P. Chang, Joanna A. Christodoulou, Kelly Halverson, Pamela E. Hook, Tyler K. Perrachione, Satrajit Ghosh, Stephanie N. Del Tufo and Rachel Romeo and has published in prestigious journals such as Neuron, Cerebral Cortex and SIAM Journal on Computing.

In The Last Decade

Co-authorship network of co-authors of Jack Murtagh i

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Fields of papers citing papers by Jack Murtagh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jack Murtagh

Since Specialization

Citations

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