Jack Murtagh

529 total citations
12 papers, 275 citations indexed

About

Jack Murtagh is a scholar working on Statistics and Probability, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Jack Murtagh has authored 12 papers receiving a total of 275 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Statistics and Probability, 4 papers in Artificial Intelligence and 4 papers in Computational Theory and Mathematics. Recurrent topics in Jack Murtagh's work include Complexity and Algorithms in Graphs (4 papers), Reading and Literacy Development (4 papers) and Markov Chains and Monte Carlo Methods (3 papers). Jack Murtagh is often cited by papers focused on Complexity and Algorithms in Graphs (4 papers), Reading and Literacy Development (4 papers) and Markov Chains and Monte Carlo Methods (3 papers). Jack Murtagh collaborates with scholars based in United States. Jack Murtagh's co-authors include Patricia P. Chang, Joanna A. Christodoulou, Abigail Cyr, John D. E. Gabrieli, Kelly Halverson, Pamela E. Hook, Tyler K. Perrachione, Satrajit Ghosh, Penelope Sanderson and Rachel Romeo and has published in prestigious journals such as Neuron, Cerebral Cortex and SIAM Journal on Computing.

In The Last Decade

Jack Murtagh

11 papers receiving 269 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jack Murtagh United States 6 174 138 68 56 33 12 275
David M. Gómez Chile 11 153 0.9× 139 1.0× 108 1.6× 97 1.7× 81 2.5× 22 363
Trecy Martinez Perez Belgium 7 222 1.3× 274 2.0× 108 1.6× 47 0.8× 33 1.0× 13 386
Amanda Saksida Italy 7 162 0.9× 99 0.7× 68 1.0× 32 0.6× 37 1.1× 18 241
Harald Beneventi Norway 8 168 1.0× 141 1.0× 94 1.4× 28 0.5× 31 0.9× 11 291
Pamela E. Hook United States 11 381 2.2× 123 0.9× 107 1.6× 215 3.8× 29 0.9× 18 474
Anna A. Matejko Canada 12 157 0.9× 161 1.2× 229 3.4× 108 1.9× 22 0.7× 19 335
Marie Van Reybroeck Belgium 10 234 1.3× 129 0.9× 80 1.2× 121 2.2× 20 0.6× 28 298
Myriam Oliver Spain 5 220 1.3× 236 1.7× 62 0.9× 28 0.5× 48 1.5× 5 301
Katarzyna Chyl Poland 12 289 1.7× 246 1.8× 100 1.5× 47 0.8× 65 2.0× 19 352

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).

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.

Co-authorship network of co-authors of Jack Murtagh

This figure shows the co-authorship network connecting the top 25 collaborators of Jack Murtagh. A scholar is included among the top collaborators of Jack Murtagh 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 Jack Murtagh. Jack Murtagh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Murtagh, Jack, Omer Reingold, Aaron Sidford, & Salil Vadhan. (2021). . Theory of Computing. 17(1). 1–35. 1 indexed citations
2.
Murtagh, Jack, Omer Reingold, Aaron Sidford, & Salil Vadhan. (2021). Derandomization beyond Connectivity: Undirected Laplacian Systems in Nearly Logarithmic Space. SIAM Journal on Computing. 50(6). 1892–1922.
3.
Murtagh, Jack & Salil Vadhan. (2018). . Theory of Computing. 14(1). 1–35. 2 indexed citations
4.
Murtagh, Jack, et al.. (2018). Thwarting Adversarial Examples: An $L_0$-RobustSparse Fourier Transform. arXiv (Cornell University). 31. 10075–10085. 1 indexed citations
5.
Murtagh, Jack, Omer Reingold, Aaron Sidford, & Salil Vadhan. (2017). Derandomization Beyond Connectivity: Undirected Laplacian Systems in Nearly Logarithmic Space. 801–812. 4 indexed citations
6.
Romeo, Rachel, Joanna A. Christodoulou, Kelly Halverson, et al.. (2017). Socioeconomic Status and Reading Disability: Neuroanatomy and Plasticity in Response to Intervention. Cerebral Cortex. 28(7). 2297–2312. 82 indexed citations
7.
Hook, Pamela E., Rachel Romeo, Joanna A. Christodoulou, et al.. (2017). Socioeconomic Status and Reading Disability: Neuroanatomy and Plasticity in Response to Intervention. DSpace@MIT (Massachusetts Institute of Technology). 7 indexed citations
8.
Christodoulou, Joanna A., Jack Murtagh, Abigail Cyr, et al.. (2016). Relation of white-matter microstructure to reading ability and disability in beginning readers.. Neuropsychology. 31(5). 508–515. 23 indexed citations
9.
Perrachione, Tyler K., Stephanie N. Del Tufo, Jack Murtagh, et al.. (2016). Dysfunction of Rapid Neural Adaptation in Dyslexia. Neuron. 92(6). 1383–1397. 100 indexed citations
10.
Christodoulou, Joanna A., Abigail Cyr, Jack Murtagh, et al.. (2015). Impact of Intensive Summer Reading Intervention for Children With Reading Disabilities and Difficulties in Early Elementary School. Journal of Learning Disabilities. 50(2). 115–127. 35 indexed citations
11.
Sanderson, Penelope & Jack Murtagh. (2003). Troubleshooting with an inaccurate mental model. 14. 1238–1243. 5 indexed citations
12.
Sanderson, Penelope & Jack Murtagh. (1990). Predicting fault diagnosis performance: why are some bugs hard to find?. IEEE Transactions on Systems Man and Cybernetics. 20(1). 274–283. 15 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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