Jack Murtagh
Impact in
-
- Reading and Literacy Development
- Language Development and Disorders
- Statistics and Probability top 5%
- Cognitive and developmental aspects of mathematical skills
Papers in
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- Markov Chains and Monte Carlo Methods 4
- Cognitive and developmental aspects of mathematical skills 2
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- Complexity and Algorithms in Graphs 6
- Advanced Graph Theory Research 2
- Co-authors
- Salil Vadhan (7 shared papers)Patricia P. Chang (5 shared papers)John D. E. Gabrieli (5 shared papers)Joanna A. Christodoulou (5 shared papers)Abigail Cyr (5 shared papers)Kelly K. Halverson (4 shared papers)Pamela E. Hook (4 shared papers)Tyler K. Perrachione (2 shared papers)
- Journals
- Theory of Computing (2 papers)Cerebral Cortex (1 paper)SIAM Journal on Computing (1 paper)Neuropsychology (1 paper)Neuron (1 paper)
- Partner nations
- United States
In The Last Decade
Jack Murtagh
12 papers receiving 344 citations
Peers
Comparison fields: 5 of 64
- Developmental and Educational Psychology 184
- Statistics and Probability 76
- Cognitive Neuroscience 137
- Experimental and Cognitive Psychology 33
- Artificial Intelligence 72
Countries citing papers authored by Jack Murtagh
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
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-authors
The 19 scholars most cited alongside Jack Murtagh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 102 | |
| 2 | 2017 | 94 | |
| 3 | 2015 | 53 | |
| 4 | 2015 | 38 | |
| 5 | 2016 | 24 | |
| 6 | 1990 | 15 | |
| 7 | Socioeconomic Status and Reading Disability: Neuroanatomy and Plasticity in Response to Intervention | 2017 | 9 |
| 8 | 2003 | 7 | |
| 9 | 2017 | 6 | |
| 10 | 2018 | 4 | |
| 11 | 2021 | 1 | |
| 12 | 2020 | 1 | |
| 13 | 2020 | 0 | |
| 14 | 2021 | 0 |
About Jack Murtagh
Jack Murtagh is a scholar working on Statistics and Probability, Computational Theory and Mathematics, Developmental and Educational Psychology, Artificial Intelligence and Cognitive Neuroscience, having authored 14 papers that have together received 354 indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (6 papers), Markov Chains and Monte Carlo Methods (4 papers), Reading and Literacy Development (3 papers), Cryptography and Data Security (2 papers), Bayesian Modeling and Causal Inference (2 papers), Advanced Graph Theory Research (2 papers), Advanced Text Analysis Techniques (2 papers) and Cognitive and developmental aspects of mathematical skills (2 papers). The work is most often cited by research in Developmental and Educational Psychology (184 citations), Statistics and Probability (76 citations), Cognitive Neuroscience (137 citations), Experimental and Cognitive Psychology (33 citations) and Artificial Intelligence (72 citations). Jack Murtagh has collaborated with scholars based in United States. Frequent co-authors include Salil Vadhan, Patricia P. Chang, John D. E. Gabrieli, Joanna A. Christodoulou, Abigail Cyr, Kelly K. Halverson, Pamela E. Hook, Tyler K. Perrachione, Satrajit Ghosh and Penelope M. Sanderson. Their work appears in journals such as Theory of Computing, Cerebral Cortex, SIAM Journal on Computing, Neuropsychology and Neuron.
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.