Madison M. Berl
- Cognitive Neuroscience top 1%
- Psychiatry and Mental health top 1%
- Pediatrics, Perinatology and Child Health top 2%
- Developmental and Educational Psychology top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Co-authors
- William D. GaillardChandan J. VaidyaLisa R. RosenbergerEva K. RitzlWilliam H. TheodoreE. N. MooreLeigh SepetaJohn W. VanMeter
- Topics
- Epilepsy research and treatment (47 papers)Neurobiology of Language and Bilingualism (26 papers)Functional Brain Connectivity Studies (18 papers)
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaNeuroImage
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Madison M. Berl
81 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 107
- Cognitive Neuroscience 1.4k
- Psychiatry and Mental health 1.0k
- Pediatrics, Perinatology and Child Health 530
- Developmental and Educational Psychology 352
- Radiology, Nuclear Medicine and Imaging 345
Countries citing papers authored by Madison M. Berl
This map shows the geographic impact of Madison M. Berl'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 Madison M. Berl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Madison M. Berl more than expected).
Fields of papers citing papers by Madison M. Berl
This network shows the impact of papers produced by Madison M. Berl. 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 Madison M. Berl. The network helps show where Madison M. Berl may publish in the future.
Co-authorship network of co-authors of Madison M. Berl
This figure shows the co-authorship network connecting the top 25 collaborators of Madison M. Berl. A scholar is included among the top collaborators of Madison M. Berl 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 Madison M. Berl. Madison M. Berl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 2 | |
| 11 | 0 | |
| 12 | 3 | |
| 13 | 0 | |
| 14 | 8 | |
| 15 | 14 | |
| 16 | 5 | |
| 17 | Topologic analysis and comparison of brain activation in children with epilepsy versus controls: An fMRI study | 0 |
| 18 | 41 | |
| 19 | 53 | |
| 20 | 7 |
About Madison M. Berl
Madison M. Berl is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience and Pediatrics, Perinatology and Child Health, having authored 91 papers that have together received 2.3k indexed citations. Recurring topics across this work include Epilepsy research and treatment (47 papers), Neurobiology of Language and Bilingualism (26 papers) and Functional Brain Connectivity Studies (18 papers). The work is most often cited by research in Cognitive Neuroscience (1.4k citations), Psychiatry and Mental health (1.0k citations) and Developmental and Educational Psychology (352 citations). Madison M. Berl has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include William D. Gaillard, Chandan J. Vaidya, Lisa R. Rosenberger, Eva K. Ritzl, William H. Theodore, E. N. Moore, Leigh Sepeta, John W. VanMeter, Joan A. Conry and Nan Bernstein Ratner. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and NeuroImage.
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.