Mary Beth Nebel
- Cognitive Neuroscience top 1%
- Radiology, Nuclear Medicine and Imaging top 2%
- Psychiatry and Mental health top 2%
- Health, Toxicology and Mutagenesis top 2%
- Clinical Psychology top 5%
- Co-authors
- Stewart H. MostofskyAnita D. BarberJames J. PekarBrian CaffoMartin A. LindquistPhil MaguireThomas HerzogJohn Muschelli
- Topics
- Functional Brain Connectivity Studies (33 papers)Neural dynamics and brain function (14 papers)Attention Deficit Hyperactivity Disorder (12 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of the American Statistical AssociationNature Neuroscience
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Mary Beth Nebel
53 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 148
- Cognitive Neuroscience 2.2k
- Radiology, Nuclear Medicine and Imaging 682
- Psychiatry and Mental health 592
- Health, Toxicology and Mutagenesis 376
- Clinical Psychology 301
Countries citing papers authored by Mary Beth Nebel
This map shows the geographic impact of Mary Beth Nebel'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 Mary Beth Nebel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mary Beth Nebel more than expected).
Fields of papers citing papers by Mary Beth Nebel
This network shows the impact of papers produced by Mary Beth Nebel. 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 Mary Beth Nebel. The network helps show where Mary Beth Nebel may publish in the future.
Co-authorship network of co-authors of Mary Beth Nebel
This figure shows the co-authorship network connecting the top 25 collaborators of Mary Beth Nebel. A scholar is included among the top collaborators of Mary Beth Nebel 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 Mary Beth Nebel. Mary Beth Nebel 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 | 7 | |
| 3 | 22 | |
| 4 | 19 | |
| 5 | 100 | |
| 6 | M-GCN: A Multimodal Graph Convolutional Network to Integrate Functional and Structural Connectomics Data to Predict Multidimensional Phenotypic Characterizations | 9 |
| 7 | 13 | |
| 8 | 45 | |
| 9 | 27 | |
| 10 | 6 | |
| 11 | 1 | |
| 12 | 6 | |
| 13 | 31 | |
| 14 | 106 | |
| 15 | 75 | |
| 16 | 65 | |
| 17 | 317 | |
| 18 | 24 | |
| 19 | 36 | |
| 20 | 36 |
About Mary Beth Nebel
Mary Beth Nebel is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Radiology, Nuclear Medicine and Imaging, having authored 54 papers that have together received 3.2k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (33 papers), Neural dynamics and brain function (14 papers) and Attention Deficit Hyperactivity Disorder (12 papers). The work is most often cited by research in Cognitive Neuroscience (2.2k citations), Psychiatry and Mental health (592 citations) and Radiology, Nuclear Medicine and Imaging (682 citations). Mary Beth Nebel has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Stewart H. Mostofsky, Anita D. Barber, James J. Pekar, Brian Caffo, Martin A. Lindquist, Phil Maguire, Thomas Herzog, John Muschelli, Yuting Xu and Ani Eloyan. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Nature Neuroscience.
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.