Peter R. Mouton

7.1k total citations · 2 hit papers
100 papers, 5.3k citations indexed

About

Peter R. Mouton is a scholar working on Molecular Biology, Biophysics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Peter R. Mouton has authored 100 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 21 papers in Biophysics and 19 papers in Cellular and Molecular Neuroscience. Recurrent topics in Peter R. Mouton's work include Cell Image Analysis Techniques (20 papers), Alzheimer's disease research and treatments (16 papers) and Neuroinflammation and Neurodegeneration Mechanisms (14 papers). Peter R. Mouton is often cited by papers focused on Cell Image Analysis Techniques (20 papers), Alzheimer's disease research and treatments (16 papers) and Neuroinflammation and Neurodegeneration Mechanisms (14 papers). Peter R. Mouton collaborates with scholars based in United States, Saudi Arabia and Czechia. Peter R. Mouton's co-authors include Michael E. Calhoun, Donald K. Ingram, Mathias Jucker, Jeffrey M. Long, Eric Courchesne, Donald L. Price, Dmitry B. Goldgof, Cynthia Carter Barnes, Karen Pierce and Lawrence Hall and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and JAMA.

In The Last Decade

Peter R. Mouton

98 papers receiving 5.2k citations

Hit Papers

Neuron Number and Size in Prefrontal Cortex of Children W... 2011 2026 2016 2021 2011 2014 100 200 300 400 500

Peers

Peter R. Mouton
Dara L. Dickstein United States
Bryce Vissel Australia
Hui‐Chen Lu United States
Wing‐Ho Yung Hong Kong
Jeffrey M. Long United States
David T. Yew Hong Kong
Yong Tang China
Dara L. Dickstein United States
Peter R. Mouton
Citations per year, relative to Peter R. Mouton Peter R. Mouton (= 1×) peers Dara L. Dickstein

Countries citing papers authored by Peter R. Mouton

Since Specialization
Citations

This map shows the geographic impact of Peter R. Mouton'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 Peter R. Mouton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter R. Mouton more than expected).

Fields of papers citing papers by Peter R. Mouton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter R. Mouton. 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 Peter R. Mouton. The network helps show where Peter R. Mouton may publish in the future.

Co-authorship network of co-authors of Peter R. Mouton

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

All Works

20 of 20 papers shown
1.
Zamzmi, Ghada, Peter R. Mouton, Stephanie Prescott, et al.. (2024). Accurate Neonatal Face Detection for Improved Pain Classification in the Challenging NICU Setting. IEEE Access. 12. 49122–49133. 5 indexed citations
2.
Hall, Lawrence, et al.. (2024). Repeatability of Fine-Tuning Large Language Models Illustrated Using QLoRA. IEEE Access. 12. 153221–153231. 5 indexed citations
4.
Hossain, Md. Imran, Ghada Zamzmi, Peter R. Mouton, Yu Sun, & Dmitry Goldgof. (2024). Enhancing Concept-Based Explanation with Vision-Language Models. PubMed. 2024. 219–224. 1 indexed citations
5.
Hossain, Md. Imran, et al.. (2023). Explainable AI for Medical Data: Current Methods, Limitations, and Future Directions. ACM Computing Surveys. 57(6). 1–46. 25 indexed citations
6.
Hossain, Md. Imran, Ghada Zamzmi, Peter R. Mouton, Yu Sun, & Dmitry B. Goldgof. (2023). Enhancing Neonatal Pain Assessment Transparency via Explanatory Training Examples Identification. PubMed. 2023. 311–316. 1 indexed citations
7.
Goldgof, Dmitry B., et al.. (2022). A Review of Nuclei Detection and Segmentation on Microscopy Images Using Deep Learning With Applications to Unbiased Stereology Counting. IEEE Transactions on Neural Networks and Learning Systems. 35(6). 7458–7477. 6 indexed citations
8.
Goldgof, Dmitry B., et al.. (2021). An adaptive digital stain separation method for deep learning-based automatic cell profile counts. Journal of Neuroscience Methods. 354. 109102–109102. 5 indexed citations
9.
Mouton, Peter R., Ghada Zamzmi, Dmitry B. Goldgof, et al.. (2021). Future roles of artificial intelligence in early pain management of newborns. SHILAP Revista de lepidopterología. 3(3). 134–145. 19 indexed citations
10.
Goldgof, Dmitry B., et al.. (2020). Challenges for the Repeatability of Deep Learning Models. IEEE Access. 8. 211860–211868. 51 indexed citations
11.
Phoulady, Hady Ahmady, Dmitry B. Goldgof, Lawrence Hall, Kevin Nash, & Peter R. Mouton. (2019). Automatic stereology of mean nuclear size of neurons using an active contour framework. Journal of Chemical Neuroanatomy. 96. 110–115. 3 indexed citations
12.
Marcek, John, Carlin V. Okerberg, Chang‐Ning Liu, et al.. (2016). Anti-NGF monoclonal antibody muMab 911 does not deplete neurons in the superior cervical ganglia of young or old adult rats. Journal of Chemical Neuroanatomy. 76(Pt B). 133–141. 5 indexed citations
13.
Chow, Maggie, Maureen P. Boyle, Susan M. Sunkin, et al.. (2014). Patches of Disorganization in the Neocortex of Children with Autism. New England Journal of Medicine. 370(13). 1209–1219. 507 indexed citations breakdown →
14.
Selenica, Maj-Linda B., Kevin Nash, Daniel C. Lee, et al.. (2013). Diverse activation of microglia by chemokine (C-C motif) ligand 2 overexpression in brain. Journal of Neuroinflammation. 10(1). 86–86. 84 indexed citations
15.
Mouton, Peter R., Yousef Tizabi, Mary Ann Ottinger, et al.. (2007). Catecholaminergic neuronal loss in locus coeruleus of aged female dtg APP/PS1 mice. Journal of Chemical Neuroanatomy. 34(3-4). 102–107. 55 indexed citations
16.
Perry, Tracy Ann, Ananda Weerasuriya, Peter R. Mouton, Harold W. Holloway, & Nigel H. Greig. (2004). Pyridoxine-induced toxicity in rats: a stereological quantification of the sensory neuropathy. Experimental Neurology. 190(1). 133–144. 44 indexed citations
17.
Chérìn, P., D. Ménard, Peter R. Mouton, et al.. (2001). Macrophagic myofasciitis associated with inclusion body myositis: a report of three cases. Neuromuscular Disorders. 11(5). 452–457. 20 indexed citations
18.
Mouton, Peter R., Bente Pakkenberg, Hans Jørgen G. Gundersen, & Donald L. Price. (1994). Absolute number and size of pigmented locus coeruleus neurons in young and aged individuals. Journal of Chemical Neuroanatomy. 7(3). 185–190. 143 indexed citations
19.
20.
Ebendal, Ted, Maria Eriksdotter, Patrik Ernfors, et al.. (1990). Chapter 7 Grafts, growth factors and grafts that make growth factors. Progress in brain research. 82. 55–66. 26 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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