Emma C. Robinson

14.9k total citations · 5 hit papers
45 papers, 6.5k citations indexed

About

Emma C. Robinson is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Emma C. Robinson has authored 45 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Cognitive Neuroscience, 26 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Emma C. Robinson's work include Functional Brain Connectivity Studies (27 papers), Advanced Neuroimaging Techniques and Applications (24 papers) and Advanced MRI Techniques and Applications (10 papers). Emma C. Robinson is often cited by papers focused on Functional Brain Connectivity Studies (27 papers), Advanced Neuroimaging Techniques and Applications (24 papers) and Advanced MRI Techniques and Applications (10 papers). Emma C. Robinson collaborates with scholars based in United Kingdom, United States and Netherlands. Emma C. Robinson's co-authors include Matthew F. Glasser, David C. Van Essen, Stephen M. Smith, Mark Jenkinson, Kâmil Uǧurbil, Jesper Andersson, Christian F. Beckmann, Timothy S. Coalson, Essa Yacoub and John Harwell and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Emma C. Robinson

43 papers receiving 6.4k citations

Hit Papers

A multi-modal parcellation of human cerebral cortex 2013 2026 2017 2021 2016 2013 2016 2014 2021 500 1000 1.5k 2.0k 2.5k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A multi-modal parcellation of human cerebral cortex
    2016 3.0k citations Matthew F. Glasser, Timothy S. Coalson et al. Nature profile →
  2. Functional connectomics from resting-state fMRI
    2013 683 citations Stephen M. Smith, Diego Vidaurre et al. Trends in Cognitive Sciences profile →
  3. The Human Connectome Project's neuroimaging approach
    2016 660 citations Matthew F. Glasser, Stephen M. Smith et al. profile →
  4. MSM: A new flexible framework for Multimodal Surface Matching
    2014 393 citations Emma C. Robinson, Saâd Jbabdi et al. NeuroImage profile →
  5. A survey on active learning and human-in-the-loop deep learning for medical image analysis
    2021 336 citations Emma C. Robinson, Bernhard Kainz et al. Medical Image Analysis profile →

Peers

Emma C. Robinson
Leila Cammoun Switzerland
Matthew Webster United Kingdom
Timothy S. Coalson United States
John Harwell United States
Junqian Xu United States
Alfred Anwander Germany
Gabriele Lohmann Germany
Moo K. Chung United States
Lilla Zöllei United States
Alard Roebroeck Netherlands
Leila Cammoun Switzerland
Emma C. Robinson
Citations per year, relative to Emma C. Robinson Emma C. Robinson (= 1×) peers Leila Cammoun

Countries citing papers authored by Emma C. Robinson

Since Specialization
Citations

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

Fields of papers citing papers by Emma C. Robinson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emma C. Robinson. 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 Emma C. Robinson. The network helps show where Emma C. Robinson may publish in the future.

Co-authorship network of co-authors of Emma C. Robinson

This figure shows the co-authorship network connecting the top 25 collaborators of Emma C. Robinson. A scholar is included among the top collaborators of Emma C. Robinson 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 Emma C. Robinson. Emma C. Robinson 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.
2.
Robinson, Emma C., et al.. (2024). Reversing aberrant phase transitions of ALS-linked disease protein FUS with RNA. Biophysical Journal. 123(3). 216a–216a. 1 indexed citations
3.
Robinson, Emma C., et al.. (2024). Applications of interpretable deep learning in neuroimaging: A comprehensive review. Imaging Neuroscience. 2. 6 indexed citations
4.
Ball, Gareth, Stuart Oldham, Vanessa Kyriakopoulou, et al.. (2024). Molecular signatures of cortical expansion in the human foetal brain. Nature Communications. 15(1). 9685–9685. 5 indexed citations
5.
Ma, Qiang, Kaili Liang, Liu Li, et al.. (2024). The Developing Human Connectome Project: A fast deep learning-based pipeline for neonatal cortical surface reconstruction. Medical Image Analysis. 100. 103394–103394. 2 indexed citations
6.
Williams, Logan Z. J., Sean P. Fitzgibbon, Jelena Božek, et al.. (2023). Structural and functional asymmetry of the neonatal cerebral cortex. Nature Human Behaviour. 7(6). 942–955. 22 indexed citations
7.
Topiwala, Anya, Thomas E. Nichols, Logan Z. J. Williams, et al.. (2023). Telomere length and brain imaging phenotypes in UK Biobank. PLoS ONE. 18(3). e0282363–e0282363. 18 indexed citations
8.
Sudre, Carole H., Logan Z. J. Williams, Petru-Daniel Tudosiu, et al.. (2022). ICAM-Reg: Interpretable Classification and Regression With Feature Attribution for Mapping Neurological Phenotypes in Individual Scans. IEEE Transactions on Medical Imaging. 42(4). 959–970. 17 indexed citations
9.
Eichert, Nicole, Emma C. Robinson, Katherine Bryant, et al.. (2020). Cross-species cortical alignment identifies different types of anatomical reorganization in the primate temporal lobe. eLife. 9. 63 indexed citations
10.
Ball, Gareth, Jakob Seidlitz, Jonathan O’Muircheartaigh, et al.. (2020). Cortical morphology at birth reflects spatiotemporal patterns of gene expression in the fetal human brain. PLoS Biology. 18(11). e3000976–e3000976. 34 indexed citations
11.
Eichert, Nicole, Emma C. Robinson, Katherine Bryant, et al.. (2019). Cross-species cortical alignment identifies different types of neuroanatomical reorganization in higher primates. Annual Review of Biophysics. 1 indexed citations
12.
Garcia, Kara, Emma C. Robinson, Dimitrios Alexopoulos, et al.. (2018). Dynamic patterns of cortical expansion during folding of the preterm human brain. Proceedings of the National Academy of Sciences. 115(12). 3156–3161. 86 indexed citations
13.
Passerat‐Palmbach, Jonathan, Romain Reuillon, Antonios Makropoulos, et al.. (2017). Reproducible Large-Scale Neuroimaging Studies with the OpenMOLE Workflow Management System. Frontiers in Neuroinformatics. 11. 21–21. 2 indexed citations
14.
Arslan, Salim, Sofia Ira Ktena, Antonios Makropoulos, et al.. (2017). Human brain mapping: A systematic comparison of parcellation methods for the human cerebral cortex. NeuroImage. 170. 5–30. 230 indexed citations
15.
Glasser, Matthew F., Timothy S. Coalson, Emma C. Robinson, et al.. (2016). A multi-modal parcellation of human cerebral cortex. Nature. 536(7615). 171–178. 2972 indexed citations breakdown →
16.
Robinson, Emma C., Saâd Jbabdi, Matthew F. Glasser, et al.. (2014). MSM: A new flexible framework for Multimodal Surface Matching. NeuroImage. 100. 414–426. 393 indexed citations breakdown →
17.
Smith, Stephen M., Diego Vidaurre, Christian F. Beckmann, et al.. (2013). Functional connectomics from resting-state fMRI. Trends in Cognitive Sciences. 17(12). 666–682. 683 indexed citations breakdown →
18.
Pandit, Anand, Emma C. Robinson, Paul Aljabar, et al.. (2013). Whole-Brain Mapping of Structural Connectivity in Infants Reveals Altered Connection Strength Associated with Growth and Preterm Birth. Cerebral Cortex. 24(9). 2324–2333. 74 indexed citations
19.
Deligianni, Fani, Emma C. Robinson, David Sharp, et al.. (2011). Hierarchy in structural brain networks.. 29–34. 1 indexed citations
20.
Robinson, Emma C., Alexander Hammers, Anders Ericsson, A. David Edwards, & Daniel Rueckert. (2010). Identifying population differences in whole-brain structural networks: A machine learning approach. NeuroImage. 50(3). 910–919. 63 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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