Emma C. Robinson

14.9k citations

45 papers · 6.5k indexed · 5 hit papers · h-index 20

Cognitive Neuroscience top 0.2%
Radiology, Nuclear Medicine and Imaging top 0.2%
Experimental and Cognitive Psychology top 2%
Pediatrics, Perinatology and Child Health top 2%
Psychiatry and Mental health top 5%

Co-authors: Matthew F. Glasser David C. Van Essen Stephen M. Smith Mark Jenkinson Kâmil Uǧurbil Jesper Andersson Christian F. Beckmann Timothy S. Coalson
Topics: Functional Brain Connectivity Studies (27 papers)Advanced Neuroimaging Techniques and Applications (24 papers)Advanced MRI Techniques and Applications (10 papers)
Cited by: Cognitive Neuroscience Radiology, Nuclear Medicine and Imaging Experimental and Cognitive Psychology
Journals: Nature Proceedings of the National Academy of Sciences Nature Communications
Partner nations: United Kingdom United States Netherlands

In The Last Decade

Emma C. Robinson

43 papers receiving 6.4k citations

Hit Papers

5 papers align trajectories

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.

A multi-modal parcellation of human cerebral cortex

2016 3.0k citations Matthew F. Glasser, Timothy S. Coalson et al. Nature profile →
Functional connectomics from resting-state fMRI

2013 683 citations Stephen M. Smith, Diego Vidaurre et al. Trends in Cognitive Sciences profile →
The Human Connectome Project's neuroimaging approach

2016 660 citations Matthew F. Glasser, Stephen M. Smith et al. profile →
MSM: A new flexible framework for Multimodal Surface Matching

2014 393 citations Emma C. Robinson, Saâd Jbabdi et al. NeuroImage profile →
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

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

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20 of 20 papers shown

#	Work	Indexed citations
1	Novel Poly-Arginine Peptide R18D Reduces α-Synuclein Aggregation and Uptake of α-Synuclein Seeds in Cortical Neurons 2025 ·Biomedicines ·Emma C. Robinson,Anastazja M. Gorecki,(unknown),(unknown),Ryan S. Anderton,Bruno P. Meloni	0
2	Reversing aberrant phase transitions of ALS-linked disease protein FUS with RNA 2024 ·Biophysical Journal ·(unknown),Emma C. Robinson,James Shorter,Lin Guo	1
3	Applications of interpretable deep learning in neuroimaging: A comprehensive review 2024 ·Imaging Neuroscience ·(unknown),(unknown),(unknown),(unknown),(unknown),Emma C. Robinson,Maria Deprez,Po‐Wah So	6
4	Molecular signatures of cortical expansion in the human foetal brain 2024 ·Nature Communications ·Gareth Ball,Stuart Oldham,Vanessa Kyriakopoulou,Logan Z. J. Williams,Vyacheslav Karolis,Anthony N. Price,Jana Hutter,Marc L. Seal,Aaron Alexander‐Bloch,Joseph V. Hajnal,A. David Edwards,Emma C. Robinson,Jakob Seidlitz	5
5	The Developing Human Connectome Project: A fast deep learning-based pipeline for neonatal cortical surface reconstruction 2024 ·Medical Image Analysis ·Qiang Ma,Kaili Liang,Liu Li,(unknown),(unknown),Chiara Nosarti,Emma C. Robinson,Bernhard Kainz,Daniel Rueckert	2
6	Structural and functional asymmetry of the neonatal cerebral cortex 2023 ·Nature Human Behaviour ·Logan Z. J. Williams,Sean P. Fitzgibbon,Jelena Božek,Anderson M. Winkler,Ralica Dimitrova,Tanya Poppe,Andreas Schuh,Antonios Makropoulos,John Cupitt,Jonathan O’Muircheartaigh,Eugene Duff,Lucilio Cordero‐Grande,Anthony N. Price,Joseph V. Hajnal,Daniel Rueckert,Stephen M. Smith,A. David Edwards,Emma C. Robinson	22
7	Telomere length and brain imaging phenotypes in UK Biobank 2023 ·PLoS ONE ·Anya Topiwala,Thomas E. Nichols,Logan Z. J. Williams,Emma C. Robinson,Fidel Alfaro‐Almagro,Bernd Taschler,Chaoyue Wang,Christopher P. Nelson,Karla L. Miller,Veryan Codd,Nilesh J. Samani,Stephen M. Smith	18
8	ICAM-Reg: Interpretable Classification and Regression With Feature Attribution for Mapping Neurological Phenotypes in Individual Scans 2022 ·IEEE Transactions on Medical Imaging ·(unknown),(unknown),Carole H. Sudre,Logan Z. J. Williams,(unknown),Petru-Daniel Tudosiu,Fidel Alfaro‐Almagro,Sean P. Fitzgibbon,Matthew F. Glasser,Stephen M. Smith,Emma C. Robinson	17
9	Cross-species cortical alignment identifies different types of anatomical reorganization in the primate temporal lobe 2020 ·eLife ·Nicole Eichert,Emma C. Robinson,Katherine Bryant,Saâd Jbabdi,Mark Jenkinson,Longchuan Li,Kristine Krug,Kate E. Watkins,Rogier B. Mars	63
10	Cortical morphology at birth reflects spatiotemporal patterns of gene expression in the fetal human brain 2020 ·PLoS Biology ·Gareth Ball,Jakob Seidlitz,Jonathan O’Muircheartaigh,Ralica Dimitrova,Daphna Fenchel,Antonios Makropoulos,Daan Christiaens,Andreas Schuh,Jonathan Passerat‐Palmbach,Jana Hutter,Lucilio Cordero‐Grande,Emer Hughes,Anthony N. Price,Joseph V. Hajnal,Daniel Rueckert,Emma C. Robinson,A. David Edwards	34
11	Cross-species cortical alignment identifies different types of neuroanatomical reorganization in higher primates 2019 ·Annual Review of Biophysics ·Nicole Eichert,Emma C. Robinson,Katherine Bryant,Saâd Jbabdi,Mark Jenkinson,(unknown),Kristine Krug,(unknown),Rogier B. Mars	1
12	Dynamic patterns of cortical expansion during folding of the preterm human brain 2018 ·Proceedings of the National Academy of Sciences ·Kara Garcia,Emma C. Robinson,Dimitrios Alexopoulos,Donna Dierker,Matthew F. Glasser,Timothy S. Coalson,Cynthia M. Ortinau,Daniel Rueckert,Larry A. Taber,David C. Van Essen,Cynthia Rogers,Christopher D. Smyser,Philip V. Bayly	86
13	Reproducible Large-Scale Neuroimaging Studies with the OpenMOLE Workflow Management System 2017 ·Frontiers in Neuroinformatics ·Jonathan Passerat‐Palmbach,Romain Reuillon,(unknown),Antonios Makropoulos,Emma C. Robinson,Sarah Parisot,Daniel Rueckert	2
14	Human brain mapping: A systematic comparison of parcellation methods for the human cerebral cortex 2017 ·NeuroImage ·Salim Arslan,Sofia Ira Ktena,Antonios Makropoulos,Emma C. Robinson,Daniel Rueckert,Sarah Parisot	230
15	A multi-modal parcellation of human cerebral cortexbreakdown → 2016 ·Nature ·Matthew F. Glasser,Timothy S. Coalson,Emma C. Robinson,Carl D. Hacker,John Harwell,Essa Yacoub,Kâmil Uǧurbil,Jesper Andersson,Christian F. Beckmann,Mark Jenkinson,Stephen M. Smith,David C. Van Essen	2972
16	MSM: A new flexible framework for Multimodal Surface Matchingbreakdown → 2014 ·NeuroImage ·Emma C. Robinson,Saâd Jbabdi,Matthew F. Glasser,Jesper Andersson,Gregory C. Burgess,Michael P. Harms,Stephen M. Smith,David C. Van Essen,Mark Jenkinson	393
17	Functional connectomics from resting-state fMRIbreakdown → 2013 ·Trends in Cognitive Sciences ·Stephen M. Smith,Diego Vidaurre,Christian F. Beckmann,Matthew F. Glasser,Mark Jenkinson,Karla L. Miller,Thomas E. Nichols,Emma C. Robinson,Gholamreza Salimi‐Khorshidi,Mark W. Woolrich,Deanna M. Barch,Kâmil Uǧurbil,David C. Van Essen	683
18	Whole-Brain Mapping of Structural Connectivity in Infants Reveals Altered Connection Strength Associated with Growth and Preterm Birth 2013 ·Cerebral Cortex ·Anand Pandit,Emma C. Robinson,Paul Aljabar,Gareth Ball,Ioannis S. Gousias,(unknown),Joseph V. Hajnal,Daniel Rueckert,Serena J. Counsell,Giovanni Montana,A. David Edwards	74
19	Hierarchy in structural brain networks. 2011 ·Fani Deligianni,Emma C. Robinson,David Sharp,A. David Edwards,Daniel Rueckert,Daniel C. Alexander	1
20	Identifying population differences in whole-brain structural networks: A machine learning approach 2010 ·NeuroImage ·Emma C. Robinson,Alexander Hammers,Anders Ericsson,A. David Edwards,Daniel Rueckert	63

About Emma C. Robinson

Emma C. Robinson is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Pediatrics, Perinatology and Child Health, having authored 45 papers that have together received 6.5k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (27 papers), Advanced Neuroimaging Techniques and Applications (24 papers) and Advanced MRI Techniques and Applications (10 papers). The work is most often cited by research in Cognitive Neuroscience (5.0k citations), Radiology, Nuclear Medicine and Imaging (2.8k citations) and Experimental and Cognitive Psychology (587 citations). Emma C. Robinson has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent 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. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

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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