Declan Chard

141 papers receiving 6.8k citations

Declan Chard's Hit Papers

Identifying multiple sclerosis subtypes using unsupervised machine learning and MRI data 2021 · 142 citations
1420+1+3Years since publication4080120

Peers

Declan Chard
Comparison fields: 5 of 142
  • Pathology and Forensic Medicine 5.1k
  • Developmental Neuroscience 481
  • Neurology 1.7k
  • Rheumatology 1.5k
  • Radiology, Nuclear Medicine and Imaging 2.4k
Replace Sridar Narayanan with:
Sridar Narayanan Canada
Michael G. Dwyer United States
Niels Bergsland United States
Daniel R. Altmann United Kingdom
David MacManus United Kingdom
Matilde Inglese Italy
Petra J. W. Pouwels Netherlands
Vittorio Martinelli Italy
Pablo Villoslada Spain
Hugo Vrenken Netherlands
Declan Chard relative to Sridar Narayanan Canada Sridar Narayanan's profile →
Citations per field
00.5×1.6×
Sridar Narayanan · 1×
Citations per year

Countries citing papers authored by Declan Chard

Since Specialization
Citations

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

Fields of papers citing papers by Declan Chard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Declan Chard. 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 Declan Chard. The network helps show where Declan Chard may publish in the future.

Co-authors

The 25 scholars most cited alongside Declan Chard, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Declan Chard Line = papers co-authored together Declan Chard links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 149 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004376
2 2008368
3 2002351
4 2012345
5 2011237
6 2002229
7 2010217
8 2003188
9 2017167
10 2019155
11 2005144
12
Identifying multiple sclerosis subtypes using unsupervised machine learning and MRI data
Hit paper breakdown →
2021142
13 2014142
14 2002127
15 2012127
16 2004114
17 2005113
18 2001104
19 200395
20 200695

About Declan Chard

Declan Chard is a scholar working on Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging, Rheumatology, Neurology and Molecular Biology, having authored 149 papers that have together received 6.9k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (122 papers), Systemic Lupus Erythematosus Research (38 papers), Advanced Neuroimaging Techniques and Applications (30 papers), Peripheral Neuropathies and Disorders (24 papers), Ultrasound Imaging and Elastography (17 papers), RNA regulation and disease (17 papers), Rheumatoid Arthritis Research and Therapies (14 papers) and Advanced MRI Techniques and Applications (13 papers). The work is most often cited by research in Pathology and Forensic Medicine (5.1k citations), Developmental Neuroscience (481 citations), Neurology (1.7k citations), Rheumatology (1.5k citations) and Radiology, Nuclear Medicine and Imaging (2.4k citations). Declan Chard has collaborated with scholars based in United Kingdom, Italy and Spain. Frequent co-authors include David H. Miller, Alan J. Thompson, Olga Ciccarelli, Claudia A. M. Gandini Wheeler‐Kingshott, Colette Griffin, Waqar Rashid, Geoff J.M. Parker, Paul S. Tofts, Jonathan S. Jackson and Nils Muhlert. Their work appears in journals such as Multiple Sclerosis Journal, Journal of Neurology Neurosurgery & Psychiatry, Neurology, Journal of Neurology and Multiple Sclerosis and Related Disorders.

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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