Sridar Narayanan

10.3k citations
137 papers · 6.6k · 1 hit paper · h-index 48

Impact in

Papers in

Sridar Narayanan

130 papers receiving 6.5k citations

Sridar Narayanan's Hit Papers

Identifying multiple sclerosis subtypes using unsupervised machine learning and MRI data 2021 · 145 citations
1450+1+3Years since publication4080120

Peers

Sridar Narayanan
Comparison fields: 5 of 137
  • Pathology and Forensic Medicine 4.1k
  • Developmental Neuroscience 511
  • Neurology 1.2k
  • Neurology 588
  • Radiology, Nuclear Medicine and Imaging 1.5k
Replace Declan Chard with:
Declan Chard United Kingdom
Pablo Villoslada Spain
Daniel R. Altmann United Kingdom
Petra J. W. Pouwels Netherlands
Matilde Inglese Italy
Daniel Pelletier United States
Jens Wuerfel Germany
Jette Lautrup Frederiksen Denmark
Klaus Schmierer United Kingdom
David MacManus United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Sridar Narayanan

Since Specialization
Citations

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

Fields of papers citing papers by Sridar Narayanan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sridar Narayanan, 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 Sridar Narayanan Line = papers co-authored together Sridar Narayanan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 137 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001387
2 2012247
3 2000230
4 2015222
5 1997187
6 2002150
7 2000149
8 2004146
9
Identifying multiple sclerosis subtypes using unsupervised machine learning and MRI data
Hit paper breakdown →
2021145
10 1999140
11 1998135
12 2001132
13 2004127
14 2011127
15 1996124
16 2017122
17 2000122
18 2002121
19 2011117
20 2007104

About Sridar Narayanan

Sridar Narayanan is a scholar working on Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging, Rheumatology, Neurology and Cardiology and Cardiovascular Medicine, having authored 137 papers that have together received 6.6k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (94 papers), Advanced Neuroimaging Techniques and Applications (21 papers), Advanced MRI Techniques and Applications (16 papers), Systemic Lupus Erythematosus Research (13 papers), Peripheral Neuropathies and Disorders (11 papers), Ultrasound and Hyperthermia Applications (10 papers), Viral Infections and Immunology Research (9 papers) and Neurogenesis and neuroplasticity mechanisms (6 papers). The work is most often cited by research in Pathology and Forensic Medicine (4.1k citations), Developmental Neuroscience (511 citations), Neurology (1.2k citations), Neurology (588 citations) and Radiology, Nuclear Medicine and Imaging (1.5k citations). Sridar Narayanan has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Douglas L. Arnold, Jack P. Antel, Nicola De Stefano, Paul M. Matthews, D. Louis Collins, G. Bruce Pike, Maria Carmela Tartaglia, John G. Sled, Brenda Banwell and Robert A. Brown. Their work appears in journals such as NeuroImage, Multiple Sclerosis Journal, Neurology, NeuroImage Clinical and Brain.

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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