Matthew Ward

1.9k citations
56 papers · 1.4k · h-index 20

Impact in

  • Equine top 1%
    • Veterinary Equine Medical Research
  • Neurology top 5%
    • Vagus Nerve Stimulation Research

Papers in

Matthew Ward

51 papers receiving 1.3k citations

Peers

Matthew Ward
Comparison fields: 5 of 120
  • Equine 116
  • Neurology 255
  • Cellular and Molecular Neuroscience 516
  • Cognitive Neuroscience 466
  • Endocrine and Autonomic Systems 108
Replace Changfeng Tai with:
Changfeng Tai United States
Erik van Lunteren United States
J. Adam Wilson United States
Maciej Pawlak Poland
José L. Ochoa United States
P. F. Gardiner Canada
Alan D. Miller United States
Robert P. Tuckett United States
Peter W. McCarthy United Kingdom
Charles D. Wood United States
Matthew Ward relative to Changfeng Tai United States Changfeng Tai's profile →
Citations per field
00.5×2.7×
Changfeng Tai · 1×
Citations per year

Countries citing papers authored by Matthew Ward

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Ward

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009233
2 1964179
3 196284
4 202173
5 200568
6 201463
7 200561
8 200957
9 201846
10 201145
11 201840
12 201737
13 200936
14 201033
15 201430
16 201528
17 201727
18 201526
19 197822
20 202121

About Matthew Ward

Matthew Ward is a scholar working on Neurology, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Cardiology and Cardiovascular Medicine and Biomedical Engineering, having authored 56 papers that have together received 1.4k indexed citations. Recurring topics across this work include Vagus Nerve Stimulation Research (21 papers), Neuroscience and Neural Engineering (17 papers), EEG and Brain-Computer Interfaces (14 papers), Heart Rate Variability and Autonomic Control (9 papers), Gastrointestinal motility and disorders (7 papers), Neurological disorders and treatments (4 papers), High Altitude and Hypoxia (3 papers) and Cardiovascular and exercise physiology (3 papers). The work is most often cited by research in Equine (116 citations), Neurology (255 citations), Cellular and Molecular Neuroscience (516 citations), Cognitive Neuroscience (466 citations) and Endocrine and Autonomic Systems (108 citations). Matthew Ward has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Pedro P. Irazoqui, James S. Milledge, S. Lahiri, L. G. C. E. Pugh, M. B. Gill, John B. West, Shawn P. Clark, Azucena Sánchez, Laurent L. Couëtil and Robert M. Worth. Their work appears in journals such as The FASEB Journal, Scientific Reports, IEEE Transactions on Neural Systems and Rehabilitation Engineering, Cancer Research and Journal of Applied Physiology.

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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