Jay Harvey

1.4k citations
39 papers · 1.0k indexed · h-index 15

Impact in

Papers in

Jay Harvey

37 papers receiving 993 citations

Peers

Jay Harvey
Comparison fields: 5 of 117
  • Psychiatry and Mental health 405
  • Cognitive Neuroscience 456
  • Cellular and Molecular Neuroscience 199
  • Pediatrics, Perinatology and Child Health 199
  • Signal Processing 100
Replace Michael D. Hills with:
Michael D. Hills New Zealand
Claudio Lucchiari Italy
Brent Berry United States
Christian Lindner Germany
Carmen E. Sanchez United States
Francisco J. Román Spain
John M. Holahan United States
Phil Adams United States
Esperanza Báusela Herreras Spain
Akira Uno Japan
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Citations per field
00.5×4.0×
Michael D. Hills · 1×
Citations per year

Countries citing papers authored by Jay Harvey

Since Specialization
Citations

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

Fields of papers citing papers by Jay Harvey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1984226
2 2017103
3 201498
4 201698
5 201780
6 201565
7 200065
8 200138
9 202128
10 199826
11 202021
12 201521
13 198421
14 199620
15 201416
16 201813
17 202312
18 200112
19 202012
20 201710

About Jay Harvey

Jay Harvey is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health, General Psychology, Signal Processing and Cellular and Molecular Neuroscience, having authored 39 papers that have together received 1.0k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (24 papers), Epilepsy research and treatment (14 papers), Blind Source Separation Techniques (8 papers), ECG Monitoring and Analysis (7 papers), Neuroscience and Neuropharmacology Research (5 papers), Functional Brain Connectivity Studies (5 papers), Pharmacological Effects and Toxicity Studies (4 papers) and Neurological disorders and treatments (4 papers). The work is most often cited by research in Psychiatry and Mental health (405 citations), Cognitive Neuroscience (456 citations), Cellular and Molecular Neuroscience (199 citations), Pediatrics, Perinatology and Child Health (199 citations) and Signal Processing (100 citations). Jay Harvey has collaborated with scholars based in United States, Portugal and South Korea. Frequent co-authors include Gifford Weary, Mehrdad Nourani, Diana Cogan, Javad Birjandtalab, Michael R. Sperling, Venkatesh Nagaraddi, Maziyar Baran Pouyan, David Blum, Hailong Cheng and Hollis N. Erb. Their work appears in journals such as Epilepsia, Neurology, Computers in Biology and Medicine, International Journal of Neural Systems and Epilepsy Research.

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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