Jay Gunkelman

483 total citations
16 papers, 300 citations indexed

About

Jay Gunkelman is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Pharmacology. According to data from OpenAlex, Jay Gunkelman has authored 16 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cognitive Neuroscience, 7 papers in Psychiatry and Mental health and 2 papers in Pharmacology. Recurrent topics in Jay Gunkelman's work include EEG and Brain-Computer Interfaces (6 papers), Attention Deficit Hyperactivity Disorder (5 papers) and Functional Brain Connectivity Studies (3 papers). Jay Gunkelman is often cited by papers focused on EEG and Brain-Computer Interfaces (6 papers), Attention Deficit Hyperactivity Disorder (5 papers) and Functional Brain Connectivity Studies (3 papers). Jay Gunkelman collaborates with scholars based in United States, Netherlands and Canada. Jay Gunkelman's co-authors include Jack Johnstone, Martijn Arns, Desirée Spronk, M.H.M. Breteler, Donald Moss, Louis Mayaud, Seung‐Wan Kang, Marco Congedo, Daekeun Kim and Yann Renard and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neurophysiologie Clinique and Applied Psychophysiology and Biofeedback.

In The Last Decade

Jay Gunkelman

13 papers receiving 266 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jay Gunkelman United States 8 250 152 35 33 22 16 300
Cynthia Kerson United States 7 250 1.0× 115 0.8× 34 1.0× 36 1.1× 26 1.2× 14 290
Vera A. Grin-Yatsenko Russia 7 382 1.5× 133 0.9× 52 1.5× 73 2.2× 15 0.7× 13 429
Maja Kobel Switzerland 6 237 0.9× 239 1.6× 35 1.0× 14 0.4× 22 1.0× 6 346
Л С Чутко Russia 7 143 0.6× 145 1.0× 24 0.7× 23 0.7× 45 2.0× 75 294
Christopher J. Kroppmann United States 9 305 1.2× 58 0.4× 71 2.0× 20 0.6× 21 1.0× 9 372
Roger deBeus United States 8 254 1.0× 196 1.3× 45 1.3× 16 0.5× 23 1.0× 22 351
Susanna Johnson United States 9 205 0.8× 107 0.7× 76 2.2× 17 0.5× 54 2.5× 9 277
Franca E. Dupuy Australia 14 484 1.9× 386 2.5× 32 0.9× 19 0.6× 23 1.0× 18 546
María Carmen Martín-Buro Spain 9 323 1.3× 70 0.5× 46 1.3× 13 0.4× 14 0.6× 11 377
Maike Kleemeyer Germany 7 133 0.5× 83 0.5× 21 0.6× 19 0.6× 18 0.8× 8 223

Countries citing papers authored by Jay Gunkelman

Since Specialization
Citations

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

Fields of papers citing papers by Jay Gunkelman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jay Gunkelman

This figure shows the co-authorship network connecting the top 25 collaborators of Jay Gunkelman. A scholar is included among the top collaborators of Jay Gunkelman 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 Jay Gunkelman. Jay Gunkelman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
2.
Barthélemy, Quentin, Louis Mayaud, Yann Renard, et al.. (2017). Online denoising of eye-blinks in electroencephalography. Neurophysiologie Clinique. 47(5-6). 371–391. 20 indexed citations
3.
4.
Gunkelman, Jay. (2014). Medication Prediction with Electroencephalography Phenotypes and Biomarkers. Biofeedback. 42(2). 68–73. 2 indexed citations
5.
Cannon, Rex, et al.. (2014). Special Issue: Advances in the Use of QEEG and Neurofeedback for ADHD. Biofeedback. 42(2). 37–38.
6.
Gunkelman, Jay, et al.. (2010). The Healing Connection: EEG Harmonics, Entrainment, and Schumann's Resonances. SHILAP Revista de lepidopterología. 2 indexed citations
7.
Arns, Martijn, Jay Gunkelman, M.H.M. Breteler, & Desirée Spronk. (2008). EEG PHENOTYPES PREDICT TREATMENT OUTCOME TO STIMULANTS IN CHILDREN WITH ADHD. Journal of Integrative Neuroscience. 7(3). 421–438. 116 indexed citations
8.
Peper, Erik, et al.. (2006). Tongue Piercing by a Yogi: QEEG Observations. Applied Psychophysiology and Biofeedback. 31(4). 331–338. 4 indexed citations
9.
Johnstone, Jack, et al.. (2005). Clinical Database Development: Characterization of EEG Phenotypes. Clinical EEG and Neuroscience. 36(2). 99–107. 62 indexed citations
10.
Gunkelman, Jay & Jack Johnstone. (2005). Neurofeedback and the Brain. Journal of Adult Development. 12(2-3). 93–98. 40 indexed citations
11.
Johnstone, Jack & Jay Gunkelman. (2003). Use of Databases in QEEG Evaluation. Journal of Neurotherapy. 7(3-4). 31–52. 18 indexed citations
12.
Moss, Donald & Jay Gunkelman. (2002). Task Force Report on Methodology and Empirically Supported Treatments: Introduction. Applied Psychophysiology and Biofeedback. 27(4). 271–272. 14 indexed citations
13.
Gunkelman, Jay. (2002). TECHNICAL NOTES. Journal of Neurotherapy. 6(2). 45–45. 1 indexed citations
14.
Moss, Donald & Jay Gunkelman. (2002). Task Force Report on Methodology and Empirically Supported Treatments: Introduction. Journal of Neurotherapy. 6(4). 7–10. 1 indexed citations
15.
Hammond, D. Corydon, et al.. (2001). CLINICAL CORNER. Journal of Neurotherapy. 5(1-2). 107–128. 7 indexed citations
16.
Gunkelman, Jay. (2000). Hjorth Referencing in QEEG. Journal of Neurotherapy. 4(1). 57–62. 1 indexed citations

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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