Daniel W. Shrey

715 total citations
26 papers, 319 citations indexed

About

Daniel W. Shrey is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Daniel W. Shrey has authored 26 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cognitive Neuroscience, 14 papers in Psychiatry and Mental health and 8 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Daniel W. Shrey's work include Epilepsy research and treatment (13 papers), EEG and Brain-Computer Interfaces (12 papers) and Functional Brain Connectivity Studies (8 papers). Daniel W. Shrey is often cited by papers focused on Epilepsy research and treatment (13 papers), EEG and Brain-Computer Interfaces (12 papers) and Functional Brain Connectivity Studies (8 papers). Daniel W. Shrey collaborates with scholars based in United States, Saudi Arabia and China. Daniel W. Shrey's co-authors include Beth A. Lopour, Christopher C. Giza, Grace S. Griesbach, Shaun A. Hussain, Rachel J. Smith, Rajsekar R. Rajaraman, Hernando Ombao, Neggy Rismanchi, John R. Mytinger and Rui Song and has published in prestigious journals such as IEEE Transactions on Biomedical Engineering, SLEEP and Epilepsia.

In The Last Decade

Daniel W. Shrey

24 papers receiving 315 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel W. Shrey United States	11	154	127	68	49	44	26	319
Lewis L. Kull United States	6	109 0.7×	152 1.2×	32 0.5×	60 1.2×	70 1.6×	10	303
Sébastien Boulogne France	9	112 0.7×	155 1.2×	47 0.7×	95 1.9×	62 1.4×	28	306
Angelo Pascarella Italy	9	44 0.3×	90 0.7×	152 2.2×	56 1.1×	37 0.8×	33	329
Wolfgang Mühlhofer United States	7	88 0.6×	169 1.3×	12 0.2×	90 1.8×	76 1.7×	11	296
Neşe Dericioğlu Türkiye	13	122 0.8×	263 2.1×	18 0.3×	113 2.3×	124 2.8×	52	449
Daniela Audenino Italy	8	28 0.2×	154 1.2×	35 0.5×	71 1.4×	75 1.7×	17	304
Christa B. Swisher United States	13	177 1.1×	282 2.2×	34 0.5×	158 3.2×	178 4.0×	25	490
Anne E. Keller Canada	11	79 0.5×	178 1.4×	15 0.2×	46 0.9×	115 2.6×	23	308
Maxwell Wang United States	8	157 1.0×	30 0.2×	92 1.4×	15 0.3×	41 0.9×	14	323
Manuel Buitrago‐Blanco United States	3	81 0.5×	90 0.7×	60 0.9×	36 0.7×	53 1.2×	5	243

Countries citing papers authored by Daniel W. Shrey

Since Specialization

Citations

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

Fields of papers citing papers by Daniel W. Shrey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel W. Shrey. 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 Daniel W. Shrey. The network helps show where Daniel W. Shrey may publish in the future.

Co-authorship network of co-authors of Daniel W. Shrey

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

All Works

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20 of 20 papers shown

Harini, Chellamani, Shaun A. Hussain, Avantika Singh, et al.. (2025). Treatment Practices for Infantile Epileptic Spasms Syndrome: Consensus and Variation in Major Pediatric Epilepsy Centers. Pediatric Neurology. 174. 46–53.

Smith, Rachel J., Shaun A. Hussain, Donald J. Phillips, et al.. (2025). EEG functional connectivity as a marker of evolution from infantile epileptic spasms syndrome to Lennox–Gastaut syndrome. Epilepsia. 67(2). 895–907.

Ombao, Hernando, et al.. (2024). Electrode Surface Area Impacts Measurement of High Frequency Oscillations in Human Intracranial EEG. IEEE Transactions on Biomedical Engineering. 71(11). 3283–3292. 2 indexed citations

Joshi, Charuta, Rani K. Singh, Gang Liu, et al.. (2024). Determinants of successful ictal SPECT injection in phase 1 epilepsy presurgical evaluation: Findings from the pediatric epilepsy research consortium surgery database project. Epilepsia Open. 9(4). 1467–1479. 1 indexed citations

Adams, David J., et al.. (2024). Discovering EEG biomarkers of Lennox–Gastaut syndrome through unsupervised time–frequency analysis. Epilepsia. 66(2). 541–553. 2 indexed citations

Rajaraman, Rajsekar R., Rachel J. Smith, Shingo Oana, et al.. (2024). Computational EEG attributes predict response to therapy for epileptic spasms. Clinical Neurophysiology. 163. 39–46. 2 indexed citations

Ombao, Hernando, et al.. (2023). A novel method for dynamically altering the surface area of intracranial EEG electrodes. Journal of Neural Engineering. 20(2). 26002–26002. 7 indexed citations

Adams, David J., et al.. (2023). Interrater reliability of interictal EEG waveforms in Lennox–Gastaut Syndrome. Epilepsia Open. 9(1). 176–186. 3 indexed citations

Shrey, Daniel W., et al.. (2023). Hyperventilation and Seizures: Not a New Sense: A Literature Review. Neuropediatrics. 54(6). 359–364. 2 indexed citations

10.

Hussain, Shaun A., et al.. (2022). Evolution of Cortical Functional Networks in Healthy Infants. PubMed. 2. 893826–893826. 9 indexed citations

11.

Gray, Wendy N., Michelle Kennedy, Karina Chávez, et al.. (2022). Integrating transition readiness assessment into clinical practice: Adaptation of the UNC TRXANSITION index into the Cerner electronic medical record. Journal of Pediatric Nursing. 71. 127–134. 5 indexed citations

12.

Mytinger, John R., et al.. (2022). EEG biomarkers for the diagnosis and treatment of infantile spasms. Frontiers in Neurology. 13. 960454–960454. 18 indexed citations

13.

Smith, Rachel J., et al.. (2021). Infant functional networks are modulated by state of consciousness and circadian rhythm. Network Neuroscience. 5(2). 1–17. 10 indexed citations

14.

Miyakoshi, Makoto, Hiroki Nariai, Rajsekar R. Rajaraman, et al.. (2021). Automated preprocessing and phase-amplitude coupling analysis of scalp EEG discriminates infantile spasms from controls during wakefulness. Epilepsy Research. 178. 106809–106809. 10 indexed citations

15.

Shrey, Daniel W., et al.. (2021). Underrepresented Populations in Pediatric Epilepsy Surgery. Seminars in Pediatric Neurology. 39. 100916–100916. 7 indexed citations

16.

Smith, Rachel J., et al.. (2021). Computational characteristics of interictal EEG as objective markers of epileptic spasms. Epilepsy Research. 176. 106704–106704. 23 indexed citations

17.

Shrey, Daniel W., et al.. (2020). Effect of interictal epileptiform discharges on EEG-based functional connectivity networks. Clinical Neurophysiology. 131(5). 1087–1098. 15 indexed citations

18.

McCrimmon, Colin M., et al.. (2020). Automated detection of ripple oscillations in long-term scalp EEG from patients with infantile spasms. Journal of Neural Engineering. 18(1). 16018–16018. 17 indexed citations

19.

Shrey, Daniel W., et al.. (2018). Strength and stability of EEG functional connectivity predict treatment response in infants with epileptic spasms. Clinical Neurophysiology. 129(10). 2137–2148. 40 indexed citations

20.

Smith, Rachel J., et al.. (2017). Long-Range Temporal Correlations Reflect Treatment Response in the Electroencephalogram of Patients with Infantile Spasms. Brain Topography. 30(6). 810–821. 21 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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