Griffin Milsap

575 total citations
23 papers, 326 citations indexed

About

Griffin Milsap is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Biomedical Engineering. According to data from OpenAlex, Griffin Milsap has authored 23 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cognitive Neuroscience, 9 papers in Cellular and Molecular Neuroscience and 7 papers in Biomedical Engineering. Recurrent topics in Griffin Milsap's work include EEG and Brain-Computer Interfaces (19 papers), Neural dynamics and brain function (9 papers) and Neuroscience and Neural Engineering (9 papers). Griffin Milsap is often cited by papers focused on EEG and Brain-Computer Interfaces (19 papers), Neural dynamics and brain function (9 papers) and Neuroscience and Neural Engineering (9 papers). Griffin Milsap collaborates with scholars based in United States, Netherlands and Singapore. Griffin Milsap's co-authors include Nathan E. Crone, Qinwan Rabbani, Matthew S. Fifer, Yujing Wang, Christopher Coogan, Anna Korzeniewska, Michael Wolmetz, William S. Anderson, Heather L. Benz and Shiyu Luo and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and Scientific Reports.

In The Last Decade

Griffin Milsap

23 papers receiving 323 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Griffin Milsap United States 10 280 86 55 32 29 23 326
Adriana de Pesters United States 6 307 1.1× 93 1.1× 57 1.0× 56 1.8× 24 0.8× 9 342
Benjamin Wittevrongel Belgium 12 336 1.2× 116 1.3× 60 1.1× 51 1.6× 14 0.5× 26 395
Yuanling Jiang China 12 499 1.8× 57 0.7× 32 0.6× 38 1.2× 34 1.2× 18 546
Zhiguo Luo China 10 246 0.9× 93 1.1× 44 0.8× 15 0.5× 15 0.5× 27 339
Michael Trumpis United States 10 260 0.9× 146 1.7× 63 1.1× 43 1.3× 72 2.5× 19 364
Matthias Schultze-Kraft Germany 8 304 1.1× 68 0.8× 16 0.3× 19 0.6× 27 0.9× 8 349
Rebeca Corralejo Spain 8 270 1.0× 123 1.4× 67 1.2× 74 2.3× 21 0.7× 11 286
Guy H Wilson United States 4 365 1.3× 145 1.7× 74 1.3× 27 0.8× 42 1.4× 7 430
Jessica N. Kelemen United States 7 236 0.8× 136 1.6× 67 1.2× 14 0.4× 31 1.1× 9 265

Countries citing papers authored by Griffin Milsap

Since Specialization
Citations

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

Fields of papers citing papers by Griffin Milsap

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Griffin Milsap

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

All Works

20 of 20 papers shown
1.
Angrick, Miguel, Shiyu Luo, Qinwan Rabbani, et al.. (2025). Real-time detection of spoken speech from unlabeled ECoG signals: a pilot study with an ALS participant. Journal of Neural Engineering. 22(5). 56023–56023. 1 indexed citations
2.
Luo, Shiyu, Miguel Angrick, Qinwan Rabbani, et al.. (2024). A click-based electrocorticographic brain-computer interface enables long-term high-performance switch scan spelling. SHILAP Revista de lepidopterología. 4(1). 207–207. 4 indexed citations
3.
Angrick, Miguel, Shiyu Luo, Qinwan Rabbani, et al.. (2024). Online speech synthesis using a chronically implanted brain–computer interface in an individual with ALS. Scientific Reports. 14(1). 9617–9617. 29 indexed citations
4.
Rabbani, Qinwan, et al.. (2024). Iterative alignment discovery of speech-associated neural activity. Journal of Neural Engineering. 21(4). 46056–46056. 2 indexed citations
5.
Luo, Shiyu, Miguel Angrick, Christopher Coogan, et al.. (2023). Stable Decoding from a Speech BCI Enables Control for an Individual with ALS without Recalibration for 3 Months. Advanced Science. 10(35). e2304853–e2304853. 39 indexed citations
6.
Fitch, Michael J., Griffin Milsap, Lafe Spietz, et al.. (2021). A 32-channel frequency-domain fNIRS system based on silicon photomultiplier receivers. 38–38. 4 indexed citations
7.
Scholl, Clara A., Michael J. Fitch, Griffin Milsap, et al.. (2021). Evaluation of neural information content from the phase component of a 32-channel frequency-domain fNIRS system. 66–66. 1 indexed citations
8.
Korzeniewska, Anna, Yujing Wang, Heather L. Benz, et al.. (2020). Changes in human brain dynamics during behavioral priming and repetition suppression. Progress in Neurobiology. 189. 101788–101788. 21 indexed citations
9.
Milsap, Griffin, et al.. (2019). BCI2000Web and WebFM: Browser-Based Tools for Brain Computer Interfaces and Functional Brain Mapping. Frontiers in Neuroscience. 12. 1030–1030. 9 indexed citations
10.
Milsap, Griffin, et al.. (2019). Keyword Spotting Using Human Electrocorticographic Recordings. Frontiers in Neuroscience. 13. 60–60. 16 indexed citations
11.
Rabbani, Qinwan, Griffin Milsap, & Nathan E. Crone. (2019). The Potential for a Speech Brain–Computer Interface Using Chronic Electrocorticography. Neurotherapeutics. 16(1). 144–165. 75 indexed citations
12.
Milsap, Griffin, et al.. (2017). Semantic attributes are encoded in human electrocorticographic signals during visual object recognition. NeuroImage. 148. 318–329. 30 indexed citations
13.
Milsap, Griffin, et al.. (2017). Feature Selection Methods for Zero-Shot Learning of Neural Activity. Frontiers in Neuroinformatics. 11. 41–41. 13 indexed citations
14.
Arya, Ravindra, J. Adam Wilson, Hisako Fujiwara, et al.. (2017). Presurgical language localization with visual naming associated ECoG high‐ gamma modulation in pediatric drug‐resistant epilepsy. Epilepsia. 58(4). 663–673. 28 indexed citations
15.
Wang, Yujing, et al.. (2016). Time-varying dynamic Bayesian network model and its application to brain connectivity using electrocorticograph. Acta Physica Sinica. 65(3). 38702–38702. 5 indexed citations
16.
Fifer, Matthew S., Heather L. Benz, David P. McMullen, et al.. (2016). Cortical subnetwork dynamics during human language tasks. NeuroImage. 135. 261–272. 17 indexed citations
17.
Xu, Guizhi, Lei Wang, Matthew R. Masters, et al.. (2015). The anterior contralateral response improves performance in a single trial auditory oddball BMI. Biomedical Signal Processing and Control. 22. 74–84. 7 indexed citations
18.
Thakor, Nitish V., Matthew S. Fifer, Guy Hotson, et al.. (2014). Neuroprosthetic limb control with electrocorticography: Approaches and challenges. PubMed. 2014. 5212–5215. 6 indexed citations
19.
Milsap, Griffin, Matthew S. Fifer, Nathan E. Crone, & Nitish V. Thakor. (2013). Listening to the music of the brain: Live analysis of ECoG recordings using digital audio workstation software. 682–685. 1 indexed citations
20.
Fifer, Matthew S., Griffin Milsap, David P. McMullen, et al.. (2013). Design and implementation of a human ECoG simulator for testing brain-machine interfaces. National University of Singapore. 3. 1311–1314. 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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